Remote Sensing Application (RSA)

    About the Division

    The Division of Remote Sensing Applications (RSA) is established in 1985 as research division of NBSS&LUP for conducting research on application of remote sensing technologies for inventory of soil resource, characterization of watersheds, assessment of soil degradation and ecological studies for land resources management. The division is also carrying out studies to develop innovative techniques of using the latest satellite data in soil characterization and mapping applications.


     

    Mandate
    •   To conduct applied and basic research in application of remote sensing and GIS in soils and agriculture;
    •   To provide scientific input and support to other Divisions and Centres of the institute in remote sensing and GIS applications; and
    •   To build capacity in Remote Sensing and GIS applications in agriculture including Post-Graduate Teaching and Research.
    List of Scientists

     

    Name Designation Discipline E-mail Biodata PMS
    Dr. M.S.S. Nagaraju Pr. Scientist & I/c, Head Soil Science Meesala.Nagaraju@icar.gov.in View Biodata PMS
    Dr. G. P. Obi Reddy Principal Scientist Geography GPO.Reddy@icar.gov.in View Biodata PMS
    Dr. H. Biswas Principal Scientist Soil Science hrittick.biswas@icar.gov.in View Biodata PMS
    Dr. Nirmal Kumar Sr. Scientist Agril. Physics Nirmal.Kumar3@icar.gov.in View Biodata PMS
    Dr. Sudipta Chattaraj Scientist Soil Phy./Soil & Water Consv. chattaraj.iari@gmail.com View Biodata PMS
    Shri Benukantha Dash Scientist L&WME Benukantha.Dash@icar.gov.in View Biodata PMS
    Shri Sunil B.H. Scientist Soil Science sunil.bh@icar.gov.in View Biodata PMS
    Infrastructure
     

     

    The Division of Remote Sensing Applications has the following laboratories:

    •  Soil spectral reflectance laboratory with ASD FieldSpec Spectroradiometer.
    • Digital image processing laboratory equipped with RS and GIS software viz. Geomatica, ArcGIS, ERDAS, ENVI, Ecognition, TNTMips, Scanex and ILWIS.
    • A modest laboratory for analysis of soil physical and chemical parameters.
    • Data Centre is equipped with latest remote sensing and GIS software viz. ArcGIS Desktop, Arc GIS Server, Geomatica, ERDAS, Ecognition, TNTMips, and Scanex.
    • Cartography unit is furnished with latest remote sensing and GIS software viz. ArcGIS Desktop, Geomatica, Ecognition.


     

    Achievement (Project completed)

     

     

     

    Completed Institutional Projects

     

    1.  Prediction of soil fertility parameters through Visible and Near Infrared (VNIR) soil reflectance data     of  West Bengal

     

                 The project was undertaken to investigate the relationship between various soil fertility parameters and soil spectral reflectance data (350 - 2500 nm) and to develop soil reflectance spectral model for prediction of soil fertility parameters.  For this, 3627 surface legacy soil samples collected by Regional Centre, Kolkata from Birbhum, Jalpaiguri and 24 Pargana districts of West Bengal were used. Soil samples were analyzed for pH, OC, available N, P, K, S, Cu, Fe, Mn and Zn using standard methods. Soil reflectance spectra of two thousand five hundred sixty-seven samples (<2 mm size) were recorded using a FieldSpec Pro FR spectroradiometer (Analytical SpectralDevices Inc., Boulder, Colorado) at wavelengths from 350 to2500 nm with a spectral sampling interval of 1 nm.

                  The datasets (n= 3627) was divided into two sets viz. calibration and validation sets for developing spectral models for prediction of soil fertility parameters. The approach was to first use cross-validation with all samples in the calibration dataset, and subsequently to test the prediction accuracy using independent validation dataset. Calibrations between soil reflectance and soil parameters were performed using partial least square regression analysis. The best spectral model which resulted in high coefficient of determination of validation (r2), low root mean square error of prediction (RMSEP) and high RPD values was selected. 

                  The statistical parameters of the developed spectral models are summarized in table 1. Relatively good calibration models (Fig. 1) have been obtained for EC, OC, available nitrogen, phosphorus (P2O5) and potash (K2O) which showed coefficient of determination (r2)more than 0.60 and RPD values greater than 1.70 in independent validation datasets. This indicates that soil fertility variables viz. EC, OC and available nitrogen, phosphorous and potash can reliably be predicted from soil reflectance data.


    2.  Comparative assessment of large-scale mapping through conventional survey and remote sensing techniques - A case study in Parsori watershed,  Katol tehsil, Nagpur district, Maharashtra state

     

                    The study was undertaken to compare the detailed soil maps prepared following conventional survey and using remote sensing techniques in terms of its accuracy and cost effectiveness. In conventional survey, soil map was prepared based on intensive field traversing and ground truth checking using cadastral map as base. A total of seven soil series were identified and mapped as phases of soil series into 26 mapping units (Fig. 2a). In remote sensing approach, 24 physiogaphic cum photomorphic units were delineated based on visual interpretation of IRS-P6 LISS-IV PAN merged data. A total of 75 pedons were examined for establishing physiography–soil relationship. 5 soil series were identified and mapped as phases of soil series into 12 soil mapping units (Fig. 2b).

                For assessing the purity of legend of soil map, methodology suggested by Forbes et al. (1987) was used. Seven soil properties viz. soil depth, colour, texture, drainage, erosion, stoniness, and calcareousness were usedfor comparison. The soil map prepared by remote sensing technique was tested using 136 observations collected during conventional survey whereas the soil map prepared by conventional survey was tested using field observations collected during survey based on RS technique. Both the maps showed acceptable level of legend purity.


                 The overall accuracy of soil map was determined using binomial test of accuracy (Rossitter, 2001). The results revealed that the map prepared by remote sensing technique had an accuracy of 59 to 73 percent at 90% probability, whereas, the map prepared by conventional soil survey had an accuracy of 67 to 85% at 90% probability. This indicates that the map prepared by RS techniques can be considered to be reliable and acceptable. The comparison of cost and time spent in soil mapping by both techniques indicated that there was about 23% saving in cost and 32% in time (no. of days) when remote sensing-based soil mapping is done.

     

     

    3.  Detailed soil mapping in basaltic terrain for land resources management using Cartosat-1 data (A collaborative project between NBSS&LUP and RRSC-C Nagpur)

     

                 Soils are normally mapped based on landform-soil relation. The accuracy of soil map largely depends on how precisely and accurately the landform units are delineated.  A stereo pair of Cartosat-1 data provides the opportunity for precise and accurate delineation of landform units as it can be used to generate digital elevation model (DEM) for 3-D viewing of the area for delineation of landforms, generation of contours (10m) and deriving information on slope of land. Keeping this in view, the project aimed to study the applicability of high resolution Cartosat-1 data in detailed characterization of land resources and to develop the methodology for its application in detailed soil mapping at 1:10K scale.

                The flow chart of methodology for detailed soil mapping using Cartosat-1 data is presented at figure 3.1. As a case study, Savli village of Wardha district was selected to test the methodology of detailed soil mapping using Cartosat-1 data.   DEM was generated from Cartosat-1 stereo pair and contours at 10 m intervel and slope map were prepared. Using DEM and ortho-rectified Cartosat-1 data, anaglyph was generated for 3-D viewing and delineation of major landform units viz. plateau, escarpment, pediment, alluvial plain and narrow valley. The major landforms were further subdivided based on elevation. The pediments were subdivided in to upper and lower pediments and the alluvial plain was divided in to upper and lower alluvial plain.  Land use/land cover map of the area was prepared using Cartosat-1 sharpened IRS-P6 LISS-IV data (November, 2008; January 2010).  Landform, slope and land use/land cover maps have been integrated and 48 PLU (physiography-land use) units were delineated (Fig. 3.2a). Fifty two profiles were studied and soils were grouped into 9soil series (Fig. 3.2b) and mapped as phases of soil series. 

     





    4.  Assessment and mapping of spatial variability of soil properties in basaltic terrain for precision agriculture using VNIR spectroscopy and geo-statistical  techniques

     

                 The study was undertaken to quantify the spatial variation of soil properties in basaltic terrain using VNIR spectroscopy and geospatial techniques. Nagalvadi micro-watershed (area 460 ha) in Wardha district of Maharashtra was selected in the study and 146 soil samples were collected at a grid interval of 200 by 200 m. Soils were analyzed for physical, hydraulic, chemical and fertility parameters and statistical analysis was done. Spectral reflectance characteristics (350- 2500 nm) of soil samples collected were studied using ASD spectroradiometer.

                Soil spatial variability was quantified through semivariogram analysis and the maps were prepared through ordinary kriging. Spherical model fits well with experimental semivariogram of sand, pH, OC, CEC, moisture retention at -33 and -1500 kPa, available P, K, Fe and Cu, whereas, Gaussian model was found to be the best fit for silt, clay, available N, Mn and Zn. The kriged maps indicated that the available N, P and K was low, very low to low and low to very high, respectively (Fig. 4 a to c). DTPA-extractable micronutrients indicated that available Fe, Mn and Cu was adequate, whereas, available Zn was found deficient in the study area. The kriged maps combined with cadastral maps provides site-specific spatial variation in soil characteristics and soil nutrient availability to improve the nutrient use efficiency of applied nutrients and yields at farm level.

                For developing spectral models for prediction of soil properties, all the datasets were randomly divided in to two sets viz. calibration and validation datasets. Each soil property of the calibration datasets was calibrated with soil reflectance data using PLSR (Partial Least Square Regression) technique to identify the best possible spectral models for prediction of soil properties. Coefficient of determination (r2) values of different spectral models of soil properties ranged between 0.52 and 0.80. Spectral models obtained for those soil properties for which coefficient of regression were less than 0.5 were rejected and dropped from further testing. The spectral models were applied on validation data to test the suitability of the model. Relatively good spectral models were obtained for sand (r2: 0.79) clay (r2: 0.60), moisture retention at 33 kPa (r2: 0.68), moisture retention at 1500 kPa (r2: 0.66), pH (r2: 0.77), OC (r2: 0.66), available Fe (r2: 0.73), available Mn (r2: 0.66), available Cu (r2: 0.66) and available Zn (r2: 0.71).

     


     

    5. Integrated use of remote sensing and field data for assessing soil quality under rainfed conditions in Parsori watershed, Katol tehsil, Nagpur district, Maharashtra

     

                  In this study, the concept of a vegetation index namely Sustainable Vegetation Index (SVI) on the lines of Sustainable Yield Index is proposed; as an alternative measure of soil quality for biomass production and also as a dependent variable for identifying the minimum dataset required to estimate soil quality index. Cartosat-1 DEM of 10 m resolution was used to derive primary (slope, aspect, hillshade, curvature etc.) and secondary (topographical wetness index, stream power index etc.)terrain attributes. The minimum dataset (MDS) is identified through Pearson correlation matrix of soil and terrain variables in respect of SVI using 2-tailed significance test (P ≤0.05) as a threshold for selection in each LUT. Land use/land cover map of the Parsori watershed was prepared through visual analysis of IRS-P6 LISS-IV data. Sustainable vegetation index (SVI) for different land use/land cover classes were calculated (Fig 5a,b,c). SVI is categorized as poor, moderate, good and very good  based on the threshold values defined as <40, 40-60, 60-80, ≥80% of the maximum SVI in the corresponding agricultural land use, respectively.

                  MDS identified under single crop, double crop and orchard lands comprise of 2 (elevation and organic carbon), 5 (elevation, sediment transport index, organic carbon, clay and moisture retention at field capacity) and 4 (elevation, aspect, CaCO3 and depth) parameters, respectively. Among soil variables, soil depth, clay, CaCO3 content and -33Kpa soil moisture showed good correlation with SVI. Topo-transfer functions were developed for prediction of organic carbon, clay and soil depth from terrain parameters.  

    Organic Carbon (%) = 5.917 – (0.029 * Hillshade) – (0.038 *Slope) ………Eq.1

    Clay (%) = 137.371 + (2.27 * TWI) – (0.058 * Aspect) – (0.206 * Elevation) ……eq.2

    Soil depth (cm) = 849.96 – (1.695 * Elevation) – (855.233 * Plan curvature)  …….Eq.3.

                 The calibration statistics in terms of R2, AMRE (Absolute Mean Relative Error), RMSE (Root of the Mean Square Error), NRMSE (Normalized RMSE), SE (Standard Error of Mean) revealed good calibration having values as 0.75, 0.15, 0.12, 0.18, and 0.03 for OC;  0.83, 0.08, 4.69, 0.09 and 1.53 for clay; and  0.81, 0.42, 15.57, 0.32 and 4.86 for depth, respectively. Validation statistics of the models i.e. R2 (0.80, 0.80 and 0.84), AMRE (0.12, 0.08 and 0.30), RMSE (0.10, 4.95 and 18.35), NRMSE (0.13, 0.10 and 0.25) and SE (0.05, 2.50 and 9.69) also indicate an efficient prediction of OC, clay and depth, respectively.

     


     

    6. Digital soil mapping using digital terrain analysis and multispectral remote sensing data - A pilot study in  Tendulwani watershed of Nagpur district, Maharashtra

     

                The project is aimed at exploring the possibility of using remote sensing and GIS technologies for developing digital soil maps in order to provide an alternative to conventional soil survey and mapping methods through increased automation using geo-informatics. Soils are generally mapped based on landform-soil relation. A stereo pair of Cartosat-1 data provides the scope of precise and accurate delineation of landform units. To test the methodology, Tendulwani watershed, Nagpur was selected for the pilot study. Cartosat-1 was ortho-rectified and DEM was generated and smoothened. Derivation of primary (Slope, aspect, hill shade, curvature, drainage etc.) and secondary (Topographical wetness index (TWI), Stream power index (SPI), etc.) terrain attributes were accomplished based on digital terrain analysis.

                Digital landform analysis model has been developed through object based analysis of major terrain attributes (elevation, slope, contour and profile curvature) along with other remote sensing data products (NDVI). Digital landform map shows the major landform units viz. plateau, isolated hillocks, escarpment, pediment, upper and lower alluvial plain and channels occupy 28, 1, 8, 35, 17, 4 and 6% of the total geographical area (TGA = 1080.3 ha) of the watershed, respectively. Further, digital land use/land cover analysis was achieved using cadastral map along with NDVI and LISS-IV band information. Land use/land cover map of the watershed reveals maximum area under forest (34.1%) followed by single crop (26.9%); whereas wasteland and double crop share 23.2 and 9.6% of TGA respectively.  The landform, slope and land use/land cover maps were integrated in GIS and a composite map show 35 physiography-land use (PLU) units.

             Landscape ecological unit (LEU) map was generated by integrating the landform (derived using object based image analysis approach), slope (from analysis of Cartosat-1 DEM) and land use layers (Image analysis of Cartosat-LISS-IV data). A total 33 units of LEUs were obtained in the watershed. The uniform LEU schema composed of capital letters (Landform), followed by numeric character (slope class) and small letter (land use) is developed.

               The LEU-soil relationship developed from the legacy data of Parsori watershed (neighboring watershed) through expert based method was applied on the Tendulwani watershed to generate the digital soil map (Fig. 6). The digital soil map of the watershed is having 5 soil series and 26 phases.

     


     

    7.  Digital terrain modeling for object based automatic delineation and classification of landforms in Katol tehsil, Nagpur district using high resolution Cartosat DEM and IRS P-6 LISS IV data

               The project was aimed to generate automatic delineation of landforms using object based image segmentation and to classify the digital landforms using suitable classification algorithms. In the project ortho-rectified Cartosat DEM (2.5m) and IRS P6 LISS-IV Mx datasets were used to generate various digital terrain variables in GIS format. Various primary (slope, aspect, curvature, contour etc.) and secondary terrain variables (topographic wetness index, topographic position index and topographic roughness index) have been generated for the tehsil using Cartosat-1 DEM. Seamless DEM (10 m) and ortho images for the Katol tehsil from Cartosat–1 Stereo-pairs has been generated. Decision rules have been developed in eCognition software for automated delineation of landforms using object based image analysis techniques from the terrain and land use parameters generated from Cartosat DEM (10 m) and LISS IV images. Various primary (slope, aspect, curvature, contour etc.) and secondary terrain variables (topographic wetness index, topographic position index and topographic roughness index) have been generated for the tehsil using Cartosat-1 DEM. The landform classification system was followed based on the neighborhood relationships and topological functions. This work demonstrates the capabilities of multi-scale image segmentation/object relationship modeling methodology in GIS for terrain classification and automatic landform mapping. GPS based field survey data collected on landscape, landforms, slope and land use/land cover for 50 locations were used to validate the delineated landforms in the tehsil. The landform of part of Katol tehsil delineated based on the object based automatic delineation and classification algorithm is shown in figure 7.

     

     


     

    8.   Development of Indian Soil Information System - A GeoPortal

     

                  Initially, the need analysis was carried out to understand the available data formats, data gaps and source of datasets to develop robust soil information system and develop prototype Geoportal. The data input schema was developed and available soil resources and allied data were reengineered to develop soil information system. In compilation of spatial datasets, different data formats were brought into a single generic model. Soils data on 1:1m, 1:250,000 and 1:50,000 scales for the selected districts, soil loss, degraded and wastelands data, AWiFs data (58m), IRS-P6 LISS-III (23.5m), satellite data, SRTM (90m), ASTER (30m), GDEM, were brought under soil information system. The seamless mosaic of satellite database for India was developed by using about 370 scenes of IRS-P6 LISS-III satellite data. To develop digital elevation models of India at 30m resolution, 375 scenes of Cartosat and 400 scenes of ASTER GDEM, respectively have been used. The climatic database for India has been generated using the available climatic data for 1600 stations. The 10 km grid point data at state level for about 19,000 grid points have been compiled.

                  The protype Geoportal with Web Map Services (WMS), Web Catalogue Services (WCS), interface tools and minimum Geoportal functionalities have been developed. In the developed prototype Geoportal various thematic map services have been deployed as WMS services with uniform projection standards. A thematic web service allows users to specify a link to the data source, enabling users to produce thematic maps. The Catalogue Service component provides the underlying database and data management capabilities that enable users to post and discover metadata records. Data and data services were catalogued systematically according to a metadata standards and schema designated for Geoportal. Geoportal provide an easy-to-use interface for users to visualize and access resources registered with the Geoportal to use in their own projects. The web mapping applications were created using the ArcGIS Viewer for Flex plugin. The map package was then published to the server hosting the web mapping services. After the necessary tools were added, the prototype Geoportal has been structured and configured in the local host. The user interface of developed prototype Geoportal and Landsat ETM+ data of India as WMS are shown in fig 8.

     


     

    9.  Development of District Soil Information System on 1:50,000 Scale (50 Districts)

     

                 The core objective of the project was to develop District Soil Information System (DSIS) for 50 districts on 1:50,000 scale with uniform standards to store, query, update and manage the district level soils database. In the project, the standardized protocols and procedures have been developed to organize the district level soils data in GIS. The standardized and enriched district soil information system has been developed for 50 districts to query, update and retrieve soils and associated database at district level for the users. The soil database for 50 districts, which includes Jorhat, Kamroop, Morigaon, North Tripura, Sibsagar, South Tripura  and West Tripura District (North-East region), Bastar, Bhandara, Chandrapur, Gondia, Raisen, Seoni, Wardha and Yavatmal District (Central region), Bellary, Chitradurga, Hassan, Kolar, Medak, Mysore, Tumkur, North Goa, South Goa and Mallampuram District (Southern region), Ajmer, Banswara, Bhilwara, Bundi (Western region), Arungabad, Bankura, Bardhaman, Birbhum, East Sikkim, Hugli, Kooch Bihar, Madhubani, North Sikkim, Puri, Purulia, Ranchi, Sambalpur, South Sikkim and West Sikkim District (Eastern region), and Delhi, Fatehgarh Sahib, Hoshiarpur, Moradabad, Mujaffarnagar, Nawashahar and Patiala District (Northern region) districts have been digitized and brought under DSIS.

               The available databases on soil loss, degraded/wastelands, climate and AER and AESR have been harmonized with districts soils database. The terrain database on SRTM DEM (90m) and ASTER DEM (30m) as well as two dates (kharif and rabi) of Landsat ETM+ (30m) data at district level was also developed to understand the soil–terrain-land use/land cover relationship. About 30 terrain and soil based thematic maps have been generated for each district. The digital elevation, satellite data, soil resource database and soil based thematic databases have been integrated with Indian Soil Information System and Geoportal. DSIS ensures data standardization, easy maintenance and updation and query district level soil databases. The district soil information system has been brought under proto-type Geoportal, it helps to systematically search, access, visualize and update soils and allied data.District Soil Information System developed for 50 districts and soils of Hassan district in GeoPDF formatare shown in figure 9.

     


     

    10.  GIS Modeling to Predict Land Productivity Potential (LPP) for Major Crops in Wardha District of Sub-Humid (Dry) Region, Eastern Maharashtra

     

                 The project aimed to assess terrain, climate, and soil resource databases to delineate and characterize Pedo-Ecological Units (PEU), delineate and characterize cropping systems using temporal satellite data and field information, in order to develop a suitable model in GIS environment to integrate the thematic parameters in mapping crop based Land Productivity Potential (LPP) and validate with randomly selected field observations of crop yields. During the reporting period, terrain information (elevation, slope and aspect) were incorporated to improve the accuracy of the land use land cover classification of IRS P6-LISS III data for Wardha district. Pedo-Ecological Units and major cropping systems of the district were derived using MODIS 16 days composite NDVI time series data for year 2010. Land capability classification of the district has been revised. Data mining algorithms were applied for machine learning of land capability classification through soil attributes. Pedo-ecological units of the Wardha district were delineated by integrating terrain parameters (slope and topographic wetness index), rainfall data, cropping system and soil parameters (AWC, erosion, soil depth, permeability, texture, and drainage) on 1:50 scale.

                  Six distinct pedo-ecological units were identified ranging from extremely poor to very good in crop production point of view. The very poor and poor PEUs are associated with moderately steep to steep slopes, shallow soil depth, excessive drainage and coarse texture soils. Whereas, the good and very good PEU’s are associated with nearly level to level slopes, deep to very deep soils, well drained and clayey texture soils. Land productivity potential for Soybean, Cotton and Wheat crops were generated based on integration of principle components of 4 years MODIS NDVI 16 days composites, Terrain parameters (slope, topographic wetness index), and soil attributes (soil depth, drainage, erosion, pH and texture) using weighted overlay analysis technique in GIS. Land productivity potentials of the crops were validated with the help of GPS based collected field data on productivity. Pedo-Ecological Units, major cropping systems, land productivity potential for soybean and cotton are shown in figure 10.

     


     

    11.  Assessment of spatio-temporal variability of major crops in different states of India for land use planning: A GIS based approach

     

                  This research project was undertaken to analyse the temporal changes in land use during the last sixty years and the trend of crop diversification that has taken place in Indian Agriculture. In the project an attempt has been made to analyse the extent of change in area under important major crops of India and to develop the spatial area database of major crops in GIS considering district as a unit. The salient findings of the study show that with the increasing population trend of India, the per capita availability of land, forests and arable lands were decreasing. The proportion of area under forests and other uncultivable land were almost consistent in respect to total reported area on different points of time. To feed the growing population, it is of paramount importance to bring the culturable waste land and fallow land under crop cultivation to boost agricultural production.

                With the modernization of agriculture and self-sufficiency in food production, the area shift that has taken place towards cereals in the immediate aftermath of Green Revolution, has started moving in the opposite direction, i.e. from cereals to non-cereals. Since the recent trend in inter-crop area shifts has its origin in the price and trade in inter-crop area shifts has its origin in the price and trade policy changes of the 1980’s they indicate the increasing market influence on the area allocation. The area under horticulture crops increased three times in last six decades. The agricultural land resources in the country have been shrinking, the per capita availability of arable land is expected to be less than 0.1 hectare during the next decade. Therefore, future increases in total production must accurred through the increase in per hectare productivity. This will necessitate the development of high yielding varieties, efficient management practices, enhanced cropping intensity and sustainable use of natural resources. The problems of future growth will thus be much more complex; hence, seeking a comprehensive solution must be based on interdisciplinary research and technology development. Spatio-temporal changes of rice and wheat cultivation in India during the year 1975-76 to 2009-10 are shown in figure 11.

     


     

    12.  Development of web based GIS system for real-time field data collection, transfer, storing and retrieval

     

                  The core objective of the project was to develop web based GIS system for real-time field data collection, transfer, storage and retrieval. In the project, the formats, protocols and GPS based field data collection devices have been developed to acquire, store, display and transmit georeferenced soil-site characteristics data including geo-tagged profile and site photographs taken during field visits. The system encompasses advanced mobile, wireless and Internet computing technologies that together facilitate the sharing of field data between the study site and remote locations in real-time. An android based field data collection system and applications have been developed for data entry, photograph collection, storage and transfer. Proformas have been developed in drop down to enter the field data for various parameters in order to minimize the human error.

                 The device having 5 mega pixel camera and inbuilt GPS removes the need of separate GPS and camera in the surveyors’ kit. The 32 GB storage capacity of the device can store the entries in absence of internet signal, which may be sent to the server. A separate web based system has also been developed for individual user and for administrators at different levels for monitoring and generation of report. Provisions for entry of laboratory data of soil physical and chemical properties have also been made to integrate database. Thus the developed system provides systematic data collection and real-time transfer to central server, less manual error, accurate GPS location with altitude and Date & Time from Satellite, geo-tagged photographs, three level data security, instant generation of report, live monitoring of work progress from anywhere and centralized data repository. The developed web based GPS based real-time field data collection device and applications have immense help in field data collection, transfer, storing and retrieval in systematic way. Developed GPS based field data collection device and its application are shown in figure 12.

     


     

    13.  Land resource inventory for integrated agriculture planning of Miniwada Panchayat, Katol tehsil, Nagpur using    high resolution satellite data and GIS

     

              The study was aimed to inventorize and characterize land resources to assess spatio-temporal cropland dynamics, design and develop geo-spatial database and to integrate the biophysical and socio-economic parameters for suitability of crops at village level using high resolution satellite data LISS-IV and Cartosat-1DEM considering biophysical and socio-economic parameters as a base.

                 Seamless DEM of 10 m resolution was generated from seven Cartosat-1 stereo pairs using Intergraph LPS. Ortho-rectified images of Cartosat-1 were also generated. The Resourcesat-2 LISS IV images and ortho-rectified Cartosat-1 data were fused to get PAN sharpened data for the panchayat. Base maps were generated with DEM (10 m) extracted from Cartosat-1 stereo pairs and Resourcesat-2 LISS IV images. Manual and automated landforms for Miniwada panchayat were delineated from the Cartosat DEM (10 m) and LISS IV images. Base maps were finalized and preliminary survey of the panchayat was carried out. GPS based points on landscape, landforms, slope and land use/land cover covering different landforms were collected in the panchayat to validate the landforms. Land resource inventory for the three villages in Miniwada Panchayat has been carried out from 22 February to 7 March, 2014. Landform-soil units were identified while traversing the area. 249 surface soil samples at 250m grid interval have been studied and collected for analysis. Total 60 profiles have been studied and soil samples were collected in the study area covering 1621 ha. A total of 23 phases have been identified, seven phases in Mw-1, four phases in Mw-2, two phases in Mw-3, four phases in Mw-4, two phases in Mw-5 and four phases in Mw-6. Resourcesat 2 LISS IV, Cartosat DEM (10m), Grid points, Landforms, physiography-landform units and soilsof Miniwada Panchayat, Katol tehsil, Nagpur district are shown in figure 13.

     


     

    14.  Development of digital terrain database and landform mapping at Tehsil/Block level in different agro-ecological sub-regions of Central India using Geospatial techniques

     

                The project was planned to develop digital terrain database and landform mapping for nine blocks in different agro-ecological sub-regions of central India using geospatial techniques. IRS-P6 P6 LISS-IV (5.8 m) satellite data and SRTM DEM (30 m) digital terrain database has been generated for the selected nine blocks namely Darwha, Rahuri and Parbhani in Maharashtra, Bemetara and Jagdalpur in Chhattisgarh, Dhanora, Raisen, Tikamgarh and Jagdalpur in Madhaya Pradesh states. Slope analysis has been carried out using SRTM-DEM (30m) for all the selected blocks. The detail land use/land cover analysis has been carried out using IRS-P6 P6 LISS-IVdata for the selected blocks. Landform analysis was carried out based on the visual interpretation of high-resolution IRS-P6 P6 LISS-IV data in conjunction with DEM. Digital terrain analysis and landform mapping has been carried for selected nine blocks. The landforms have been further sub-divided as landscape ecological units based on slope and land use/land cover data.

                 The analysis shows that elevendistinct landforms and 47 LEU’s have been identified in Jagdalpur block of Jagdalpur district, Chhattisgarh. Ninedistinct landforms and 53 LEU’s have been identified in Tikamgarh block, Tikamgarh district, Madhya Pradesh. Thirteendistinct landforms and 48LEU’s have been identified in Parbhani block, Parbhani district, Maharashtra.  Ninedistinct landforms and 54 LEU’s have been identified in Rahuri block, Ahmednagar district, Maharashtra. Tendistinct landforms and 63 LEU’s have been identified in Raisen block, Raisen district, Madhya Pradesh. Tendistinct landforms and 42 LEU’s have been identified in Bemetra block, Durg district, Chhattisgarh.  Tendistinct landforms and 42 LEU’s have been identified in Bemetra block, Durg district, Chhattisgarh Datia block, Datia district, Madhya Pradesh. Ninedistinct landforms and 47 LEU’s have been identified in Datia block, Datia district, Madhya Pradesh. Eightdistinct landforms and 80 LEU’s have been identified in Darwha block, Yavatmal district, Maharashtra. Tendistinct landforms and 63 LEU’s have been identified in Dhanora block, Seoni district, Madhya Pradesh. Ninedistinct landforms and 53 LEU’s have been identified in Tikamgargh block, Madhaya Pardesh. IRS-P6 LISS-IV data, SRTM DEM 30m and LEU’s of Parbhani block is shown figure 14.

     


     

    Design and Development of Land Resource Information System and NBSS Geoportal for Geospatial Database Management and Dissemination

     

                The project was aimed to design and development of land resource information system of India and NBSS Geoportal for geospatial database management and dissemination. In the project, the necessary software and hardware application server infrastructure for Geoportal development has been created. The user interface of NBSS Geo-portal (BHOOMI) has been redesigned and developed to visualize various thematic layers and services. The schema for various vector, raster and point database has been standardized to deploy various soil attribute database. The point layer data on selected benchmark soil information of India, soil series data for selected states and districts, Grid point data for 752 sites collected under NATP project on soil physical and chemical properties database, nutrient database for north-eastern states, soil fertility status in rubber growing areas of Kerala has been processed and deployed in BHOOMI Geoportal. Major physiographic units of India, sub physiographic units of India, Agro ecological regions of India (2015), Agro ecological sub regions of India, Agro ecological units of Kerala, Soil loss of India, various soil based thematic layers on 1:1m scale, degraded and wastelands of India, soil loss thematic layer of India, soil based thematic layers for 20 districts on 1:50,000 scale, various terrain and soil based thematic layers at block level for 30 blocks have been processed and deployed in BHOOMI Geoportal.

                 Data services were systematically catalogued according to a metadata standards and schema designated for Geoportal. Soils data on 1:1m and 1:250,000 scale soil loss, degraded and wastelands data, AWiFs data (58m), IRS-P6 LISS-III (23.5m), satellite data, SRTM (90m), ASTER (30m), GDEM, were deployed. Using application server tools, the Geoportal with Web Map Services (WMS), Web Catalogue Services (WCS), interface tools and minimum Geoportal functionalities have been developed.Under land use planning section, major Crop growing areas, crop core growing areas, land management units, crop base land management units, area and spread for 17 crops at state level, land degradation status in irrigated and rainfed areas and SRTM DEM (30m) for India has been processed and deployed in BHOOMI Geoportal. Agro-ecological regions, agro-ecological sub-regions, and soil depth status of India on 1:1m scale are shown in figure 15.

     


     

    Completed Externally Funded projects

     

    15.  Development of soil reflectance methods and low-cost sensors for variable rate inputs in precision farming (NAIP-Component 4)

     

               The NAIP supported project was undertaken in collaboration with PAU, Ludhiana, CSSRI, Karnal and PRS, Ludhiana to study the relationship between soil characteristics of the Indo-Gangetic Plains and laboratory measured soil reflectance data between 350- 2500 nm and to develop spectral models for prediction of soil properties from soil reflectance data. A total of 4745 surface soil samples were collected fromfour districts viz. Gurdaspur, Bhatinda, Moga and Ludhiana of Punjab state representing normal soils and three districts viz. Sonipat, Rohtak and Panipat of Haryana representing salt-affected soils during 2009 to 2011 after harvesting of rice and wheat crops. Soil clusters of Punjab, in general, had loamy sand through silty clay loam to clay texture, neutral to slightly alkaline in reaction, were non-saline (EC <1.5 dSm-1) with low organic carbon (<0.5%), low to medium available K and high to very high available P.  On the contrary, the soil clusters of Haryana had very low to medium organic carbon (0.02 to 0.8%), and were mostly salt-affected with electrical conductivity (ECe) of soils varying from 0.16 to 177 dSm-1.

              The visible near-infrared (VNIR) spectral reflectance characteristics of soils were studied under laboratory conditionsbetween 350-2500 nm using ASD spectroradiometer. The reflectance spectra of soils, in general, showed prominentabsorption features around 1400, 1900 and 2200 nm. Calibrations of soil reflectance data with organic carbon (SOC) and available K of Punjab soils and different soil salinity parameters of Haryanawere performed using partial least square regression analysis. The application of calibration model on validation datasets (Fig. 16) resulted in very good prediction of soil organic carbon (r2= 0.81, RMSEP=0.116, RPD=2.30) and available K (r2=0.78, RMSEP=0.243, RPD=2.13), ECe (r2=0.94, RMSE=5.33, RPD=3.99), saturation extract Ca2++Mg2+ (r2=0.81, RMSE=1.51, RPD=2.40), saturation extract Na+ (r2=0.88, RMSE=2.45, RPD=2.89), saturation extract Cl- (r2= 0.92, RMSE= 2.16, RPD=3.44), saturation extract SO42- (r2= 0.67, RMSE= 2.21, RPD=1.60) and CaCO3 (r2= 0.66, RMSE= 0.79, RPD=1.72).From this study, it can be concluded that VNIR spectroscopy can be used with reliable accuracy for rapid prediction of SOC, available K, and soil salinity parameters viz.ECe, saturated extract Na+, Ca2+ + Mg2+ and Cl- in the soils of the Indo-Gangetic Plains of Punjab and Haryana. The hyperspectral models developed could assist in real-time monitoring of soil organic carbon and salinity parameters in the IGP region for sustainable management.

     


     

    16.   Mapping and assessment of land degradation in major ecosystems of India using geospatial technologies(ICAR  funded extramural project)

     

                 In this project, ten blocks namely Fatehgarh (Jaiselmer) and Bukkarayyasamudram (Anantapur) in arid ecosystem, Jagner (Agra) and Kangeyam (Tirupur) in semi-arid ecosystem, Nagrota Bagwan and Dhanpatganj (Sultanpur) in humid ecosystem, Mangan (East Sikkim) and Umsning (Ri-bhoi) in per-humid ecosystem and Ganjam and Tiswadi (North Goa) in Coastal ecosystem were selected with the objectives to develop a robust methodology for mapping and assessment of kind and severity of land degradation at 1:10K using high resolution temporal satellite data, legacy and field survey data, developed LDI and LDIS in GIS for the selected blocks. The temporal satellite of Landsat ETM+, OLI and Sentinel 2 for kharif, rabi & zaid seasons for the year 2000-01 and 2015-16 were used for mapping and assessment of land degradation. SRTM DEM (30m) data has been used to derive various terrain parameters at block level. The temporal satellite has been analyzed to develop landforms maps for Fatehgarh (Rajasthan) and Dhanpatganj (UP), blocks and they were used to conduct soil survey under LRI on 1:10K to assess land degradation. 

                 The methodology was developed for mapping and assessment of type and severity of land degradation at 1:10K in selected blocks of major ecosystems using high resolution temporal satellite data, legacy and field survey data. The legend schema for major land degradation categories and sub-classes have been developed to map and assess the land degradation at block level. Revised Universal Soil Loss Equation (RUSLE) has been used to compute the soil loss at block level. R-factor has been computed using thirty years rainfall data for the selected blocks. The soil survey data collected under LRI project has been used to compute the K-factor in GIS. SRTM DEM (30m) data has been used to compute LS-factor. Using Landsat-8 (OLI) data land use systems information has been for the year 2015-16 for selected blocks and C & P factors have been computed using the land use systems, slope and conservation practices. Soil loss has been assessed for the selected blocks using RUSLE in GIS. The land degradation in Fatehgarh (Jaiselmer) has been assessed using the interpretation of temporal satellite data. Field survey and verification has been completed in the blocks and collected GPS based information on terrain, landforms and land use systems, land degradation processes and necessary field photographs to assess and validate various land degradation processes at block level. By integrating soil loss, acidic soils, salt affected soils and other degradation categories, the land degradation status for selected blocks has been generated. The LDI and LDIS in GIS have been developed for the selected blocks. Landsat ETM+ PAN fused 15m data, R,K, LS and C-factors andsoil loss map of Umsining block (Ri-bhoi district) in per-humid ecosystem of Meghalaya state are shown in figure 17.

     


     

     

    17.   Capacity Building in the Area of Remote Sensing & GIS Applications in Natural Resources Management (ISRO and NBSS&LUP Collaborative programme)

     

                This collaborative project of ISRO (NNRMS) and NBSS&LUP was taken up on ‘Capacity Building in the Area of RS & GIS Applications in Natural Resources Management’ with the objectives of capacity building in the advanced fields of RS&GIS applications in natural resources management as a joint effort of NBSS&LUP and ISRO. It was also aimed to up-scalethe skills of manpower to cater to the needs of national, regional and district level developmental agencies.In this project, it was envisaged to impart practical knowledge in the fields of remote sensing and GIS. The trained personnel would be able to use thesestate-of-the-art technologiesin their operatedfields at local level. The technological expertise imparted to different client of state and other agencies. This wouldhelp to contribute to the national level developmental planning. Personnels undergoing this training will get an exposure on the potentialsof remote sensing and & GIS applications in natural resource management at their respective institutes.In this project conducted7 training programmes (Table 1) of 21 days duration each during 2012-2013 & 2013-2014. 153 participants from ICAR, SAU’s, State Departments and KVK’s were trained at NBSS&LUP Hqrts and at its Regional Centres during 2012-14.

     


     

    18.   Strengthening of Digital Library and Information Management under NARS (e-Granth) NAIP (C-I)

     

                  In this project, 217 records of collection of old rare books, old journals, reports and various documents were digitized. Records of 6500 books, 3200 journals, 100 theses and 170 NBSS&LUP publications were converted. Data was exported from SOUL software in excel format. Nearly record of 6500 books, 3200 journals, 100 theses and 170 NBSS&LUP publications were converted from excel to MARC 21. In addition to acquisition of conventional literature like books, scientific/technical journals, an effort was made to trace and acquire all non-conventional literatures such as annual reports, soil survey reports and agricultural statistical data pertaining to all states. Koha has been successfully implemented in NBSS&LUP Library. Union catalogue was prepared for each centre of NBSS&LUP to obtain the information on a common platform. Manually all records of documents available in the library were checked. ISBN of all books were entered in the excel format.

                Open-source software, Koha: Integrated Library Management System was successfully installed. Koha was installed on Debian Wheezy 7.1 operating system. It has been successfully implemented in NBSS&LUP Library. All records of books and journals were imported into Koha software. It provides a full-functioned Online Public Access Catalog (OPAC). Koha is open-source software and fully featured, scalable library management system. Koha web-based Integrated Library Management System includes modules for Acquisitions, Cataloguing, Circulation, Serials control, Patron management, Online Public Access Catalogue (OPAC) and more. Koha has been successfully implemented at NBSS&LUP Library.

     

    Research Projects

     

     

    Ongoing Prtojects

     

    Institutional Projects

    •   Land resource inventory of Dhanora block, Seoni district, Madhya Pradesh
    •   Soil erosion assessment and conservation planning using remote sensing and GIS of Dhanora block, Seoni district, M.P.
    •   Revision of Agro-Ecological Regions Map of India and the development of agro-ecological information system
    •   Landform mapping and characterization in selected aspirational districts of semi-arid tropics of India using geospatial techniques
    •   Enrichment of BHOOMI Geoportal platform and development of thematic services for application in agricultural land use planning.
    •   Automated landform delineation of desert ecosystem of India.
    •   Assessment of land degradation and prime agricultural land in the country using MODIS time series NDVI and legacy data

     

    Externally Funded Projects

    •   Hyperspectral Remote Sensing in Characterization and Mapping of Red and Associated Soils of Southern India (DST Funded)
    •   ICAR Research Data Repository for Knowledge Management(KRISHI)(ICAR Funded)
    •   Development of digital terrain and land use dynamics geodatabase on 1:10k scale for land resource inventory of cultivated and fallow land use systems of Goa.
    •   Characterization and Mapping of Land Resources of Goa in reference to Cultivated and Fallow land use systems - a step towards enhancing Agricultural Productivity.
    •   National Spatial Data Infrastructure – Soil Resource Database (NSDI, DST sponsored)

     

    Inter-Institutional Projects

    • Delineation of potential areas for Pomegranate Cultivation in India using Remote sensing and GIS Techniques
    • Delineation of potential areas for oil palm cultivation in India using remote sensing and GIS techniques
    Capacity Building
     
     

     Agricultural Knowledge Management Unit (AKMU)

    The main activities of Agricultural Knowledge Management Unit (AKMU) of NBSS&LUP are maintenance and providing the Internet and Email services, maintenance of Institute Website and Video Conferencing Systems and other computer related works including LAN and systems management in the Institute. AKMU activities also include periodical updation of Institute Website and Personnel Management Information System Network (PERMISnet).

     

     

     

     

    Conference/Seminar/Symposia/Workshops/Training Organized

     

    1.    G.P. Obi Reddy as Coordintaor organized one day virtual Meeting of Experts on “ICAR-KRISHI Geoportal Spatial Data Infrastructure and Applications–Way forward" organised by ICAR-NBSS&LUP, Nagpur on 2nd June, 2020.

    2.    G.P. Obi Reddy as Coordintaor organized Workshop on “ICAR-KRISHI Geoportal-Challenges and the Way forward” at ICAR-NBSS&LUP, Nagpur during January 9-10, 2020.

    3.    G.P. Obi Reddy as Coordintaor organized 2-day User’s Training Workshop on “ICAR KRISHI Geoportal – A Digital Platform for Sustainable Agriculture” during March 7-8, 2019 at ICAR-NBSS&LUP, Nagpur.

    4.   G.P. Obi Reddy asCourse Director, organized Directorate of Extension (DOE), MoA&FW, GoI, New Delhi sponsored Model Training Course on “Advance Geospatial Technologies in Natural Resource Management in Changing Climate Scenario”during 5 to 12th October, 2018.

    5.    G.P. Obi Reddy as Course Director, organized ICAR sponsored Short Course on “Advance Remote Sensing, GIS and Spatial Modeling in Land Resource Mapping and Management”organized during 1st to 10th August, 2018 at ICAR-NBSS&LUP, Nagpur.

    6.    G.P. Obi Reddy as Course Director, organized “Remote Sensing and GIS in Watershed Planning and Management” held during 1st-30th June, 2018 at ICAR-NBSS&LUP, Nagpur.

    7.    G.P. Obi Reddy as Coordintaor organized 2-day User’s Training Workshop on“Geospatial Applications in Data Enrichment of ICAR KRISHI Geoportal”during March 27-28, 2018 at ICAR-NBSS&LUP, Nagpur.

    8.    G.P. Obi Reddy as Coordintaor organized one day GIS day on 14th November, 2017at ICAR-NBSS&LUP, Nagpur.

    9.   G.P. Obi Reddy as Course Director, organized ICAR Sponsored training Programme on “Advanced Remote Sensing and GIS Applications in Integrated Land Resource Management” held during 17-29th July, 2017 at ICAR-NBSS&LUP, Nagpur.

    10.   G.P. Obi Reddy organized One day NSDI (DST) Sponsored National Workshop on “Data Content Standard-Soils at NBSS&LUP, Nagpur on March 13, 2017

    11.   G.P. Obi Reddy organized Workshop on ‘ICAR KRISHI Geoportal-Experts” on March 27, 2017 at NBSS&LUP, Nagpur.

    12.   G.P. Obi Reddy organized one day Review Workshop on ‘Mapping and Assessment of Land Degradation in Major Ecosystems of India Using Geospatial Technologies’ under ICAR funded extramural project at ICAR-NBSS&LUP, Nagpur on 18th March, 2017.

    13.  G.P. Obi Reddy as Organizing Secretary organized International Conference on “Integrated Land Use Planning for Smart Agriculture-An Agenda for Sustainable Land Management (ICILUPSA-2016)”at NBSS&LUP, Nagpur during 10-13, November, 2016.

    14.   G.P. Obi Reddy as Coordinator organized Workshop on ‘ICAR KRISHI Geoportal-Experts” during March 11-12, 2016.

    15.   G.P. Obi Reddy as Coordinator organized 3 days “User’s Training Workshop on ‘ICAR KRISHI Geoportal” during March 28-30, 2016.

    16.  G.P. Obi Reddy as Course Director, organized NRDMS (DST) Sponsored Training Programme on “Geospatial Technologies in Mapping, Monitoring and Management of Natural Resources” from 5th to 25th August, 2015 at NBSS&LUP, Nagpur.

    17.  G.P. Obi Reddy asOrganizing Secretary, organized three days National Seminar on “Sustainable Management of Land Resources for Livelihood Security” during January, 28-30, 2015 at NBSS&LUP, Nagpur.

    18.   G.P. Obi Reddy organized one day NSDI National Workshop on “Data Content Standards-A Road map Ahead” at NSDI, New Delhi on 16th April, 2014.

    19.   G.P. Obi Reddy as Coordinator Organized National Natural Resource Management System (NNRMS), ISRO sponsored National level 21-day training programme on “Remote Sensing and GIS Applications in Natural Resource Management” from February 12 to March 4, 2013.

    20.   G.P. Obi Reddy as Coordinator organized 2 days National Workshop on “Library automation using KOHA software” under sub-project on “Strengthening of Digital Library and Information Management under NARS (e-Granth)” Component-1 of NAIP on 24th and 25th January, 2014.

    21.  G.P. Obi Reddy as Course Director organized 21 days NNRMS (ISRO) sponsored training programme on “Remote Sensing and GIS applications in Natural Resource Management” was organized at GIS Section, NBSS&LUP, Nagpur during 12th November to 2nd December, 2013.

    22.  G.P. Obi Reddy as Course Coordinator organisd one-week in-house training programme on “Advance GIS applications in Spatial Database Management for Natural Resources” was organized at GIS Section, NBSS&LUP, Nagpur from 2nd to 7th September, 2013.

     

    Training Acquired

     

    1.      Dr. S. Chattaraj, Scientist successfully completed two weeks training on “Microwave Remote Sensing Applications” held at NRSC, Hyderabad from 20-31st May, 2013.

    2.     Mr. V.N. Parhad, Senior Technical Officer and Mr. D.S. Mohekar, Technical Officer acquired training on “Advanced GIS Training on Spatial Database Management for Natural Resources” from 2nd to 7th September, 2013 organized by GIS Section, NBSS & LUP, Amravati Road, Nagpur.

    3.      Mr. Sunil Meshram attended NKN Workshop at IIT, Guwahati, Assam during 15-17th Dec, 2014.

    4.     Dr. M.S.S. Nagaraju attended one day training programme on “Intellectual Property Management” organized by Rajiv Gandhi National Institute for Intellectual property Management (RGNIIPM) under the Ministry of Commerce and Industry, Nagpur on 24th September, 2015.

    5.     Dr. Nisha Sahu attended two days workshop on ICAR Krishi Geoportal-Experts Knowledge based resources information systems hub for innovations in agriculture on 11-12th March, 2016.

    6.    Dr. Nisha Sahu attended eight days Model Training Course on “Land Use Planning for Arresting Land Degradation, Climate Change and Ensuring Food Security” sponsored by Department of Agriculture & Cooperation (Govt. of India) held on ICAR- National Bureau of Soil Survey & Land Use Planning, Nagpur from 19th to 26th November, 2015.

    7.    Dr. Nisha Sahu attended one day training programme on “Intellectual Property Management” organized by Rajiv Gandhi National Institute for Intellectual property Management (RGNIIPM) under the Ministry of Commerce and Industry, Nagpur on 24th September, 2015.

    8.     Dr. Rajeev Srivastava attended Training & Workshop for Network program on “Imaging Spectroscopy and Applications (NISA-2016)” funded by DST, Government of India, organized by Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi, during December 20-24, 2016.

    9.     Dr. M.S.S. Nagaraju attended Training & Workshop for Network program on “Imaging Spectroscopy and Applications (NISA-2016)” funded by Department of Science & Technology, Government of India, organized by Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi, during December 20-24, 2016.

    10.    Mr. Roshan Wakode and Mr. Shivanand (JRF) attended Training & Workshop for Network program on “Imaging Spectroscopy and Applications (NISA-2016)” funded by Department of Science & Technology, Government of India, organized by Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi, during December 20-24, 2016.

    Collaborations / Linkages
     

     

    •    ICAR-Indian Agricultural Research Institute (IARI), New Delhi
    •    ICAR-Indian Institute of Soil Science (IISS), Bhopal
    •    ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad
    •    ICAR Research Complex NEH Region, Barapani
    •    ICAR-National Institute of Abiotic Stress Management (NIASM), Baramati
    •    Punjab Agricultural University, Ludhiana
    •    ICAR-Central Soil Salinity Research Institute, Karnal
    •    Punjab Remote Sensing Centre, Ludhiana
    •    Regional Remote Sensing Centre (RRSC), Nagpur
    •    Regional Centres of NBSS&LUP
    •    ICAR-Indian Agricultural Statistical Research Institute (IASRI), New Delhi
    •    ICAR-National Acedamy of Agricultural Research Management (NAARM), Hyderabad
    •    ICAR-National Reaserch Centre for Pomogranate (NRCP), Solapur
    •    ICAR- Indian Institute of Oil Palm Reaserch (IIOPR), Pedavegi (AP)
    •    ICAR-National Institute of Biotic Stress Management (NIBSM), Raipur
    •    ISRO-National Remote Sensing Centre (NRSC), Hyderabad
    •    DST-National Spatial Data Infrastrcture  (NSDI)
    •    ISRO-National Natural Resource Management System (NNRMS)
    Future Thrust Areas
     

    •   Remote sensing and GIS applications in characterization and mapping of landforms, land use/land cover and soil resources.

    •   Strenthening hyperspectral soil reflectance library and modeling hyperspectral data for soil attributes prediction and digital mapping of soil properties

    •   Application of Geospatial technologies in assessment and monitoring of land degradation/problematic areas/drought at different scales. 

    •   Enrichment of NBSS BHOOMI Geoportal and develeopment of application services for quick dessimination of soil informations to different users

    •   Provide scientific inputs and support to Divisions and Centres of NBSS&LUP in remote sensing and GIS applications

    •   Capacity building on geospatial technologies in NARS for land resource management

    •   Development of collaborations on geospatial technologies applications in land resource management with national and international institutes
    Major Publications (Research papers/Reports/Technical Bulletins)
     

    Research Papers

    International Journals

    1. Saxena, R.K., Barthwal, A.K., Verma, K.S. and Sehgal, J.L. (1994). The role of landscape ecology in land degradation assessment. Asian-Pacific Remote Sensing J., 7:9-16.
    2. Verma, K.S., Saxena, R.K., Barthwal, A.K. and Deshmukh, S.N. (1994. Remote sensing technique for mapping salt-affected soils. Inter. J. Remote Sensing, 15:1901-1914.
    3. Saxena, R.K. and Verma, K.S. (1995). Use of remote sensing techniques at block level to characterise and delineate salt affected and sandy soils. Asia Pacific Remote Sensing Journal, 8:115-122.
    4. Jagdish Prasad; Srivastava, Rajeev and Chandran, P. (1998). Problems in classification of some Black cotton soils of India. Soil Survey Horizons 39(1): 23-26.
    5. Verma, K.S., Saxena, R.K., Hajare, T.N. and Ramesh Kumar, S.C. (1998). Gram yield estimation through SVI under variable soil and management conditions. Inter. J. Remote Sensing, 19:2469-2476.
    6. Saxena, R.K., Verma, K.S., Chary, G.R., Srivastava, Rajeev and Barthwal, A.K. (2000). IRS-1C data application in watershed characterization and management. Inter. J. Remote Sensing, 17:3197-3208.
    7. Verma, K.S., Saxena, R.K., Hajare, T.N., Kharche, V.K. and Ananta Kumari, P. (2002). Spectral response of Gram varieties under variable soil condition. Inter. J. Remote Sensing, 23:313-324.
    8. Saxena, R.K.; Verma, K.S.; Chary, G.R.; Srivastava, Rajeev and Barthwal, A.K (2000). IRS- 1C data applications in watershed characterization and management. Inter. J. of Remote Sensing 21(17): 3197-3208.
    9. Srivastava, Rajeev and Saxena, R.K. (2004). Technique of large-scale soil mapping in basaltic terrain using satellite remote sensing data. Inter. J. of Remote Sensing 25 (4):679-688.
    10. Jagdish Prasad and Srivastava, Rajeev (2010) Occurrence of Red Vertisols in Central India. Soil Survey Horizons 51:24-25.

    National Journals

    1. Verma, K.S.,Shyampura, R.L., and Jain, S.P. (1990) Characterization of soil under forest of Kashmir valley. J. Indian Soc. Soil Sci., 38:107-115.
    2. Srivastava, Rajeev; Bhattacharyya, Tapas; Prasad, Jagdish; and Nair, K.M. (1990) The Leptovertic Sub group : A proposed amendment to Soil Taxonomy. J. Indian Soc. Soil Sci. 38 : 177-179.
    3. Srivastava, Rajeev; Prakash, O. and Sharma, A.K. (1991) Influence of Soil and Management on growth and Yield of wheat in foot-hill region of Uttar Pradesh. J. Indian Soc. Soil Sci. 39: 374.
    4. Saxena, R.K., Verma, K.S. and Barthwal, A.K. (1991). Assessment of land degradation hazards, Etah district, Uttar Pradesh, using landsat data. Photonirvachak 19:83-94.
    5. Sohan Lal, Saxena, R.K. and Hirekerur, L.R. (1991). Soils of India - their problems and productivity. Soil Water Conserv. India, 35:162-177.
    6. Srivastava, Rajeev; Prasad, J. and Tamgadge, D.B. (1991) Soil-physiography relationships in Ujjain district of Madhya Pradesh for land Use Planning. The National Geographical Journal of India.37: 246-252.
    7. Srivastava, Rajeev; Gaikwad, S.T. and Jagat Ram (1991) Characteristics and classification of some forest soils of Chandrapur district, Maharashtra. Van Vigyan. 29(4):234-238.
    8. Saxena, R.K. (1992). Characterization and classification of soils of Ghaggar plains of Patiala, Punjab. Agropedology, 2:81-91.
    9. Srivastava, Rajeev; Prakash, O. and Manglik, V.P. (1992) Joint effects of maximum temperatures and rainfall on rice yield in foot-hill region of Uttar Pradesh. Naren¬dra Dev J. Agric. Res. 6(2): 243-249.
    10. Srivastava, Rajeev (1992) Soils of Buldhana district of Maharashtra for land use planning. Geographical Rev. of India. 54: 37-43.
    11. Srivastava, Rajeev and Jagdish Prasad (1992) Rationale in the taxonomic classification of some swell-shrink soils of semiarid tropics in India. J. Indian Soc. Soil Sci. 40:600 -602.
    12. Prasad, Jagdish and Srivastava, Rajeev (1993) Physiography soil relationship in Dewas district of Madhya Pradesh for land use planning. Indian J. Landsc. Syst. Ecol. studies. 16 (2): 61- 65.
    13. Raj Kumar, Sidhu, G.S., Deshmukh, S.N. and Saxena, R.K. (1994). Formation, classification and potential productivity of soils of subtropical Bundelkhand region, India. Indian J. Agril. Chem., 95-103.
    14. Bhattacharyya, T., Srivastava, R., Sharma, J.P. and Sehgal, J.L. (1994) Classification of saline-sodic Vertisols in the coastal plains of Gujarat. J. Indian Soc. Soil Sci. 42: 306-309.
    15. Satyavathi, P.L.A; Sharma, J.P. and Srivastava, R. (1994). Contribution of Soil Organic Matter, Clay and Silt to the Cation exchange capacity of Soil J. Indian Soc. Soil Sci. 42:14-17.
    16. Srivastava, R., Sarkar, Dipak, Thampi, C.J. and Haldar, A.K. (1994). Evaluation of Soil Site Suitability for Rice in Barddhaman district of West Bengal. J. Indian Soc. Soil Sci. 42:665-668
    17. Nayak, D.C. and Srivastava, R. (1995). Soils of shifting cultivated area in Arunachal Pradesh and their suitabil¬ity for land use planning. J. Indian Soc. Soil Sci. 43(2): 246-251.
    18. Prasad, J., Satyavathi, P.L.A., Srivastava, R. and Nair, K.M. (1995). Characterization of soils of Nashik dis¬trict, Maharashtra. Agropedology, 5:25-28.
    19. Sarkar, D., Khandare, N.C., Srivastava, R. and Goswami, A. (1995). Some dominant soils of Koraput district, Orissa - their characteristics, constraints and management needs. Indian J. Landsc. Syst. Ecol. Stud. 18 (2): 158- 164
    20. Srivastava, Rajeev, Chatterji, S., Sarkar, Dipak and Nayak, D.C. (1995). Numerical taxonomy of some rice growing soils of Bankura district of West Bengal. J. Indian Soc. Soil Sci. 43:302-304.
    21. Bhaskar, B.P., Ravindra Chari, G. and Nagaraju, M.S.S. (1995) Agro-geographic characteristics of Adilabad district, Andhra Pradesh. Indian Journal of Landscape System and Ecological Studies. 18(1): 72-77.
    22. Nagaraju, M.S.S., Chary,G.R. and Bhaskar, B.P.(1996) Crop concentration and diversification in the cotton zone of Adilabad district, Andhra Pradesh. Indian J. Landscape Systems & Ecological Studies, 19:104-111.
    23. Saxena R.K., Harindranath C.S., Verma K.S. and Barthwal A.K. (1997) Role of soilscape in the management of wastelands.Indian J. Soil Conserv., 25:18-23.
    24. Bhattacharyya, T., Sarkar, D., Gangopadhyay, S.K., Dubey, P.N., Baruah, U., Chamuah, G.S., Mukhopadhyay, S., Nayak, D.C., Maji, A.K., Saxena, R.K., Barthwal, A.K., Krishna, N.D.R., Mandal, C., Sehgal, J., Bhowmick, K.R., Sinha, K., Chakraborty, S., Nandi Mazumdar, S., Pal, P.K., Krishna Kumar, A.K. and Sethuraj, M.R. (1998). Soils of Tripura-I. Characterization and Classification. Agropedology, 8:47-54.
    25. Bhattacharyya, T., Sarkar, D., Gangopadhyay, S.K., Dubey, P.N., Baruah, U., Chamuah, G.S., Mukhopadhyay, S., Nayak, D.C., Maji, A.K., Saxena, R.K., Barthwal, A.K., Krishna, N.D.R., Mandal, C., Sehgal, J., Bhowmick, K.R., Sinha, K., Chakraborty, S., Nandi Mazumdar, S., Pal, P.K., Krishna Kumar, A.K. and Sethuraj, M.R. (1998). Soils of Tripura-II. Suitability for Rubber. Agropedology, 8:55-60.
    26. Srivastava, R., Gaikawad, S.T. and Jagat Ram (1998). Water retention characteristics of some swell-shrink soils of Chandrapur district of Maharashtra. Agropedology 8 (1): 15-18.
    27. Bhaskar, B.P. and Nagaraju, M.S.S. (1998) Characterization of some salt affected soils occurring in the Chitravathi river basin of Andhra Pradesh Journal of the Indian Society of Soil Science. 46(3): 416-421.
    28. Chaturvedi, A., and Barthwal, A.K. (1999). Land cover mapping of Chindwara district using remote sensing techniques. Ann. NAGI, 19:118-125.
    29. Saxena, R.K., Verma, K.S. and Kharche, V.K. (1999). Organic carbon stock in soils of Patiala district of the Indo-Gangetic alluvial plain. Agropedology, 9:131-142.
    30. Nagaraju, M.S.S. and Singa Rao, M. (2000) Effect of different plant population densities of groundnut on soil structure and other physical properties of an Inceptisol. Journal of the Indian Society of Soil Science 48(1):174-177.
    31. Bhaskar, B. P., Nagaraju, M.S.S., Ravindra Chary, G., Reddy, R.S., Raghumohan, N.G. and Gajbhiye, K.S. Evaluation of production efficiency of cotton zone and rational land use in Adilabad district, Andhra Pradesh. Agropedology (2000), 10: 44-52. 2000.
    32. Prasad, Jagdish; Nagaraju, M.S.S.; Srivastava, Rajeev; Ray, S.K. and Chandran, P. (2001). Characteristics and classification of some orange growing soils in Nagpur district of Maharashtra. J. Indian Soc. Soil Sci. 49(4): 735-739.
    33. Chaturvedi Arun and Thayalan, S. 2003. Eroded/degraded lands of north Deccan plateau and their utilization. Ann. Natl. Association of Geogr. India, XXIII(1):58-66.
    34. Saxena, R.K. (2003). Applications of remote sensing in soils and agriculture. J. Indian Soc. Soil Sci., 51: 431-447.
    35. Saxena, R.K.; Verma, K.S.; Srivastava, Rajeev, Yadav, Janardan; Patel, N.K.; Nasre, R.A.; Barthwal, A.K.; Shiwalkar, A.A. and Londhe, S.L. (2003). Spectral reflectance properties of some dominant soils occurring on different altitudinal zones in Uttaranchal Himalayas Agropedology 13(2):35-43.
    36. Potdar, S.S., Srivastava, Rajeev, Nagaraju, M.S.S.; Jagdish Prasad and Saxena, R.K. (2003). Mapping of erosional soil loss in Nanda-Khairi watershed of Nagpur district of Maharashtra using remotely sensed data and GIS techniques. Agropedology 13(2):10-18.
    37. Saxena, R.K. (2003). Applications of remote sensing in soils and agriculture. J. Indian Soc. Soil Sci., 51 (4): 431-447.
    38. Srivastava, Rajeev; Jagdish Prasad and Saxena, R.K. (2004). Spectral reflectance properties of some shrink-swell soils of Central India as influenced by soil properties. Agropedology 14 (1): 45- 54.
    39. Bhaskar, B.P., Saxena, R.K., Vadivelu, S., Baruah, U., Butte, P.S. and Dutta, D.P. (2004). Pedogenesis in high altitude soils of Meghalaya Plateau. Agropedology, 14(1):9-23.
    40. Bhaskar, B.P., Saxena, R.K., Vadivelu, S., Baruah, U., Butte, P.S. and Dutta, D.P. (2004). Pedogenesis in high altitude soils of Meghalaya plateau, Agropedology 14(1): 9-23.
    41. Chaturvedi Arun & S. Thayalan. (2004). Eroded/degraded lands of North Deccan Plateau and their Utilisation- A case study. Annals of National Association of Geographers, India. XXIII(1): 58-66.
    42. Solanke, P., Srivastava, Rajeev, Jagdish Prasad, Nagaraju, M.S.S., Saxena, R.K. and Barthwal, A.K. (2005). Application of remote sensing and GIS in watershed characterization and management. J. Indian Society of Remote Sensing, 33(2):239-244.
    43. Nikam, M.S.; Jagdish Prasad, Patil, N.G. and Srivastava, Rajeev (2006) Moisture retention characteristics of forest, grassland and cultivated non-vertic shallow soils in Nagpur district of central India. J. Indian Soc. Soil Sci. 54(2): 240-242.
    44. Nikam, M.S.; Patil, N.G., Jagdish Prasad and Srivastava, Rajeev (2006) Water retention characteristics of shallow soils of basaltic origin in Nagpur district. Indian J. Soil Conservation 34 (3): 229-232.
    45. Lingade, S.R. Srivastava, Rajeev, Jagdish Prasad and Saxena, R.K. (2008) Occurrence of sodic Vertisols in Nagpur district, Maharashtra, J. Indian Soc. Soil Sci. 56(2): 231-232.
    46. Patil, N.G., Jagdish Prasad, Srivastava, Rajeev and Nikam, M.S. (2008). Evaluation of different water retention functions for shallow soils of Nagpur district, Maharashtra. Journal of Water Management, 16(2):71-79.
    47. Shukla, E.A.; Jagadish Prasad, Nagaraju, M.S.S.; Srivastava, Rajeev and Kaurav, B.L. (2009) Use of remote sensing in characterisation and management of Dhamni micro-watershed of Chandrapur district of Maharashtra, Journal of Indian Society of Remote Sensing, 37:173-181.
    48. Patil, N.G., Jagdish Prasad, Srivastava, Rajeev and Dhale, S.A. (2009) Estimation of water retention characteristics of shrink-swell soils using pedotransfer functions. J. Indian Soc. Soil Sci. 57(3): 273-279.
    49. Das, D.K., Bandyopadhyay, S. Chakraborty, D. and Srivastava, Rajeev (2009) Application of modern techniques in characterization and management of soil and water resources. J. Indian Soc. Soil Sci. 57(4): 445-460.
    50. Kashiwar, D.Y, Nagaraju, M.S.S., Srivastava, Rajeev, Jagdish Prasad, Ramamurthy, V. and Barthwal, A.K. (2009) Characterization, evaluation and management of Salai watershed in Nagpur district of Maharashtra using remote sensing and GIS techniques. Agropedology 19 (1): 15-23.
    51. Nagaraju, M.S.S., Srivastava, Rajeev, Barthwal, A.K. and Maji, A.K. (2009) Characterization and Evaluation of Land Resources for Management of Chandanpardi Watershed in Basaltic Terrain of Nagpur District of Maharashtra using Remote Sensing and GIS. Journal of Water Management 17(1): 1-11.
    52. Girish, B., Patil, Nagaraju, M.S.S., Jagdish Prasad and Rajeev Srivastava (2009). Characterization, evaluation and mapping of land resources in Lendi watershed, Chandrapur district of Maharashtra using Remote Sensing and GIS. Journal of the Indian Society of Soil Science (Accepted).
    53. Nagaraju, M.S.S., G.P. Obi Reddy A.K. Maji, Rajeev Srivastava, P. Raja and A.K. Barthwal (2009) Soil Loss Mapping for Sustainable Development and Management of Land Resources in Warora Tehsil of Chandrapur District of Maharashtra : An Integrated Approach using Remote Sensing and GIS. Journal of the Indian Society of Remote Sensing (Accepted).
    54. Shweta A. Ardak, M.S.S. Nagaraju, Jagdish Prasad, Rajeev Srivastava And A.K. Barthwal (2009) Characterization and evaluation of land resources in Khapri village of Nagpur district, Maharashtra using high resolution satellite data and GIS. Agropedology (Revised).
    55. Shilpa S. Patil, M.S.S. Nagaraju and Rajeev Srivastava (2010) Characterization and evaluation of land resources of basaltic terrain for watershed management using remote sensing and GIS. Indian Journal of Soil Conservation 38(1): 16-23.

    Reports / Bulletin

    1. Harmonisation of wasteland with soil degradation datasets in Salem district, Tamil Nadu (1997). Report No. 829. National Bureau of Soil Survey and Land Use Planning, Nagpur.35p +3 maps.
    2. Harmonisation of wasteland with soil degradation datasets in Pune district, Maharashtra (1998), Report No. 831, National Bureau of Soil Survey and Land Use Planning, Nagpur.10p +6 maps.
    3. Harmonisation of wasteland with soil degradation datasets in Udaipur district, Rajasthan (2000), Report No. 830, National Bureau of Soil Survey and Land Use Planning, Nagpur. 15p.
    4. Characterization of Jhilpi Watershed using IRS-1C data (2004) Report No.828, National Bureau of Soil Survey and Land Use Planning, Nagpur, 79p.
    5. Salt affected soils, Etah district (Uttar Pradesh). NBSS&LUP Publ. No. 108, National Bureau of Soil Survey and Land Use Planning, Nagpur, pp.85.
    6. Reflectance libraries for development of soil sensor for periodic assessment of state of soil resources (2005) Report No. 835, National Bureau of Soil Survey and Land Use Planning, Nagpur. 40p.
    7. Standardization of methodology for large scale soil mapping- a collaborative project between NBSS&LUP and NRSA (2005). Report No. 907, National Bureau of Soil Survey and Land Use Planning, Nagpur.75p.
    8. Modelling the spatial variability of soil loss estimation in a watershed near Nagpur using remote sensing and GIS (2005). Report no. 933, National Bureau of Soil Survey and Land Use Planning, Nagpur. 48p.
    9. Spectral reflectance characteristics of soils of the Indo-Gangetic alluvial plains (2007) National Bureau of Soil Survey and Land Use Planning, Nagpur. 25p.
    10. Assessment of soil erosion risk and land quality in Warora tehsil, Chandrapur district, Maharashtra. NBSS&LUP, Nagpur (2008).
    11. Land Resources and their Evaluation for Land Use Planning in Basaltic Terrain using Remote Sensing and GIS (2008) National Bureau of Soil Survey and Land Use Planning, Nagpur. 43p.
    12. Soil variability mapping and fertility zonation using hyperspectral data- A collaborative project between NBSS&LUP, Nagpur and SAC, Ahmedabad (2010) Project Report. National Bureau of Soil Survey and Land Use Planning, Nagpur. 33p.


     

    GIS Lab - RSA Division

    1. Obi Reddy, G.P., Sarkar, Dipak, Jagdish Prasad and Ramamurthy, V. (2013). Geospatial modeling in assessment of biophysical resources for sustainable land resource management, Tropical Ecology 54(2): 213-226.
    2. Vishal, M.K. Aishwath, O.P., Singh, R., Mehta, R.S., Mishra, B.K., Obi Reddy, G.P. and Nirmal Kumar (2013). Spatial and Temporal assessment of area, production and productivity of cumin in Rajasthan. International Journal of Seed Spices, 3(1): 70-76
    3. Dongare, Vishakha T., Obi Reddy, G.P., Maji, A.K., and Ramteke, I.K. (2013). Characterization of Landforms and Soils in Complex Geological Formations—A Remote Sensing and GIS Approach. Journal of the Indian Society of Remote Sensing, Volume 41(1), 91-104.
    4. Obi Reddy, G.P., Nagaraju, M.S.S., Ramteke, I.K. and Sarkar, Dipak (2012). Terrain Characterization for Soil Resource Mapping Using IRS-P6 Data and GIS - A Case Study From Basaltic Terrain of Central India, Journal of the Indian Society of Remote Sensing, Volume 41(2), 331-343.
    5. Nirmal Kumar, Obi Reddy, G.P., Chatterjee, S. and Sarkar, Dipak (2012). An application of ID3 decision tree algorithm for land capability classification, Agropedology. 22(1): 35-42.
    6. Ramamurthy, V., Naidu, L. G. K., Srinivas, S., Obi Reddy, G.P. and Sarkar, Dipak (2012). Delineation of potential areas for safflower production in Deccan Plateau. J. Oilseeds Res., 29: 226-233.
    7. Chaturvedi, Arun, Obi. Reddy, G.P., Srivastava, Rajeev and Maji, A.K. (2012). Remote sensing and GIS applications in rainfed agriculture management. J. Soil and water conservation, Vol. 11 No.2, pp 174-180.
    8. Walke, Nilesh, Obi Reddy, G.P., Maji, A.K. and Thayalan, S. (2012). GIS based multi-criteria overlay analysis in soil-suitability valuation for Cotton (Gossypium spp.): A case study in black soil region of Central India. Computers and Geosciences. 41: 108-118.
    9. Nagaraju, M.S S., Obi Reddy, G.P., Maji, A.K., Srivastava, Rajeev, Raja, P. and Barthwal, A.K. (2011). Soil Loss Mapping for Sustainable Development and Management of Land Resources in Warora Tehsil of Chandrapur District of Maharashtra: An Integrated Approach Using Remote Sensing and GIS. Journal of Indian Society of Remote Sensing, Vol. 39, No.1, 51-61.
    10. Bobade, S.V., Bhaskar, B.P., Gaikwad, M.S., Raja, P., Gaikwad, S.S., Anantwar, S.G., Patil, S.V., Singh, S.R. and Maji, A.K. (2010). A GIS-based land use suitability assessment in Seoni district, Madhya Pradesh, India. Tropical Ecology, 51(1):41-54.
    11. Dheeravath, V., Thenkabail, P.S., Chandrakantha, G., Noojipady, P., Reddy, G.P.O., Biradar, C.M., Gumma, M.K. and Velpuri, M. (2010). Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003. ISPRS J. Photogramm. Remote Sen. 65(1), 42-59.
    12. Gangopadhyay, S.K., Obi Reddy, G.P., Sarkar, D., Srinivas, C.V. and Khan, I.Q. (2010). Soil suitability evaluation using remotely sensed data and GIS – A case study from semi-arid tropics of India. International Journal of Geoinformatics, Vol.6, No.3, pp. 35-47.
    13. Srinivas C.V., Vittal Murthy, K.P.R., Krishna Murthy, Y.V.N., Raja, P. and Obi Reddy P. (2010). A study of atmosphere – biosphere exchange of CO2 in a tropical Indian region using NOAA AVHRR data and field observations. Asian Journal of Geoinformatics, Vol. 10, No.3, pp.35-47.
    14. Prasand S. Thenkabail, Chandrashekhar M. Biradar, Praveen Noojipady, Venkateswarlu Dheeravath, Yuanjie Li, Manohar Velpuri, Muralikrishna Gumma, Obi Reddy P. Gangalakunta, Hugh Turral, Xurliang L. Cai, Jagath Vithanage, Mitchell A. Schull and Rishiraj Dutta (2009). Global Irrigated Area map (GIAM) Derived from Remote Sensing for the end of the last Millennium, International Journal of Remote Sensing, Vol. 30, No.14, 20 July, pp 3679-3733.
    15. Chandrashekhar M. Biradar, Prasand S. Thenkabail, Praveen Noojipady, Yuanjie Li, Venkateswarlu Dheeravath, Hugh Turral, Manohar Velpuri, Murali K Gumma, Obi Reddy P. Gangalakunta, Xurliang L. Cai, Xiangming Xiao, Mitchell A. Schull, Ranjith D Alankara, Sarath Gunasingh, Sadir Mohideen (2009). A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing, International Journal of Applied Earth Observation and Geoinformation, Vol. 11, 2009, pp.114-129.
    16. Prasand S. Thenkabail, Venkateswarlu Dheeravath, Chandrashekhar M. Biradar, Obi Reddy P. Gangalakunta, Praveen Noojipady, Chnadrakantha Gurappa, Manohar Velpuri, Muralikrishna Gumma and Yuanjie Li (2009). Irrigated Area maps and Statistics of India using Remote sensing and National Statistics, Sensors, Vol. 1, pp.50-67.
    17. Ramesh Kumar, S.C., Vadivelu, S., Ramamurthy, V., Naidu, L.G.K., Reddy, R.S., Srinivas, S. and Maji, A.K. (2008). Monitoring soil quality changes in relation to land use and management. Agropedology, Vol.18:50-57.
    18. Ramamurthy, V., Ramesh Kumar, S.C., Naidu, L.G.K., Vadivelu, S., Maji, A.K. and Parhad, V.N. (2007). Agribusiness opportunities in promoting vermicompost in citrus cultivation in Maharashtra. Agril. Economics Res. Rev., 20:608.
    19. Singh, R.S., Dubey, P.N., Sen, T.K. and Maji, A.K. (2006). Distribution of potassium in soils of Manipur encompassing physiographic and hydrothermal variations. J. Indian Soc. Soil Sci. Vol.54(2):
    20. Singh, K.N., Raju, N.S., Subba Rao, A., Rathode, Abhishek, Srivastava, Sanjay, Samanta, R.K. and Maji, A.K. (2006). Prescribing optimum doses of nutrient for targeted yield through soil fertility map in Andhra Pradesh. J. Ind. Soc. Agril. Statistics. Vol.59(2):131-140.
    21. Maji, A.K., Obi Reddy, G.P., Tamgadge, D.B and Gajbhiye, K. S (2005). Spatial Modeling for Crop Suitability Analysis Using AGROMA GIS software, Asian Journal of Geoinformatics, Vol. 5 (3), pp 47-56.
    22. Maji, A.K., Obi Reddy, G.P., Thayalan, S and Walke, N.J. (2005). Characterization and Classification of Landforms and Soils over Basaltic Terrain in Sub-humid Tropics of Central India, Journal of Indian Society of Soil Science, Vol 53 (2), pp-154-162.
    23. Maji, A.K., Obi Reddy, G.P., Thayalan, S. and Walke, N.J. (2005). GIS based approach in soil suitability evaluation for cotton in black soils of sub-humid tropics of central India. J. Indian Soc. Soil Sci., Vol.53(2):154-162.
    24. Maji, A.K., Obi Reddy, G.P., Tamgadge, D.B and Gajbhiye, K. S (2004). GIS based Soil Resource Information System and Modeling for Crop Suitability Analysis - A Case study, Asian Journal of Geoinformatics, Vol.5(3), pp.47-56.
    25. Obi Reddy, G.P., Sambasiva Rao, M. and Maji, A.K. (2004). Delineation and prioritization of macro watersheds in Semi-Arid Anantapur district, Andhara Pradesh, Geographical Review of India, Vol.66 No.1 PP.72-83.
    26. Obi Reddy, Gangalakunta, P., Maji, Amal Kumar and Gajbhiye, Kothiram S. (2004). Drainage morphometry and its influence on landform characteristics in a basaltic terrain, central India – remote sensing and GIS approach. Int. J. Applied Earth Observation and Geoinformation, 6:1-16.
    27. Raghavendra Reddy, M.G., Obi Reddy, G.P., Maji, A.K and Nageshwara Rao, K. (2004). Land Evaluation for Cotton Suitability in a part of Eastern Maharashtra Plateau using Remote Sensing and GIS, AgroPedology, Vol.14(1), pp.25-31.
    28. Obi Reddy Gangalakunta, P., Maji, Amal K. and Gajbhiye Kothiram S. (2004). Drainage Morphometry and Its Influence on Landform Characteristics in Basaltic Terrain – A Remote Sensing and GIS Approach. International Journal of Applied Earth Observation and Geoinformatics, Vol.6, pp.1-16.
    29. Obi Reddy, G.P. and Maji, A.K. (2004). Characterization of Biophysical Land Units using Remote Sensing and GIS, Journal of the Indian Society of Remote sensing, Vol., 32, No.2, pp.159-165.
    30. Obi Reddy, G.P., Maji, A.K., Chary, G.R., Srinivas, C.V., Tiwary, P. and Gajbhiye, K.S. (2004). GIS and Remote sensing Applications in Prioritization of River sub basins using Morphometric and USLE Parameters - A Case study. Asian Journal of Geoinformatics, Vol.4 No.4 pp. 35-49.
    31. Raghavendra Reddy, M.G., Obi Reddy, G.P., Maji, A.K and Nageshwara Rao, K. (2003). Landscape Analysis for Pedo-Geomorphological Characterization in part of Basaltic Terrain, Central India using Remote Sensing and GIS. Journal of the Indian Society of Remote sensing, Vol., 31, (4), pp.271-282.
    32. Raghavendra Reddy, M.G., Obi Reddy, G.P., Maji, A.K and Nageshwara Rao, K. (2003). Land Evaluation and Suitability Analysis for Cotton in Black Soils of part of Eastren Maharashtra Plateau using Remote Sensing and GIS. Agropedology, Vol., 14 (1) pp. 25-31.
    33. Vadivelu, S., Baruah, U., Bhaskar, B.P., Thampi, J., Sarkar, D., Walia, C.S., Nayak, D.C. and Maji, A.K. (2003). A land use plan of Jorhat district of Assam state. Agropedology, 13(1):1-10.
    34. Sen, T.K., Dubey, P.N., Nayak, D.C., Baruah, U., Bhattacharyya, T., Maji A.K. and Velayutham, M. (2003). Soil resource information for agricultural planning and development of Assam. Agropedology, 13(1):50-59.
    35. Obi Reddy, G.P. and Maji, A.K. (2003). Delineation and Characterization of Geomorphological features in a part of Lower Maharahstra Metamorphic Plateau, using IRS-ID LISS-III data. Journal of the Indian Society of Remote sensing, Vol., 31, (4), pp.159-165.
    36. Maji, A.K. and Singh, R.S. (2002). Evaluation of site and soils for suitability of citrus in Meghalaya state. Indian J. Citriculture, Vol.1(1):46-50.
    37. Krishna, N.D.R., Rao, B.S.P., Maji, A.K., Velautham, M. and Srinivas, C.V. (2002). Geostats for Mapping Length of Growing Period in a Tropical Environment, state of Andhra Pradesh, India., Asian Journal of Geoinformatics,Vol., 2, (4), pp. 53-62.
    38. Obi Reddy, G.P., Maji, A.K., Srinivas, C.V. and Velayutham, M. (2002). Geomorphological Analysis for Inventory of Degraded Lands in a River basin of Basaltic Terrain, Using Remote Sensing Data and Geographical Information Systems, Journal of the Indian Society of Remote sensing,Vol.30, No.1&2, pp.15 -31.
    39. Obi Reddy, G.P., Maji, A.K. and Gajbhiye, K.S. (2002). GIS for Morhophometric Analysis of River basins. GIS India, Vol.11 (9), pp.9-14.
    40. Srinivas, C.V., Maji, A.K., Obi Reddy, G.P. and Chary, G.R. (2002). Assessment of Soil Erosion Using Remote sensing and GIS in Nagpur District, Maharashtra, for Prioritization and Delineation of Conservation Units, Journal of the Indian Society of Remote sensing, Vol.30, (4), pp.197-211.
    41. Krishna N.D.R., Maji, A.K., Krishna Murty, Y.V.N. and Rao, B.S.P. (2001). Remote Sensing and GIS for Canopy cover mapping., Journal of the Indian Society of Remote sensing,Vol., 29 (3), pp. 107-113.
    42. Maji, A.K., Nayak, D.C., Krishna N.D.R., Srinivas, C.V., Kamble, K., Obi Reddy, G.P. and Velayutham, M. (2001). Soil information system of Arunachal Pradesh in GIS environment for land use planning. Int. J. Applied Earth Observation and Geo-Information (ITC Journal), Vol.3(1):69-77.
    43. Maji, A.K., Srinivas, C.V., Dubey, P.N., Obi Reddy, G.P., Kamble, K.H. and Velayutham, M. (2001). Soil Resource Information System for Nagaland in GIS for Land use planning in Mountainous Region, GIS India, Vol., 11 (4), pp. 13-16.
    44. Obi Reddy G.P., Maji A.K, Srinivas C.V, Thayalan S and Velayutham, M (2001). Remote sensing and GIS Applications for Landscape Ecological Planning in a Basaltic Terrain, Central India, Journal of the Indian Society of Remote sensing,Vol., 29 (1&2), pp. 3-16.
    45. Obi Reddy, G.P., Maji, A.K., Srinivas, C.V., Thayalan, S. and Velayutham, M. (2001). Landscape ecological planning in a basaltic terrain, Central India using remote sensing and GIS techniques. J. Indian Soc. Remote Sensing, Vol.29(1&2):3-16.
    46. Gangopadhyay, S.K., Baruah, U., Nayak, D.C., Sen, T.K., Singh, R.S., Maji A.K. and Sarkar, D. (2000). Soils of North-Eastern India – their characteristics, problems and potential. Indian Journal of Landscape System, 22:65-75.
    47. Obi Reddy, G.P., Esther Shekinah, D., Maurya, U.K., Thayalan, S., Jagdish Prasad, Ray, S.K. and Bhaskar, B.P. (2000). Landscape-soil relationship in a part of Bazargaon plateau, Maharashtra. Geographical Review of India, Vol., 61(3):280-291.
    48. Obi Reddy, G.P., Sambasiva Rao, M. and Maji, A.K. (2000). Land capability of Narayanappa Kunta micro-watershed, Anantapur district (A.P.).Geographical Review of India, Vol., 62:126-134.
    49. Obi Reddy, G.P. and Sambasiva Rao, M. (1999). Environmental Impact Assessment using Remote sensing data- A case study. The Geographical Review, Vol.61, (1), pp.14-21.
    50. Obi Reddy, G.P., Chandramouli, K., Srivastav, S.K., Maji, A.K. and Srinivas, C. (1999). Evaluation of Groundwater potential zones using Remote sensing data - A case study. , Journal of the Indian Society of Remote sensing,Vol., 28 (1), pp. 19-32.
    51. Sen, T.K., Baruah, U., Maji, A.K., Chamuah, G.S. and Sehgal, J. (1996). Remote Sensing Approach to Detect Temporal Change in the course of Brahmaputra River. Agropedology. 6 (1):23-28.
    52. Bhattacharyya, T., Sarkar, D., Gangopadhyay, S.K., Dubey, P.N., Baruah, U., Chamuah, G.S., Mukhopadyay, S., Nayak, D.C., Maji, A.K., Saxena, R.K., Barathwal, A.K., Krishna, N.D.R., Mandal, C., Sehgal, J., Bhowmick, K.R, Sinha, K., Chakrabarthy, R., Majumdhar, S.N., Pal, P.K., Krishnakumar, A.K. and Sethuraj, M.R. (1998) Soils of Tripura, I- Characterisation and classification, Agropedology, vol. 8(1), 47-55.
    53. Bhattacharyya, T., Sarkar, D., Gangopadhyay, S.K., Dubey, P.N., Baruah, U., Chamuah, G.S., Mukhopadyay, S., Nayak, D.C., Maji, A.K., Saxena, R.K.,. Barathwal, A.K., Krishna, N.D.R., Mandal, C., Sehgal, J., Bhowmick, K.R., Sinha, K., Chakrabarthy, R., Majumdhar, S.N., Pal, P.K., Krishnakumar, A.K. and Sethuraj, M.R. (1998) Soils of Tripura, II- Suitability for Rubber, Agropedology, vol. 8(1), 55-60.
    54. Maji, A.K., Krishna, N.D.R. and Challa, O. (1998) Geographical Information System in Analysis and Interpretation of Soil Resource Data for Land Use Planning. J. Ind. Soc. Soil Sci. 46(2), 260-263
    55. Maji, A.K., Krishna, N.D.R., Sehgal, J. and Velayutham, M. (1998). Dissemination of Soil Information for District Level Planning using GIS. GIS India. Vol. 7:21-25, Hyderabad.
    56. Obi Reddy, G.P. and Sambasiva Rao, M. (1997). Environmental impact assessment studies and conservation of natural resources of Anantapur district, India, using Remote sensing data. National Geographer, Vol. XXXII, (2),, pp.151-157.
    57. Sen T.K., Nayak, D.C., Singh, R.S., Dubey, P.N., Maji, A.K., Chamuah, G.S. and Sehgal, J. (1997). Pedology and Edaphology of some Benchmarck Acid Soils of North-Eastern India. J.Ind.Soc. Soil Sci. 45:782-790
    58. Sen, T.K., Dubey, P.N., Maji, A.K., Chamuah, G.S. (1997). Status of Micronutrients in some dominant soil of Manipur. J.Ind. Soc. Sci. 45(2): 388-390.
    59. Maji, A.K. and Krishna, N.D.R. (1996). Application of Geographical Information System in Soil Resource Management. Agropedology. 6(2):75-78.
    60. Maji, A.K., Singh, R.S. and Sehgal, J. (1993). Soils of the Hill Lands and Their Suitability for Alternative Land Use Planning, J. Ind. Hill. Farm 6 : 63-68.
    61. Baruah, U. Chamuah, G.S. and Maji, A.K. (1992). Variability in Surface Soil Properties Related to Geomorphology in North Eastern India. J. Ind. Soc. Soil Sci., 40:881-884.
    62. Maji, A.K. (1992). A computerised Approach for Physical Suitability Evaluation of Lands of Singhik Subwatershed, Sikkim. Agropedology, 2; 37-44.
    63. Maji, A.K. (1992). Economic Suitability Evaluation of Lands Using ALES Program, J. Ind. Soc. Soil Sci. 40; 527-533.
    64. Sen, T.K., Pandey, L.M., Sehgal, J. and Maji, A.K. (1992). Satellite Remote Sensing in Soil Resource Inventory of Dibrugarh District (Part), Assam.Photonirvachak, J. Indian Soc. Remote Sensing, 20 : 95-104.
    65. Maji, A.K. and Sengupta, M.B. (1982). Studies on Potassium in Soils:- 1.Quantity-Intensity Relationship, J. Ind. Soc. Soil Sci. 30:494-496.
    66. Sengupta, M.B. and Maji, A.K. (1981). Effect of Mineral Fertilizer Application on the Potassium Content in Wheat and the Influence of RNA Treatment on K Uptake. Indian Pot. Jour. 4: 5-11.
    67. Sengupta, M.B. and Maji A.K. (1977). Behaviour of Ammonium and Phosphate in Sodic Soils and Their Availability to Wheat. Fertilizer Tech. 14, 38-42.

    Reports / Bulletin

    1. G.P. Obi Reddy, Nirmal Kumar and Dipak Sarkar (2012). Training Manual on GIS and Digital Image Processing, NBSS Publ. No. 153, NBSS&LUP, Nagpur, pp. 166.
    2. G.P. Obi Reddy and Dipak Sarkar (Eds) (2012). Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS Publ. No. 152, NBSS&LUP, Nagpur, pp. 300.
    3. G.P. Obi Reddy and Dipak Sarkar, (2012). Compendium on Human Resource Development in Remote Sensing and GIS in Natural Resource Management, NBSS Publ. No. 150, NBSS&LUP, Nagpur, pp. 88.
    4. A.K. Maji, G.P. Obi Reddy and Dipak Sarkar, (2012). Acid Soils of India – Their Extent and Spatial Variability, NBSS Publ. No. 145, NBSS&LUP, Nagpur, p. 138.
    5. G.P. Obi Reddy and Dipak Sarkar, (2012). Assessment of Soil Loss for Prioritization of Sub Watersheds – A Remote Sensing and GIS Approach, NBSS Publ. No. 137, NBSS&LUP, Nagpur, pp. 55.
    6. A.K. Maji, G.P. Obi Reddy, Dipak Sarkar. (2010). Degraded and Wastelands of India: Status and Spatial Distribution. ICAR, NARS joint publication. pp.158.
    7. Obi Reddy, G.P., Maji, A.K., Nagaraju, M.S.S., Thayalan, S. and Ramamurthy, V. (2008). Ecological evaluation of land resources and land use systems for sustainable development at watershed level in different agro-ecological zones of Vidarbha region, Maharashtra using remote sensing and GIS techniques, NBSS Publ. NBSS&LUP, Nagpur. pp.270.
    8. Singh, M.V., Nayyar, V.K. and Maji, A.K. (2008). Zinc fertility status in soils of Punjab. Micronutrient Fertility Mapping for Indian Soils. Tech. Bulletin AICRP, Micronutrients, IISS, Bhopal 7, p.1-60.
    9. Singh, K.N., Raju, N.S., Srivastava, Sanjay, Subba Rao, A., Rathore, Abhishek, , and Maji, A.K. (2007). Prescription of optimum doses of fertilizers for targeted yields of crops through soil fertility map in different states of India. Indian Institute of Soil Science and National Bureau of Soil Survey & Land Use Planning Publ., pp.18.
    10. Sharma, P.D., Baruah, T.C., Maji, A.K. and Ram Pati (2006). Management of Acid Soils in NEH Region. ICAR Publ. pp.14.
    11. Sahoo, A.K., Sarkar, Dipak, Sah, K.D., Maji, A.K. and Dhyani, B.L. (2006). Soil Erosion of Bihar. NBSS Publ.125, p.49.
    12. Sen, T.K., Baruah, U., Sarkar, D., Maji, A.K. and Patil, V.P. (2006). Soil Series of Manipur, NBSS Publ. 134, p. 53.
    13. Ramamurthy, V., Gajbhiye, K.S., Sohan Lal and Maji, A.K. (2006). Land Resource Management through Technology Assessment and Refinement. NBSS Pub. No. 133. 106 pp.
    14. Sahoo, A. K., Sarkar, Dipak , Sah, K. D., Maji, A.K. and Dhyani, B.L. (2006). Soil Erosion of Orissa. NBSS Publ. 126, NBSS & LUP (ICAR), Nagpur, 48p.
    15. Sen, T.K., Ram Babu, Nayak, D.C., Maji, A.K., Walia, C.S., Baruah, U. and Sarkar, D. (2005). Soil Erosion of Assam, NBSS Publ.118, p.41.
    16. Maji, A.K., Baruah, U., Dubey, P.N., Verma, T.P., Bute, P., Shila Kiku and Angami, V. (2004). Soil Series of Nagaland. NBSS Publ.109, p.126.
    17. Tamgadge, D.B., Tiwari, A.K. and Maji, A.K. (2003). Soil Erosion – Chhattisgarh. NBSS Publ. 103, p.30+ 1 map.
    18. Tamgadge, D.B., Tiwari, A.K., Maji, A.K. and Mondal, C. (2003). Soil Erosion – Madhya Pradesh. NBSS Publ. 106, p.78.
    19. Shyampura, R.L., Singh, R.S., Singh, R.K. and Maji, A.K. (2003). Soil Erosion – Rajasthan. NBSS Publ. 102, p.35+ 1 map.
    20. Maji, A.K. and Sehgal, J. (2001). Soils of Mizoram for Optimising Land Use Plan. NBSS Publ. No.75b, NBSS&LUP, Nagpur.
    21. Sen, T.K., Maji, A.K., Chamuah, G.S. and Sehgal, J. (2000). Soils of Manipur for Optimising Land Use Plan. NBSS Publ., 56b. NBSS&LUP, Nagpur.
    22. Maji, A.K. and Sehgal, J. (2000). Soils of Nagaland for Optimising Land Use Plan. NBSS Publ. 67b, NBSS&LUP, Nagpur, 54p. + 1 sheet.
    23. Singh, R.S., Maji, A.K. and Sehgal, J. (1999). Soils of Meghalaya for Optimising Land Use Plan. NBSS Publ. 52b, NBSS&LUP, Nagpur, 44p + 1 sheet.
    24. Bhattacharyya, T., Sarkar, D., Maji, A.K., Chamuah, G.S. and Sehgal, J. (1996). Soils of Tripura for Optimising Land Use Plan with particular reference to Rubber. NBSS Publ. 65.
    25. Maji, A.K., Shyampura, R.L., Sehgal, J. and Krishna, N.D.R. (1996). Soil Based district Level Land Use Planning- Udaipur, Dist. Rajastan. NBSS Publ. 63, 1996.
    26. Nayak, D.C., Maji, A.K. and Sehgal, J. (1995). Soils of Arunachal Pradesh for Optimising Land Use Plan. NBSS Publ. 55b, NBSS&LUP, Nagpur, p.54 + 1 sheet.
    27. Sen, T.K., Nayak, D.C., Maji, A.K. and Chamuah, G.S. (1993). Pedogenic Characteristics of Some Red Soils of Manipur. Red and Lateritic Soils of India Resource Appraisal and Management, NBSS Publ: 37, 62-67.
    28. Maji, A.K. and Van Wambeke, A. (1993). ALES- A Microcomputer Based Framework for Land Evaluation. Land Evaluation for Land Use Planning, NBSS Publ. 42; 155-159.
    29. Haldar, A.K., Sarkar, D. and Maji, A.K. <strong>(1993)</strong>. Soils of West Bengal for Optimising Land Use Plan. NBSS Publ. 27 B.

    Popular Articles

    1. Obi Reddy, G.P. and Sarkar, Dipak (2012). Land degradation, environment and food security, Geography and You, Vol. 12, Issue 73, July-August, 2012 p. 6-9.
    2. Hajare, T.N., Venugopalan, M.V., Patil, N.G. and Maji, A.K. (2008). Mathi pariksha (Marathi). Jaminichi Arogya Patrika, Vibhagiya Krushi Sahasanchalak, Nagpur. Pp 13-19.
    3. Jagdhish Prasad and G.P. Obi Reddy (2006). Dhan, Muowa, Avam Tendu: Adivasion ka Jeevan, Krushi Vistar Shamisha, Krshi Mantralay, New Delhi, July-December, 2006, Vol.16 No.1, 2006, pp.33-39.
    4. Maji, A.K. and Chaturvedi, Arun. (2000). Geo informatics for land management in Nagpur. Zero-mile, Souvenir, Indian Geography Congress.
    5. Maji, A.K. (2000). Soil information system at NBSS&LUP. Perspectives and policies for land use planning. Souvenir, 65th Annual Convention of ISSS.
    1. Obi Reddy, G.P. and Sarkar, Dipak (2012). Geospatial technologies in characterization of land use system and analysis of their spatio-temporal dynamics in hot sub-humid ecosystem of central India. In: Agro-informatics and Precision Agriculture 2012, (P. Krishna Reddy et. al. eds.), pp.205.
    2. Obi Reddy, G.P. (2012). Geomorphological processes and evolution of landforms, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152 (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 26-35.
    3. Obi Reddy, G.P. (2012). Principles and concepts of GIS, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 69-77.
    4. Obi Reddy, G.P. (2012). Principles of digital image processing, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152 (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 86-97.
    5. Obi Reddy, G.P. (2012).Digital Elevation Models- Sources and resolutions, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152 (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 121-125.
    6. Obi Reddy, G.P. (2012).Principles and applications of digital terrain analysis, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152 (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 129-135.
    7. Obi Reddy, G.P. (2012). Extraction of terrain variables from DEM, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152 (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 140-146.
    8. Obi Reddy, G.P. (2012). GIS and remote sensing applications in watershed hydrology, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152 (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 159-173.
    9. Obi Reddy, G.P. (2012). Advances of GIS and remote sensing in hydro-geomorphology, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152 (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 184-193.
    10. Obi Reddy, G.P. (2012). Conceptual design of soil information system – A Geoportal, In: Remote sensing and GIS in digital terrain analysis and soil-landscape modeling, NBSS&LUP Publ. No. 152 (Eds. G.P. Obi Reddy and Dipak Sarkar), pp 217-226.
    11. Nirmal Kumar (2012). Overview of GIS and image processing software’s. In Remote sensing and GIS in digital terrain analysis and soil-landscape modeling (Eds. G.P. Obi Reddy and Dipak Sarkar), NBSS Publ. No. 152, NBSS&LUP, Nagpur, pp. 113.
    12. Nirmal Kumar (2012). Geostatistics in digital terrain analysis. In Remote sensing and GIS in digital terrain analysis and soil-landscape modeling (Eds. G.P. Obi Reddy and Dipak Sarkar), NBSS Publ. No. 152, NBSS&LUP, Nagpur, pp. 147.
    13. Nirmal Kumar (2012). Remote sensing and GIS applications in LULC analysis. In Remote sensing and GIS in digital terrain analysis and soil-landscape modeling (Eds. G.P. Obi Reddy and Dipak Sarkar), NBSS Publ. No. 152, NBSS&LUP, Nagpur, pp. 254.
    14. Obi Reddy, G.P. and Sarkar, Dipak (2013). Remote sensing and GIS for spatial decision support in sustainable land resource management, In: Geospastail Technologies for Natural Resource Management (Eds: S.K. Soam et al.,), pp. 259-277.
    15. Nirmal Kumar, R.N. Sahoo, N.K. Sinha (2012). Discriminating Different Tillage: Through remote sensing approach, Lambert Academic publishers, Germany, pp 92.
    16. Chandrashekhar M. Biradar, Prasand S. Thenkabail, Praveen Noojipady, Y.J.Li., Venkateswarlu Dheeravath, Manohar Velpuri, Hugh Turral, Xueliang L. Cai, Muralikrishna Gumma, Obi Reddy P. Gangalakunta, Mitchell A. Schull, Ranjit D. Alankara, Sarath Gunasinghe and Xianguing Xiao (2009). Global Map of Rainfed Cropland Areas (GMRCA) and Statistics using Remote Sensing, Remote Sensing of Global Croplands for Food Security (Eds: Prasand S. Thenkabail, John G. Lyon, Hugh Turral and Chandrashekhar M. Biradar), Tylor and Francis Series in Remote sensing Applications (Book Series Editor: Qihao Weng), CRC Press, London, pp 357-392.
    17. Y.J.Li., Prasand S. Thenkabail, Chandrashekhar M. Biradar, Praveen Noojipady, Venkateswarlu Dheeravath, Manohar Velpuri, Obi Reddy P. Gangalakunta and Xueliang L. Cai (2009). A History of irrigated areas of the world, Remote Sensing of Global Croplands for Food Security (Eds: Prasand S. Thenkabail, John G. Lyon, Hugh Turral and Chandrashekhar M. Biradar), Tylor and Francis Series in Remote sensing Applications (Book Series Editor: Qihao Weng), CRC Press, London, pp 14-40.
    18. Maji, A.K. and G.P. Obi Reddy (2009). GIS Applications in Soil Survey and Mapping, Soil Survey Manual, NBSS&LUP Publ. No. 146 (Eds. Bhattacharyya et al., 2009), Pp. 202-214.
    19. Maji, A.K. and Obi Reddy, G.P. (2009) GIS Applications in soil survey and mapping, Soil Survey Mannual, NBSS&LUP, Pub. No. 146 (Eds. Bhattacharya et. al. 2009), PP 202-214.
    20. Obi Reddy, G.P., Maji, A.K., Jagdish Prasad, Ramamurthy, V. And Ramteke, I.K. (2009). Geo-spatial resource database for carrying capacity based resource planning – Remote sensing and GIS approach. Information technology in agriculture: The fifth international conference of the asian federarion for information technology in agriculture. Macmillan Publishers, India (Eds: V.C Patil and Seishi Ninomiya), pp.181-201.
    21. Obi Reddy P. Gangalakunta, Venkateswarlu Dheeravath, Prasand S. Thenkabail, G. Chandrakantha, Chandrashekhar M. Biradar, Praveen Noojipady, Manohar Velpuri and Maji Amal Kumar (2009). Global irrigated area Mapping (GIAM) and Statistics using Remote Sensing, Remote Sensing of Global Croplands for Food Security (Eds: Prasand S. Thenkabail, John G. Lyon, Hugh Turral and Chandrashekhar M. Biradar), Tylor and Francis Series in Remote sensing Applications (Book Series Editor: Qihao Weng), CRC Press, London, pp 139-176.
    22. Prasand S. Thenkabail, Chandrashekhar M. Biradar, Praveen Noojipady, Venkateswarlu Dheeravath, Muralikrishna Gumma, Y.J.Li., Manohar Velpuri and Obi Reddy P. Gangalakunta (2009). Global irrigated area Mapping (GIAM) and Statistics using Remote Sensing, Remote Sensing of Global Croplands for Food Security (Eds: Prasand S. Thenkabail, John G. Lyon, Hugh Turral and Chandrashekhar M. Biradar), Tylor and Francis Series in Remote sensing Applications (Book Series Editor: Qihao Weng), CRC Press, London, pp 41-120.
    23. Maji, A.K., Singh, R.S. and Shyampura, R.L. (2008). Soil quality and land degradation in the Western India. Natural Resources management for Sustainable Development in Western India. (Ed. Prasad et al) Allied Publishers Private Limited New Delhi. P 30-33.
    24. Obi Reddy, G. P. Maji A. K. and Gajbhiye, K. S. (2008). Role of Geoinformatics in Micro-level Planning for Natural Resources and Environmental Management, Geoinformatics for Decentralized Planning and Governance (Edited by M. S. Nathawat and A. C. Pandey). 1st ed. Jaipur, Rawat Publications, 2008. xiv, 448 p. ills. maps. 22 cm, ISBN: 813160117X KK-66051.
    25. Maji, A.K. (2006). Computer simulated model for selection of aquaculture sites in bio-informatics and statistics in fisheries research. Vol.II, CIFA Publication, Bhubaneshwar.
    26. Obi Reddy, G.P., Maji, A.K., Thayalan, S. And Ramamurthy, V. (2005). Land transformation processes and issues for geographical research – scope of remote sensing and GIS applications. BSP publications, Hyderabad, India, (Eds; N.C. Gautam and V. Raghava Swamy), pp: 41-58.
    27. Chakraborty, S., Ghosh, R., Ghosh, M., Maji, A.K., White, N., Farnandes, C.D., Charchar, M.J., Ramesh, C.R. and Kelemu, S. (2004). Weather dependency of Anthracnose and risk mapping in high yielding Anthracnose-Resistant stylosanthes for agricultural systems. Ed. S. Chakraborty. Australian Centre for International Agricultural Research, Monograph No. 111. p. 203-210.
    28. Maji, A.K. (2003). Citriculture Management Information System (CMIS) in Geographical Information System. Advances in Citriculture.(Eds. Shyam Singh, V.J. Sivankar, A.K. Srivastava and I.P. Singh), Jagmandar Book Agency, New Delhi.
    29. Maji, A.K. (2003). Citriculture Management Information System (CMIS) in Geographical Information System. Advances in Citriculture.(Eds. Shyam Singh, V.J. Sivankar, A.K. Srivastava and I.P. Singh), Jagmandar Book Agency, New Delhi.
    30. Maji, A.K. and Obi Reddy, G.P. (2003). Geoinformatics for Natural Resources and Environmental Management at Watershed level for Sustainable Development. Contemporary issues in Natural Resources Management, Mittal Publications, New Delhi.
    31. Obi Reddy, G.P., Maji, A.K. and Gajbhiye, K.S. (2003). Analysis of Landforms, soil and Land use/land cover Relationship in Metamorphic Landscape using Remote sensing and GIS. Resource Conservation and Food Security, Vol.II, (Ed. Tapeshper Singh), Concept Publishing Company, New Delhi, p.555- 564.
    32. Obi Reddy, G.P., Maji, A.K., Krishna, N.D.R., Srinivas, C.V. and Velayutham, M. (2001). Integrated Remote Sensing and GIS Approach for Delineation of Groundwater Potential zones and Identification of sites for Artificial recharge - A case study, Spatial Information Technology: Remote sensing and Geographical Information Systems (Ed. I.V. Muralikrishna) BS Publications, Vol (I), pp.649-658.
    33. Srinivas, C.V., Vittal Murthy, K.P.R., Krishna Murthy, Y.V.N., Krishna, N.D.R. and Obi Reddy, G.P. (2001). Land surface climatic parameters over Maharashtra derived from NOAA AVHRR, Spatial Information Technology: Remote sensing and Geographical Information Systems (Ed. I.V. Muralikrishna) BS Publications, Vol (II), pp.306-311.
    34. Srinivas, C.V., Vittal Murthy, K.P.R., Krishna Murthy, Y.V.N., Maji, A.K., Krishna, N.D.R. and Obi Reddy, G.P. (2001). Evaluation of growing period over Maharashtra in GIS and its validation using NDVI derived from NOAA AVHRR, Spatial Information Technology: Remote sensing and Geographical Information Systems (Ed. I.V. Muralikrishna) BS Publications, Vol (II), pp.460-466.
    35. Sidhu, G.S., Maji, A.K., Kandpal, B.K., Pande, S. and Velayutham, M. (2000). Analysis of constraints and potential of the soils of the Indo-Gangetic plains of Punjab. In GIS Application in Cropping System Analysis - Case Studied in Asia. eds. Pande, S., Maji, A.K., Johansen, C. and Bantilan F.T. Jr., ICRISAT Publication, Pattancheru, A.P., India.
    36. Maji, A.K., Pandey, S., Velayutham, M. and Ahmed, M.I. (2000). Changes in wheat productivity in the Indo-Gangetic plains of India. In GIS Application in Cropping System Analysis - Case Studied in Asia. (Eds. Pande, S., Maji, A.K., Johansen, C. and Bantilan F.T. Jr.). ICRISAT Publication, Pattancheru, A.P., India.
    37. Bantilan, F.T. Jr., Ahmed, I. and Maji, A.K. (2000). Spatial and attribute database in GIS and their processing. In GIS Application in Cropping System Analysis - Case Studied in Asia. eds. Pande, S., Maji, A.K., Johansen, C. and Bantilan F.T. Jr., ICRISAT Publication, Pattancheru, A.P., India.
    38. Bantilan, F.T. Jr., Ahmed, M.I. and Maji, A.K. (2000). Spatial and attribute database in GIS and their processing. In GIS Application in Cropping System Analysis - Case Studied in Asia. (Eds. Pande, S., Maji, A.K., Johansen, C. and Bantilan F.T. Jr.) ICRISAT Publication, Pattancheru, A.P., India.
    39. Bantilan, F.T. Jr., Maji, A.K. and Ahmed, M.I. (2000). Fundamental aspects of GIS. In GIS Application in Cropping System Analysis - Case Studied in Asia. (Eds. Pande, S., Maji, A.K., Johansen, C. and Bantilan F.T. Jr.). ICRISAT Publication, Pattancheru, A.P., India.
    40. Bantilan, F.T. Jr., Maji, A.K. and Ahmed, M.I. (2000). Fundamental aspects of GIS. In GIS Application in Cropping System Analysis - Case Studied in Asia. eds. Pande, S., Maji, A.K., Johansen, C. and Bantilan F.T. Jr., ICRISAT Publication, Pattancheru, A.P., India.
    41. Maji, A.K. (1999). Software in use at NBSS&LUP. In “GIS Analysis of Cropping Systems”, Proceedings of an International Workshop on Harmonization of Databases for GIS Analysis of Cropping Systems in the Asia Region, 18-19 Aug. 1997, ICRISAT-Patancheru, India.
    42. Maji, A.K. and M. Velayutham (1999). Real life problems in developing a land-use plan using computerized systems. In “GIS Analysis of Cropping Systems”, Proceedings of an International Workshop on Harmonization of Databases for GIS Analysis of Cropping Systems in the Asia Region, 18-19 Aug. 1997, ICRISAT-Patancheru, India.
    43. Maji, A.K., Krishna, N.D.R., Subramanian, R. and Sehgal, J. (1996). Soil Information Dessimination using GIS for District Level Planning.Informatics for Sustainable Agricultural Development. NIC Publ., New Delhi.
    44. Sehgal, J., Challa, O., Thampi, C.J. Maji, A.K. and Nagabhushana, S.R. (1996). Red and Lateritic Soils of India In "Red and Lateritic Soils of the World" Vol: 2. Oxford IBH Publ, N. Delhi.


     

    Cartography Lab - RSA Division

    • Natural Resource Atlas of the Indo-Gangetic Plains, India March, 2005
    • Bioclimatic Analysis of India (1982) Bull. No. 7
    • Agro-climatic Environments and Moisture Regimes in NW-I Bull. No. 17
    • Agro-Ecological Zones of India (5th Approx) (1989) Bull No
    • The soils of Anantnag and part of Pulwama district (Janak) No. 26
    • India-growing period for crop planning (1993) Bull No. 39
    • Soil climatic data base for crop planning and development No
    • Agro-ecological sub-regions of India (1999) Bull No
    • The suitabilities of Vertisols and associated soil for improving system in Central India (1991) Bull. No. 30

    Soil Maps Published (1:250,000)

    Sr. No. State/UT No. of sheets
    1. Arunachal Pradesh 2
    2. Assam 2
    3. Bihar (including Jharkhand) 4
    4. Goa 2
    5. Gujarat 4
    6. Haryana 2
    7. Himachal Pradesh 2
    8. Jammu & Kashmir 4
    9. Karnataka 4
    10. Kerala 2
    11. Madhya Pradesh (incl. Chhattisgarh) 9
    12. Maharashtra 6
    13. Manipur 1
    14. Meghalaya 1
    15. Punjab 2
    16. Rajasthan 6
    17 Tamil Nadu 4
    .18. Tripura 2
    19. West Bengal 4
    20. Andhra Pradesh 6
    21. Sikkim 4
    22. Uttar Pradesh(including Uttrakhand) 6
    23. Nagaland 1
    24. Mizoram 1
    25. Orissa 4

    Soil erosion Maps of states (scale 1:1 m) Maharashtra, Gujarat, Tripura, Rajasthan, Chhattisgarh, Madhya Pradesh, Andhra Pradesh, West Bengal, Assam, Karnataka, Kerala, Tamil Nadu.

    District soil resource atlas

    Nagpur (1994)
    Bhopal (1999)
    Guna (2000)
    Betul (2000)
    Dhar (2001)
    Ratlam (2002)
    Chhindwara (2003)
    Jagdalpur (2004)
    Bilaspur (2002)
    Jorhat (2004)
    Wardha (2005)

    Research Paper Published

    1. Mandal, D.K. and Mandal, C. (1990). Estimation of net irrigation requirement of wheat (Triticum aestivum) through water balance in West Bengal. Indian J. Agri. Sci. 60: 272-274.
    2. Challa, O., Mandal, D.K. and Roy Chowdhury, C. (1991). Estimated plant available water capacity (PAWC) in some swell shrink soils of Dadra and Nagar Haveli. Indian J. Landscape Systems and Ecological Studies, 13: 112-114.
    3. Mandal, D.K., Mandal, C. and Challa, V.S. (1991). Comparison of Penman and Hargreaves Eto under different climatic conditions in India. Geogr. Rev. of India 53: 26-28
    4. Bhattacharyya, T., Mandal C. and Deshmukh S.N. (1992). Soils and landuse pattern in part of Western Maharashtra. J. Indian Soc. of Soil Sci. 40: 13-42
    5. Mandal, C., and Kolte, K.T. (1994). Bio-climatic regions of Vidarbha: A review of water balance. Geographical Review of India, 56: 27-33.
    6. Mandal, C. and Kolte, K.T. (1995). Agro-ecological zones – A case study of Vidarbha. Geographical Review of India, 57: 336-344.
    7. Mandal, D.K. and Mandal, C. (1995). Agro-climatic classification of rice growing environments of eastern India. J. Indian Soc. of Soils Sci. 43: 418-427.
    8. Mandal, C. and Mandal, D.K. (1996). Qualitative assessment of soil erosion from soil survey data – A case study of Nagpur district – Geographical Note. Geographical Review of India, 58: 77-81.
    9. Mandal, C., Mandal D.K. and Srinivas, C.V. (1996). Defining climatic map of India following FAO growing period concept. Geogr.Rev. of India, 58: 243-250
    10. Mandal, C. and Mandal, D.K. (1997). Qualitative assessment of soil sustainability from soil survey data – a case study for Nagpur district. J. Indian Soc. of Soil Sci.,45: 325-329
    11. Mandal, C., Mandal, D.K. and Srinivas, C.V. (1996). Defining climatic map of India following FAO growing period concept. Geographical Review of India, 58: 77-81.
    12. Mandal, C. and Mandal, D.K. (1997). Use of length of growing period – Concept in Agro-ecological zones – Delineation and crop planning under Indian perspective. Geog. Rev. of India, 59: 320-329
    13. Mandal, C., Mandal, D.K. and Yadav, S.C. (1997). Land capability and land use of Nagpur district. Geogr Rev. of India, 59: 41-46
    14. Bhattacharyya, T, Sarkar, D, Gangopadhyay, S.K., Dubey, P.N., Baruah, U. Chamuah, G.S., Mukhopadhyay, S. , Nayak, D.C., Maji, A.K., Saxena, R.K., Barthwal, A.K., Krishna, N.D.R., Mandal, C.,, Sehgal, J.L., Bhowmick, K.R., Sinha, L. Chakraborty, S., Nandi, Mazumdar, S., Pal, D.K., Krishna Kumar, A.K. and Sethurog, A.K. Soils of Tripura-I Characterisation and classification. Agropedology, 8: 55-60
    15. Bhattacharyya, T, Sarkar, D, Gangopadhyay, S.K., Dubey, P.N., Baruah, U. Chamuah, g.S., Mukhopadhyay, S. , Nayak, D.C., Maji, A.K., Saxena, R.K., Barthwal, A.K., Krishna, N.D.R., Mandal, C.,, Sehgal, J.L., Bhowmick, K.R., Sinha, L. Chakraborty, S., Nandi, Mazumdar, S., Pal, D.K., Krishna Kumar, A.K. and Sethurog, A.K. Soils of Tripura-II: Suitability for Rubber. Agropedology, 8: 55-60
    16. Sidhu, G.S., Kandpal, B.K. and Mandal, C. (1998). Evaluation of soils of Jalgaon district, Maharashtra state for cotton (Gossypium hirsutum) cultivation. Indian J. agric. Sc., 68: 607-610
    17. Mandal, C. and Mandal, D.K. (1999). Agro- demographic zones of high rainfall regions of Eastern India. Journal of Agrl. Situation in India 54:675-680
    18. Velayutham, M., Mandal, D.K. Mandal, C. (1999). Agro-ecological delineation for promoting sustainable agriculture. J. Soil Wat. Conser. India. 4:1-26
    19. Mandal, C., Mandal, D.K. and Srinivas, C. (2000). Agroclimatic classification of sorghum growing areas of India. J. Indian Soc. Soil Sci. 48:151-159
    20. Bhattacharyya, T., Pal, D.K. Mandal, C. and Velayutham, M. (2000). Organic carbon stock in Indian soils and their geographical distribution. Current Science. 79(5):655-660
    21. Mandal, D.K., Khandare, N.C., Mandal, C. (2002). Delineation of Sorghum Suitable Areas of Nagpur District. Geographical Review of India, 64:174-182
    22. Mandal,D.K..,Khandare N.C.,Mandal, C and O. Challa (2002). Assessment of quantitative land evaluation methods and suitability mapping for cotton growing soils of Nagpur Distt. J.Indian Soc. Soil Sci 50(1):74-80
    23. Mandal, D K,Khandare,N C Mandal,C. and O. Challa (2003). Water use Efficiency of cotton as influenced by Agro-environment. J. Indian Soc. Soil Sci 51(1): 17-22
    24. Mandal D.K,Khandare,N.C., Mandal,C. and O. Challa (2003). Water use Efficiency of Sorghum (sorghum bicolor) in catenary soils as influenced by varying rainfall. J. Indian Soc. Soil. Sci. 51(3):223-228
    25. Mandal, D.K., Khandare, N.C., Mandal, C. and Challa, O. (2004). Soil survey database and rainfed cotton performance in catenary soils in Central India. J. Indian Soc. Soil Sci. 53(1):29-34.
    26. Mandal, D.K., Mandal, C. , Challa, O. and Jagdish Prasad (2006). Development of Land Quality Index from Edaphological data- A case study in shrink-swell soils in Central India. Agropedology 16(2): 42-45.
    27. Bhattacharyya, T., Chandran P., Ray, S.K., Pal, D.K., Venugopalan, M.V., Mandal, C. and Wani, S.P. (2007). Changes in levels of carbon in soils over years of two important food production zones in India. Current Science 93(2):1854-1863.
    28. Bhattacharyya, T., Chandran P., Ray, S.K.,Pal, D.K., Venugpalan, M.V., Mandal, C. Wani, S.P., Manna, M.C. and Ramesh V. (2007). Carbon sequestration in red and black soils I. Influence of morphological properties. Agropedology 17:1-15.
    29. Bhattacharyya, T. Chandran, P., Ray, S.K., Pal. D.K., Venugopalan, M.V., Mandal, C., Wani, S.P., Manna, M.C, and Ramesh, V. (2007). Carbon sequestration in red and black soils II. Influence of physical and chemical properties. Agropedology 17:16-25.
    30. Bhattacharyya, T. Chandran, P., Ray, S.K., Pal. D.K., Venugopalan, M.V., Mandal, C., Wani, S.P., Manna, M.C, and Ramesh, V. (2007). Carbon sequestration in red and black soils III. Identifying systems through carbon stock and bulk density of soils. Agropedology 17:26-34.
    31. Bhattacharyya, T., Pal, D.K., Chandran, P. Ray, S.K., Durge, S.L., Mandal, C., Telpande, B. (2007). Available K reserve of two major crops growing regions (alluvial and shrink-swell soils) in India. Indian Journal of Fertilizers 3: 41-46, 49-52.
    32. Bhattacharyya, T. Ram Babu, Sarkar, D., Mandal, C. Dhyani, B.L. and Nagar, A.P. (2007). Soil loss and crop productivity model in humid subtropical India. Current Science 93(10):1397-1403.
    33. Mandal, C. Mandal, D.K. and Gharami, S.C. (2007). Rehabilitation of Tribals in the forest- A case study of Madhya Pradesh. Geo. Rev. of India 69(3):317-325
    34. Mandal, D.K., Mandal, C. and Sujatha, M. (2008). Agro-environments for Waigaon Haldi of Vidarbha. Spice India 21(4): 18-20.

    International Journal

    1. Mandal, D.K., Mandal, C. and Velayutham, M. (2001). Development of land quality index for sorghum in Indian semi-arid tropics (SAT). Agricultural Systems:70 335-350
    2. Mandal, D.K., Mandal, C. and Venugopoalan (2005). Suitability of cotton cultivation in shrink swell soils in central India. Agricultural Systems: 84 55-75
    3. Bhattacharyya, T. Pal, D.K., Easter, M. Batjes, N.H., Milne, E., Gajbhiye, K.S., Chandran, P. Ray, S.K., Mandal, C., Paustian, K. Williams, S.,Killian, K. Coleman, K. Faloon, P. and Powlson, D.S. (2007). Modelled soil organic carbon stocks an changes in the Indo-Gangetic Plains, India from 1980 to 2030. Agriculture Ecosystems and Environment 122: 84-94.
    4. Bhattacharyya, T. Pal, D.K., Easter, M. Willliams, S. Paustian,K. Milne, E., Chandran,P. Ray, S.K., Mandal, C., Coleman, K., Faloon P, Powlson, D.S. and Gajbhiye, K.S. (2007). Evaluating the century C model using long term fertilizer trials in the Indo-Gangetic Plains, India. Agriculture Ecosystems and Environment 122: 73-83.

    Research Bulletins

    1. NBSS&LUP (1990). The soils of Anantnag and part of Pulwana districts (Jammu & Kashmir_ for Land Use Planning, NBSS Publ.26, 62p.+7 maps.
    2. NBSS & LUP (1991). The suitabilities of vertisols and associated soils for improved cropping systems in India, Bulletin No. 30, NBSS & LUP and ICRISAT.
    3. Sehgal, J. Mandal, D.K. Mandal, C. and Vadivelu, S. (1992). Agro ecological regions of India 2nd ed., NBSS Publ. No.24, 130 p. + 1 coloured map.
    4. Sehgal, J., Mandal, D.K., Mandal, C. and Yadav, S.S. (1993). India - Growing period for crop planning NBSS Publ. 39, 5 p. + 5 folded maps.
    5. Sehgal, J., Mandal, C., Singh, S.R., Chaturvedi, A., Vadivelu, S., Yadav, S.C., Pofali, R.M., Singh, A.M.P. (1994). Land Resource Atlas of Nagpur district, NBSS Publ. 22, 75 p. + App. 4 p.
    6. Velayutham, M., Mandal, D.K., Mandal, C. and Sehgal, J. (1999). Agro-ecological subregions of India for planning and development, NBSS Publ. 35, 452p. + 1 coloured map.
    7. Mandal, C., Mandal, D.K., Srinivas, C.V., Sehgal, J. and Velayutham, M. (1999). Soil climatic database for crop planning in India, NBSS Publ. 53, 994p.
    8. Bhattaharyya, T. Chandran, P. Ray, S.K. Mandal, C., Pal, D.K., Venugopalan, Durge, M.V., Srivastava, P., Dubey, P.N., Kamble, G.k. and Shama, R.P., Wani, S.P. , Rego, T.J. , Ramesh, V. Pathak, P., Manna, M.C. and Sahrawat, K.L. (2007). Physical & Chemical Properties of Red and Black Soils of Selected Benchmark Spots in Semi-Arid Tropics, India. Global Theme on Agroecosystems Report No. 35. Patancheru 502 324, Andhra Pradesh India: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), and New Delhi, India: Indian Council of Agricultural Research (ICAR), 236 pp.
    9. Bhattacharyya, T., Velayutham, M., Pal, D.K., Chandran, P., Ray, S.K. and Mandal, C. (2007). Total carbon stock in Indian soils, Final Project Report, NBSS & LUP (ICAR), India. 199 pp.

    Chapter Contributed to Books

    1. Mandal, C. and Mandal, D.K. (2001), Agro-Climatic Data–base for Geographical Research in Agriculture in Environment and Development Edited by Rabindranath Bhattacharyya published by Geographical Society of India, Kolkata, pp 138-170.

    Popular Articles

    1. Mandal, D.K. Mandal, C. (1994). Profile of Andaman and Nicobar Island's ecosystem. Lokmat Times, April, 27.
    2. Mandal, D.K. and Mandal, C. (1995). Conserving soils for posterity, The Hitavada, Sunday Despatch, Dec. 24.
    3. Mandal, D.K. and Mandal, C. (1996). The need for coastal management, Lokmat Times, May, 22.
    4. Mandal, D.K. and Mandal, C. (1997) Global warming and organic Carbon, Lokmat Times, Jan. 22.
    5. Mandal, C. and Mandal, D.K. (2000). "Conserving Nagpur soils for sustainability". Zero-mile – status of Nagpur Environment, Souvenir – 21st Indian Geography Congress
    6. Mandal, D.K. and Mandal C. (2006). Agri-diversification, today’s buzzword. Green Hope.
    7. Mandal, D.K. and Manal, C. (2007). SEZ the dragon on our food land. Green Hope 14-16.
    8. Mandal, D.K. and Mandal, C., (2008) Towards Increasing Rice Production. Green Hope, march, 2008, pp. 32-35.
    9. Mandal, D.K., Goswami, S.N., Mandal, C. and Khandare, N.C. (2009). "Managing Methane Emission from Cattle Population in Maharashtra". Green Hope, 16-18.

    Other Reports

    1. Status of Farm Mechanization in India (2006). Study relating to formulating long term mechnisation strategy for agroclimatic zone/state. Status paper on agro-ecological zones, their soil resource and cropping. K.S. Gajbhiye ad C. Mandal.
    2. Bhattacharyya, T., Chandran, P. Ray, S.K., Mandal, C., Pal, D.K., Venugopalan, M.V., Durge, S.L., Srivastava, P., Dubey, P.N., Kamble, G.K., Sharma, R.P., Wani, S.P., Rego, T.J., Ramesh, V. an Manna, M.C. (2006). Description of newly added crop database and modified crop files: Indo-Gangetic plains, India case study. Special publication of GEFSOC Project “Assessment of Soil Organic Carbon Stocks an Change at National Scale”. NBSS & LUP, India. P. 196.
    3. Bhattacharyya, T., Chandran, P. Ray, S.K., Mandal, C., Pal, D.K., Venugopalan, M.V., Durge, S.L., Srivastava, P., Dubey, P.N., Kamble, G.K., Sharma, R.P., Wani, S.P., Rego, T.J., Ramesh, V. an Manna, M.C. (2006). Estimation of Carbon Stocks in Red and Black Soils of Selected Benchmark Spots in Semi-arid Tropics of India. Global theme on Agroecosystems, Report No. 28, International Crops Research Institute for Semi-Arid Tropics, Patancheu, Andhra Pradesh
    4. Bhattacharyya, T., Chandran, P. Ray, S.K., Mandal, C., Pal, D.K., Venugopalan, M.V., Durge, S.L., Srivastava, P., Dubey, P.N., Kamble, G.K., Sharma, R.P., Wani, S.P., Rego, T.J., Ramesh, V. an Manna, M.C. (2006). Morphological properties of red and black soils of selected benchmark spots in semi arid tropics of India. Global theme on Agroecosystems, Report No. 28, International Crops Research Institute for Semi-Arid Tropics, Patancheru, Andhra Pradesh
    5. Challa, O. and Mandal C. (2006). Soil resource based land use of Jalna district, Maharashtra. NBSS Publ. 122; NBSS&LUP, Nagpur 1555.
    6. Chandran, P., Ray, S.K., Durge, S.L., Nimkar, A.M., Raja, P. Bhattacharyya, T. Telpande, B., Mandal, C., Gharami, S. Sahu, V.T., Mogare, S.M., Vinchurkar, V. and Pal, D.K. (2006). Soils of Gunegal Research Farm of CRIDA (Hyderabad), Rangareddy (Dist). Andhra Pradesh. Technical Report No. 948. Division of Soil Resource Studies, NBSS & LUP (ICAR), India p. 164.

    Publication of Maps

    Soil Maps

    1. Red and lateritic soils of India in 1993
    2. Soil moisture regimes of India in 1993
    3. Soil temperature of India in 1994
    4. Soil Map of India (1:1000,000) Printed in 11 sheets at sub group association, NBSS & LUP (2002)
    5. Soil Loss Maps of States (1:1 m): Maharashtra, Madhya Pradesh, Rajasthan, Gujarat, Chhattisgarh, Andhra Pradesh, Karnataka, Tamil Nadu, Kerala, Tripura, Assam and West Bengal, NBSS & LUP Publication in collaboration with CSWRCTI, Dehradun.

    Thematic Maps Generated

    1. Sehgal, J. Mandal, D.K., Mandal, C. and Vadivelu, S. (1992). Agro ecological regions of India. NBSS & LUP, ICAR. Nagpur.
    2. Sehgal, J., Mandal, D.K. and Mandal, C. (1999). Agroecological subregions of India, NBSS&LUP.

    Publication of Atlases

    1. Tamgadge, D.B., Gajbhiye, K.S. Mandal, C., Velayutham, M. and Kaushal, G.S. (1999). Soil resource atlas of Bhopal district. Madhya Pradesh. NBSS Publ. 77. NBSS&LUP. Nagpur.103p.
    2. D.B. Tamgadge. K.S. Gajbhiye. C. Mandal.. M. Velayutham and G.S. Kaushal (2001) Soil Resource Atlas of Guna distsrict. NBSS Publ. No.80 pp.93.
    3. D.B .Tamgadge. K.S. Gajbhiye. C. Mandal. M. Velayutham and G.S. Kaushal (2001) Soil Resource Atlas of Betul distsrict. NBSS Publ. No.86 pp 96.
    4. D.B. Tamgadge. K.S. Gajbhiye. C. Mandal.. M. Velayutham and G.S. Kaushal (2001) Soil Resource Atlas of Dhar distsrict. NBSS Publ. No.90 pp.93
    5. D.B. Tamgadge, K.S. Gajbhiye, C. Mandal and G.S. Kaushal (2002). Soil resource Atlas of Ratlam district NBSS Publ. No. 93
    6. D.B. Tamgadge, K.S. Gajbhiye, C. Mandal and G.S. Kaushal (2002). Soil resource Atlas of Bilaspur district(Chhattisgarh) NBSS Publ. No. 95
    7. D.B. Tamgadge, K.S. Gajbhiye, C. Mandal and G.S. Kaushal (2002). Soil resource Atlas of Chhindwara district (MP) NBSS Publ. No. 100
    8. Vadivelu, S., Baruah, Utpal, Bhaskar, B.P. Mandal, C., G.S. Kaushal, Sarkar, Dipak, Walia, C.S. and Gajbhiye, K.S. (2004). Soil resource Atlas of Jorhat district (Assam), NBSS Publ. No. 107 pp73
    9. D.B. Tamgadge, K.S. Gajbhiye, C. Mandal and G.S. Kaushal (2002). Soil resource Atlas of Jagdalpur district (Chhattisgarh), NBSS Publ. No. 104
    10. J.P. Sharma, K.S. Gajbhiye, C. Mandal, A.K. Sinha (2005) Soils Resource Atlas of Wardha district, Maharashtra NBSS Pub. 116, pp 106.
    11. Directorate of Seed Research Institute (ICAR), Seed Atlas of India (2008).
     
     
     
    Awards, Honors / Recognitions

     

    Important Awards, Honors/Recognitions

     

    1.    Dr. Rajeev Srivastava was conferred the “FELLOW OF THE SOCIETY” for his outstanding contributions in the fields of “Application of Remote Sensing in Resource Inventory” by the Indian Society of Soil Survey and Land Use Planning (ISSLUP), ICAR-NBSS & LUP Campus, Nagpur on 10th November 2016.

    2.     Dr. Rajeev Srivastava, Principal Scientist and Head and Dr. M.S.S. Nagaraju, Principal Scientist received ‘The ISSS-Dr. J.S.P. Yadav Memorial Award for Excellence in Soil Science” at 80th Annual Convention of the Society held on 5th December, 2015 at Bengaluru.

    3.     G.P. Obi Reddy, Pr. Scientist received ‘National Geospatial Award for Excellence-2013, from Indian Society of Remote Sensing (ISRS) in ISPRS TC VIII Mid-term Symposium on “Operational Remote Sensing Applications, Opportunities, Progress and Challenges” held at Hyderabad during 9-12 December, 2014.

     

     

    Awards, Honors/Recognitions

     

    1.     Second Best Poster Presentation Award, M. K. Vishal, G.P. Obi Reddy, Nirmal Kumar, R.S. Mehta, O.P. Aishwath and R. Singh (2017). Delineating the important seed spices growing areas and their AESR for Rajasthan and a discussion on past climate scenarios, Book of lead papers and abstracts for National Seminar on ‘Seed Spices for Enhancing Farmers Prosperity and Livelihood Security’, January, 21-22, 2017, ICAR-NRCC, Ajmer.

    2.      G.P. Obi Reddy, recognised as a Member, Editorial Board, Agropedology, published by ISSLUP -2017-18

    3.      Dr. M.S.S. Nagaraju was elected as Secretary, Indian Society of Soil Survey and Land Use Planning, Nagpur on 21.3.17.

    4.    Dr. Rajeev Srivastava was conferred the “FELLOW OF THE SOCIETY” for his outstanding contributions in the fields of “Application of Remote Sensing in Resource Inventory” by the Indian Society of Soil Survey and Land Use Planning (ISSLUP), ICAR-NBSS & LUP Campus, Nagpur on 10th November 2016.

    5.      Best Poster Award, Arijit Barman, Rajeev Srivastava, Yagani Sinha, Ashim Datta, R.A. Nasre, D.S. Mohekar, Madhurama Sethi and R.K. Yadav  (2016).  Modelling salinity effects based on soil reflectance using VNIR of salt affected soils of Haryana, India. This paper presented at International Conference on “Integrated Land Use Planning for Smart Agriculture” held at ICAR-NBSS&LUP, Nagpur during 10-13 November, 2016.

    6.      G.P. Obi Reddy, recognised as a Member, Editorial Board, International Journal of Applied Geospatial Research-2016 onwards

    7.      Best Poster Presentation Award:M. K. Vishal, R.S. Mehta, O.P. Aishwath, Ravindra Singh, Balraj Singh, G.P. Obi Reddy  and Nirmal Kumar (2015). Cumin as a major cash crop is boon for Arid and Semi-Arid regions of India: A livelihood prospective, Presented at National Seminar on “Sustainable Management of Land Resources for Livelihood Security” held during January 28-30 at NBSS&LUP, Nagpur.

    8.      Best Poster Presentation Award:S. Chattaraj, S.K. Ray, V. Ramamurthy, G.P. Obi Reddy, S. Chatterji, R. Srivastava, A.K. Barthwal, A. Daripa and S.K. Singh (2015). A Time Efficient Approach for Large Scale Land Resource Inventory under the Framework of Latest Geospatial Techniques, Presented at National Seminar on “Sustainable Management of Land Resources for Livelihood Security” held during January 28-30 at NBSS&LUP, Nagpur.

    9.     Second best Poster Presentation Award:M.K. Vishal, R.S. Mehta, Ravinder Singh,O.P. Aishwath,G. Lal,G.P.Obi Reddy, Nirmal Kumar and A.K. Yadav (2015). Assam and Meghalayaas potential coriander producing area in North-East States, Presented at National Seminar on “Hi-tech Horticulture for Enhancing productivity, Quality and Rural Prosperity held at NRCCS, Ajmer, Rajasthan during January 19-20, 2015, p.217

    10.     Dr (Mrs) Nisha Sahureceived the Bharat Jyoti Award by India International Friendship Society, New Delhi.

    11.     Dr. Rajeev Srivastava, Principal Scientist and Head and Dr. M.S.S. Nagaraju, Principal Scientist received ‘The ISSS-Dr. J.S.P. Yadav Memorial Award for Excellence in Soil Science” at 80th Annual Convention of the Society held on 5th December, 2015 at Bengaluru.

    12.    Dr. M.S.S. Nagaraju was acted as Chairman, Evaluation Committee of Best Posters at State-level Seminar on “Soil and Water Quality: A Concern” organized by Akola Chapter of ISSS at Akola from 2-3 November, 2015.

    13.    Dr. M.S.S. Nagaraju was acted as Co-Chairman, Technical Session-IV on “Land Degradation, Watershed Management and Nutrient Management” at State-level Seminar on “Soil and Water Quality: A Concern” organized by Akola Chapter of ISSS at Akola from 2-3 November, 2015.

    14.    Dr. G.P. Obi Reddy has been nominated by ICAR New Delhi as Co-Cordinator for monitoring the activities of Space Technology Applications in Agriculture Research (STAAR) Cell located at IASRI, New Delhi, Sept, 2015 onwards.

    15.     Dr. G.P. Obi Reddy recognized as resource person for evaluation of M.Sc. Thesis in the field of Geoinformatics from TNAU, Tamil Nadu during the month of June, 2015.

    16.     G.P. Obi Reddy, recognised as a Member, Editorial Board, International Journal of Remote Sensing Applications-2015 onwards

    17.     Dr. G.P. Obi Reddy recognized as resource person for evaluation of project proposals submitted to NRDMS (DST) and Ministry of Enviornment and Forestry (MOEF).

    18.     G.P. Obi Reddy, was acted as a Hony. Secretary, Indian Society of Soil Survey and Land Use Planning (ISSLUP), Nagpur for the year 2014-16.

    19.     G.P. Obi Reddy, was acted as a Member, Institute Management Council (IMC), IISS, Bhopal, from Aug. 2011-Aug. 2014

    20.   G.P. Obi Reddy, Pr. Scientist received ‘National Geospatial Award for Excellence-2013, from Indian Society of Remote Sensing (ISRS) in ISPRS TC VIII Mid-term Symposium on “Operational Remote Sensing Applications, Opportunities, Progress and Challenges” held at Hyderabad during 9-12 December, 2014.

    21.    G.P. Obi Reddy, was acted as a Member, Technical Committee, 3rd National Conference on Agro-informatics, IIIT, HYD, 2012.

     

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