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.
|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 Scienceemail@example.com||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.||firstname.lastname@example.org||View Biodata||PMS|
|Shri Benukantha Dash||Scientist||L&WME||Benukantha.Dash@icar.gov.in||View Biodata||PMS|
|Shri Sunil B.H.||Scientist||Soil Scienceemail@example.com||View Biodata||PMS|
The Division of Remote Sensing Applications has the following laboratories:
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.
Externally Funded Projects
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).
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.
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.
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.
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.