GIS

About the Section

 

Over the past two decades, growing demands on resource information and fast changes in information technology have opened new vistas for computerization of soil information and its storage, management and dissemination. Keeping in tune to this new era, the NBSS&LUP has emerged as a pioneer user of Geographic Information System (GIS) to manage the soil resource data as early as in 1989. As first step of activities, the scientists of NBSS&LUP were trained in U.K. and U.S.A. A modest PC based GIS was installed with SPANS ver.3 software as a research aid from ODNRI, UK. During this period, the Soil Resource Mapping project was in operation and data on soil resources were generated at various regional centers. Data were collected at 10 km. Grid points. These spatial and non-spatial data were provided to the GIS lab for storage, analysis and retrieval. This was the beginning of database creation for soil resource management. In course of time GIS laboratory kept upgrading the hardware and software depending on the changing needs of the institute and developments in the GIS world.

 

Mandate

 
  • Applied research in application of GIS in soils
  • Generation of spatial soil resource database and thematic mapping at different scales
  • Integration of different thematic databases to generate land use plans
  • Post-graduate teaching and research
  • Human resource development through trainings in GIS
  • Consultancy services
 

List of Scientists

 
Name Designation Discipline E-mail
Dr. G. P. Obi Reddy Pr. Scientist & Incharge Geography obireddy@nbsslup.ernet.in View Biodata
Sh. Nirmal Kumar Scientist Agril. Physics nirmalkumar@nbsslup.ernet.in View Biodata
Dr.(Ms) Nisha Sahu Scientist Soil Science nishasahu5@gmail.com View Biodata
 

Infrastructure

 
  • GIS Section has setup with state of art modern hardware and software infrastructure. The major GIS hardware facilities available in the laboratory are high-end computers, A0 size high-resolution scanner, Design Jet plotter, Colour laser printer and GPS.
  • The major GIS and Image analysis software's are available in the laboratory are SPANS ver. 7.0, AGROMA ver. 7.0, PAMAP ver 5.0, IDRISI ver. 2.0, ERDAS Imagine ver. 9.3, ER Mapper ver. 7.2, Arc GIS Desktop ver. 10, Geomatica ver. 10.0.1, ecognition ver. 8.7 and TNT mips ver. 7.7 and ScanEX ver. 3.0, Software’s like Adobe Photoshop and Coral Ventura are being used for reports generation.

 

Achievement (Project completed with very brief note)

 

Institute projects

  1. Design & development of spatial soil database & their analysis in GIS
    The GIS based spatial soil resource database at 1:250,000 scale of all the states in the country has been developed. States for which soil information was generated earlier on 1: 500,000 scale were re-digitized on toposheet basis (1:250,000 scale) to create parity of soil resource database in GIS. In this major effort soil resource database has been developed for about 490 toposheets covering 27 states of India. Besides, soil information at state level, the district level information on soil and related data is very important for agriculture planning. Various soils based thematic maps have been generated for the selected districts. The source of database comprises the digitized soil and attributes data of SRM, which were generated in GIS for about 12 districts in the country.

  2. Delineation of Productivity Efficiency Zones in Different Agro-Ecological Zones
    Agro-ecological sub-region based crop planning considers the soil, site and climatic resources and constraints on one end and socio-economic aspects on the other. Crop efficiency zones were delineated in each AESR of semi-arid and subhumid ecosystems based on spread and yield of different crops grown in a zone. The mapping and analysis for efficiency zoning was carried in GIS using district level secondary information of crops (area and yield). The data base of crop sown area for rice, maize, ragi, sugarcane, gram, wheat, groundnut, maize, pigeonpea, cotton and sorghum at district level were generated and considered for analysis.

  3. Generation of Soil Resource Atlas of Chhattisgarh State
    The generated soil resource atlas of Chhattisgarh state is of immense help for the scientists, planners and administrators in agricultural planning and development. The thematic maps on slope, soil taxonomy, depth, drainage, texture, AWC, pH, erosion, flooding were generated. Some of the derived suitability maps for different crops were also generated. Using area analysis options, the area analysis has been generated for different thematic layer.

  4. Generation of digital Agro-Ecological Zone Maps
    The agro-ecological region concept characterizes tracts of land by quantified information on climate, soils and other physical factors, which are used to predict the potential productivity for various crops according to their specific environmental and management needs. The data layers and maps of physiographic regions, bioclimatic types, LGP, soil moisture and temperature regimes were generated in GIS. These GIS layers have been used in generation of agro-ecological regions and sub regions of India. This information is helpful in delineating productivity efficiency zones, agro-technology transfer and scientific land use planning.

  5. Harmonization of datasets for wasteland development
    Wasteland maps prepared by NRSA were harmonized for the selected districts with the data of degraded lands assessed by NBSS&LUP to evaluate and identify the extent of wastelands. The work on the harmonization of datasets of wasteland vs land degradation of Pune, Udaipur and Salem districts was carried out following map 'overlay' techniques. Statistical information on area/parameters was obtained using 'single map analysis'. Raster overlay of the two themes was done to bring out harmonized raster of wastelands and soil degradation. The final output was disseminated at toposheet level with suitable legends.

  6. Quantitative assessment of soil erosion in Nagpur district using USLE model
    Using USLE model, the potential and actual soil erosion/loss of Nagpur district was estimated. The actual soil loss was computed by multiplying the potential soil loss with C-factor and P-factors. The priority rating of the tehsils was evaluated based on calculating the quantum of soil loss under each erosion class and by computing the area weighted mean for each tahsil. The tehsils of Hingna, Katol, Parseoni and Saoner come under high priority, tehsils of Narkher, Umrer, Ramtek and Kalmeshwar come under medium priority and tehsils of Bhiwapur, Nagpur, Kuhi and Kamptee come under low priority.

  7. GIS based integrated approach for prioritization of watersheds
    The potential and actual soil erosion/loss at watershed level was estimated using USLE model. The quantum of potential and actual soil loss at watershed level was calculated through multiplication of the area by mean value of the respective erosion class. The compound values of each watershed were calculated based on the total soil loss under different erosion classes dividing with the total area of the respective watershed. The erosion susceptibility zone map was generated based on the ranks of estimated actual soil loss parameters of watersheds.

  8. Development of Resource Database and Spatial Modelling for Integrated Agricultural Development of Gondia District, Maharashtra
    Geo-spatial resource database of Gondia district has been developed in GIS on 1:50,000 scale. The weighted thematic data on slope, LGP, soil depth, groundwater potential zones and land use/land cover were integrated in GIS to delineate bio-physical land units (BLU's). The estimated carrying capacity and biophysical resource units at tehsil level have been used to analyze the problems and potentials for optimum utilization of available resources and sustainable agricultural development at tehsil level.

  9. Soil Quality Mapping of Different States and India (1:250,000 scale)
    The soil maps and attribute database generated in SRM project were used in GIS for generation of digital soils resource information system. The soil maps of all the states have been digitized at 1:250,000 and generated seamless vector mosaic to form a soil layer at 1:250,000 scale. The methodology comprises digitization of base map (toposheetwise) georeferencing, edge matching/mosaicing, topology building, attribution of polygons, linking non-spatial data, rasterization, thematic layer generation, area analysis, map composition and output. The spatial distribution of soil quality parameters like soil pH and soil acidity which, in turn, helps in diagnostics of land use planning parameters. The non-spatial (attribute) data was linked with soil layers to generate various derivative thematic maps, like soil reaction (pH), salinity, sodicity, etc. The district area layers have been generated for each state and attributed with district id and district name in the polygon attribute table (PAT). The district quadree layers have been generated for area calculation after generation of soil pH maps. Cross tabulation area analysis options in GIS were used to generate district wise soil pH and acid soils area statistics.

  10. Soil resource data and their interpretation for implementation of river link projects in India: Ken-Betwa river link project
    Ken-Betwa Link Project (KBLP) is one of the links among 30 River links proposed by the Government of India’s National Water Development Agency (NWDA) involving MP and UP in the Bundelkhand region. In the implementation of such mega-projects, terrain analysis, soil resource data and their interpretation assumes significance in terms of the potentialities and limitations of soils for its effective use on sustainable manner. The soil resource inventory provides adequate information in terms of landform, terrain, vegetation as well as characteristics of soils which can be utilized for land resources management and development. Keeping this in view, the present project was undertaken to generate soil resource information and interpret the data for implementation of Ken-Betwa river link project. Physiographically, the area has been delineated in to Malwa Plateau, Pathar and Bundelkhand Upland and Vindhyan Ranges and Escarpment. The slope analysis shows level to nearly level, very gently sloping, gently sloping, moderately sloping, moderately steeply sloping and steeply sloping lands classes.

    Based on IRS LISS-III data, the land use/ land cover classes like cropland, fallow land, forest, gullied/ravenous land, sandy waste, scrubland, waterbody, river and habitation identified. Six soil depth classes were delineated in the study area. The soils are very shallow, shallow, moderately shallow, moderately deep, deep and very deep. The family textural class of the soils indicate that the soils are fine, clayey, clayey-skeletal, fine-loamy, coarse-loamy, loamy and loamy-skeletal and fine-silty. Five erosion classes have been identified viz. none to very slight, slight, moderate, severe and very severe. The drainage classes identified are imperfect, moderately well, well, somewhat excessive and excessive. The salinity classes identified are negligible, slight and moderate. Most of the area is non-saline. The factors considered for delineation of submergence zones are elevation, landforms and slope of the area. The submergence zones were categorized in to high potential, moderate potential and low potential. The area under high, moderate and low potential submergence zones constitute 1515.4, 2505.9 and 2153.9 km2, respectively. In conclusion, the soil resource data was interpreted through remote sensing, topo-maps and other supporting data and the map information was generated through GIS. The information may help the planners and implementing agencies in decision making for irrigation potential, cropping systems, horticulture, agroforestry and other related developmental activities in Ken-Betwa river basin.

  11. Soil Quality Mapping of Different States and India (1:250,000 scale)
    The soil maps and attribute database generated in SRM project were used in GIS for generation of digital soils resource information system. The soil maps of all the states have been digitized at 1:250,000 and generated seamless vector mosaic to form a soil layer at 1:250,000 scale. The methodology comprises digitization of base map (toposheetwise) georeferencing, edge matching/mosaicing, topology building, attribution of polygons, linking non-spatial data, rasterization, thematic layer generation, area analysis, map composition and output. The spatial distribution of soil quality parameters like soil pH and soil acidity which, in turn, helps in diagnostics of land use planning parameters. The non-spatial (attribute) data was linked with soil layers to generate various derivative thematic maps, like soil reaction (pH), salinity, sodicity, etc. The district area layers have been generated for each state and attributed with district id and district name in the polygon attribute table (PAT). The district quadree layers have been generated for area calculation after generation of soil pH maps. Cross tabulation area analysis options in GIS were used to generate district wise soil pH and acid soils area statistics.

  12. Development of GIS based Seamless Mosaic of SRTM Elevation Data for India to Analyze and Characterize the Selected Geomorphometric Parameters (NBSS&LUP and RRSSC Collaborative Project)
    This main objective of the project was to acquire and assess the quality of SRTM 90 m elevation data available in public domain to develop GIS based seamless mosaic at India level and analyze and characterize the SRTM data through digital terrain analysis techniques to map different geomorphic parameters at India, state and agro-ecological region level. Around SRTM-90 m elevation mosaic was generated for the India. Based on the country, state and agro-ecological region (AER) boundaries, the Digital Elevation Models (DEM’s) were generated for further analysis and extraction of various geomorphometric parameters. Using the suitable techniques in GIS, the sinks in the DEM dataset of India have been removed and later it was clipped at state and AER level for further processing. Based on the digital terrain analysis of SRTM datasets, geomorphometric parameters., viz,. slope, hillshade, relief, aspect, contours, plan curvature, profile curvature, total curvature, flow direction, flow accumulation, drainage and topographic wetness index (TWI) were extracted, analysed and thematic maps were generated at India, state and AER level. The digital elevation model of India shows that the elevation ranges from 0 to 8500 m above mean sea level (msl). The analysis of profile curvature of India shows that values ranges from -30.94 to 24.95. The analysis of plan curvature of India indicates the values ranges from that -23.43 to 32.07. The analysis of total curvature of India shows that values ranges from -37.30 to 63.01. Topographic Wetness Index (TWI) of India ranges from -6.08 to 34.57. The analysis of generated geomorphometric parameters has been carried out at state and AER level. The generated digital geomorphometric parameters at India, state and AER level could be effectively integrated with other datasets in natural resource assessment and mapping.

Inter-Institutional Projects

  1. Soil loss assessment of different states of India (NBSS&LUP and CSWCR&TI)
    The collaborative project between NBSS&LUP and CSWCR&TI was aimed to assess of soil loss in different states of India from the soil data collected at 10 km grid during soil resource mapping (SRM) projects. In this project, the point data of USLE parameters for different states was entered with location information in GIS. Using the established empirical model (USLE), the point data has been interpolated using interpolation techniques in SPANS GIS to estimate the spatial variation of different soil loss factors (R, K, L, S, C and P factors). These factors have been integrated in GIS to assess the soil loss at different states of India. The soil loss map of India has been generated through combining the soil loss maps of different states and the spatial extent of different classes has been estimated. The soil loss map of India (except Goa and Mizoram states) has been generated by combining the soil loss maps of different states. The spatial extent of different categories of soil loss classes has assessed and analysis shows that area under moderate (10-15 t/ha/yr), moderately severe (10-15 t/ha/yr), severe(10-15 t/ha/yr), very severe (10-15 t/ha/yr) and extremely severe (10-15 t/ha/yr) soil loss categories covers 13.06%, 6.28%, 10.36% 7.15%, 3.91% and 8.92% of the total geographical area (TGA) of country, respectively.

  2. Harmonized and assessment of Degraded lands and Wastelands Datasets of India (NBSS&LUP, NAAS, CSWCR&TI, CSSR, CAZRI and NRSA)
    As a collaborative effort between NBSS&LUP and NRM Division (ICAR), NAAS, CSWCR&TI, CSSR, CAZRI and NRSA efforts have been made to bring the available datasets on degraded lands and wastelands of India on GIS platform to assess the degraded lands and wastelands at national level. In this detailed GIS based model, the spatial layers on water erosion (soil loss) (NBSS&LUP), acid soils (CSSRI), wind erosion (CAZRI), dense and open forest (FSI) and other layers like area under glaciers, rockout crops, mining/industrial waste and water logged areas layers (NRSA) were considered in GIS based systematic procedure. The harmonized land degradation and wastelands map of India is shown below.

  3. Enrichment of land degradation datasets with soils datasets of different states of India (NBSS&LUP and NRSC)
    This inter-institutional project was undertaken to enrich the information of land degradation maps (1:50,000 scale) prepared by NRSC with the selected soil parameters of soil resource maps of NBSS&LUP and to finalize the state wise land degradation maps of India. The main activities involved in the project are (i) projection transformation of soil/soil loss datasets to make it compatible with land degradation datasets, (ii) appending the identified ten soil parameters relevant to land degradation to enrich land degradation datasets using the suitable option in GIS, (iii) reconciliation of the enriched land degradation datasets, and (iv) finalization of the state wise enriched land degradation maps with suitable legends. The soil parameters pertinent to land degradation like slope, erosion, parent material, soil depth, surface texture, surface stoniness, particle size, calcareousness, soil reaction (pH) and soil salinity/sodicity have been identified to enrich the land degradation datasets. The GIS based methodology has been standardized to enrich the land degradation datasets with soils datasets of different states of India. Using various GIS techniques, the enriched LD datasets were further processed to generate the unique land degradation class. The generated enriched datasets were reconciled during the project review meetings. Finally, unique codes were generated at national scale for representation of LD classes at India level. Class-wise area statistics have been generated for each state. By compiling the state wise legend, the legend at India level has been finalized.

  4. Soil Fertility Mapping – (IISS and NBSS&LUP)
    The project was aimed to generate different soil fertility thematic maps at state level considering district as unit based on the data provided by ISSS, Bhopal.

  5. Digital Mapping of Weeds in India – (NRCWS and NBSS&LUP)
    The project was aimed to prepare weed infestation maps based on the data provided by NRC-WS for spatial depiction of the kinds and extent of infestation of different species of weeds in the present cropping system prevalent in different states of India. The thematic maps were generated which shows degree of infestation of different types of weeds at state level.

Externally Funded Projects (National)

  1. Integrated National Agriculture Resources Information System (INARIS)-Soil Resource Information System- Soil Resource Information system
    The major objective of the project was to generate digital database on agricultural resources at national/regional/local level to develop integrated national agricultural resources information system (INARIS) based on the integration of various multidisciplinary data sets generated by different Institutes. So far as NBSS&LUP is concern, the main assignment was to generate digital soil resources database at national and state level on 1:1 m scale. The soil resource database of India was produced based the soil map at 1:1 m published by NBSS&LUP was used. The soil attribute database on map unit id, soil depth, drainage, particle size, slope, erosion, surface stoniness, flooding, calcareousness, salinity and sodicity data was compiled and codified as per OGC standard and extended legend was prepared as per the INARIS data structure. The other attribute database like SRM map units, pedon no., colour, surface texture, soil temperature regime, parent material, land (surface) form, organic carbon (OC), cation, exchange capacity (CEC), soil reaction (pH) and mineralogy were compiled at respective regional center from SRM data (1:250,000 scale) and was provided to enter in the main database as per the INARIS data structure. This project delivered the first National Geo-referenced Soil Information System.

    The data entry forms like polygon description, polygon details, state information, state and district code, soil site, physical, chemical and fertility status were generated. The data entry forms like polygon details, state information, soil site, physical, chemical and composite query form were gnerated. Through designed data entry forms in Visual basic as a front end, soil resource database pertaining to site, physical and chemical properties were entered for almost all the states of India. Besides the soil resource data, the coded database on states, districts and toposheets (1:1,000,000 and 1:250,000 scale). Through the designed composite query form, soil resource information pertaining to any state, district and toposheet can be obtained. The Web-Site has been developed in Microsoft FrontPage 2000 using HTML (Hypertext Markup Language) and Scripting Language 'Javascript 1.2' in Asp pages. Software used for developing the Web-site are Microsoft FrontPage 2000, Flash, Swish, Visual Interdev, ISS Server and Ms- Access as database and Microsoft Internet Explorer as Browser. State-wise and District-wise soil parameters can be obtained for each soil-units occurring in that Particular State and its districts.

  2. Ecological Evaluation of land resources and land use systems in different agro-ecological regions of Vidarbha region, Maharashtra using Remote sensing and GIS techniques (AP-Cess fund)
    The project was aimed to characterize the resources in the selected watersheds in three distinct agro-ecological regions of Vidarbha region, Maharashtra to analyze their problems, potentials and to find out ecologically sensitive units to assess the environmental impacts on land use systems and formulate site-specific action plans for sustainable land use systems. The selected watersheds are Borgaon Manju in Deccan plateau, Semi-Arid AER (Akola district), Mohari in Central Highlands, Hot (dry) Sub-Humid AER (Bhandara district) and Vihirgaon in Eastern Plateau and Eastern Ghats, Hot (moist) Sub-Humid AER (Chandrapur district). The soil resource inventory in the watersheds has been carried out. Based on the soil site, morphological, physical and chemical properties, land capability and land irrigability classes has been worked out in the watersheds by comparing the characteristics of a land-mapping units with critical limits set for each capability and irrigability class. Soil suitability for 12 major crops like cotton, pigeon pea, wheat, rice, sorghum, bengal gram, mung bean, safflower, sunflower, linseed, soybean and chilli has been worked out in three watersheds.

    Watershed wise parcel level database has been collected for 25 years (1980-81 to 2005-06) at five year interval and designed database in GIS environment to generate spatio-temporal land use systems maps. Analysis of land transformation processes in the selected watersheds over a period of 25 years has been worked out. The transformation in the land use systems clearly indicates the shift from subsistence to commercial cultivation. Significant shift in land use towards soybean crop has been noticed and the area under different combinations of soybean crop has been increased from almost negligible area in the year 1980-81 to about 13.5 per cent in the year 2005-06. Carrying capacity in the watersheds has been assessed based on the availability and requirement of food grains in terms of calories for human population and availability and requirement of forage (dry matter) for animal population for the year 2005-06. Based on the gap analysis, the surplus and deficit zones of carrying capacity both for human and animal population has been ranked and the composite carrying capacity index (CCI) has been generated to assess the overall carrying capacity and to identify the surplus and deficit zones in the watersheds. Based on the the multi-thematic vector database integration in GIS, the distinct composite land resources units (CLRU’s) were delineated. The analysis of ecological sustainability of CLRU's in watersheds has been worked out. Ecological Sustainable Zones (ESZ) maps of Borgaon Manju, Mohari and Vihirgaon watersheds are shown below. These units have been considered as a base to formulate site-specific action plans through analysis of their physical and ecological potentials and limitations.

  3. Human Resource development in Remote sensing and GIS in Natural Resource Management-(NNRMS (ISRO)- NBSS&LUP)
    NNRMS (ISRO) and NBSS&LUP jointly formulated project was aimed to organize a series of training programmes at different Regional centers and Head Quarters of NBSS&LUP. The main objectives of the joint effort are (i) capacity building in the field of RS and GIS application in natural resources management, (ii) enhance expert manpower to cater to the needs of agricultural universities, state departments and district developmental agencies, and (iii) to pave the way for inter institutional collaboration towards spatial database creation and management. In all ten NNRMS (ISRO) sponsored training programmes conducted at NBSS&LUP, Nagpur and its Regional Centers, and about 172 trainee officers from ICAR, SAU’s, State Govt. departments and Academic institutions were trained.

Consultancy Projects

  1. Cropping system analysis using GIS applications–Indo Gangetic Plains (ICRISAT)
    Based on the work done by GIS Laboratory, the Bureau has been recognized as potential GIS center. ICRISAT provided consultancy to NBSS&LUP for a training programe arranged for the scientists of the Asian region (Bangalore, Nepal, Srilanka and India). The programme aimed at providing hands-on training on GIS application in cropping system research. GIS analysis with respect to Rice-Wheat cropping system and Legumes were carried out as case studies from each country. Change detection studies of crop productivity carry importance to analyze the factors controlling the production and productivity of a cropping system. Changes in wheat yield in the Indo-Gangetic Plains of India between 1960 and 1990 years were analyzed to detect the temporal changes in productivity of wheat before and after green revolution using GIS technology. A district polygon coverage was digitized for the IGP region in SPANS GIS system and the data base (area, production and yield) in dbase III format was appended. Quadtree overlay was performed and aggregation was done to indicate the areas of change from 1960 to 1990. The results show that there has been a steady increase in wheat productivity over time in the entire IGP region with varying degree of enhancement in yield.

  2. District Level Digital Soil Information of Bankura District, West Bengal (DST)
    The consultancy project entitled, "District level digital information of Bankura district, West Bengal" was accomplished using the base information available at 1:50,000 at soil series association level, in ARC/INFO readable format (E00) and ARC VIEW (.shp, .shx, .aax, .dbf) formats along with attribute database. This present project forms a part of consultancy activities of NBSS&LUP with Department of Science and Technology (DST), New Delhi. The main project entitled "GIS based technologies for integrated development planning" Thematic maps pertaining to slope, physiography, soil depth, drainage class, textural class, CEC, pH, organic carbon and available water holding capacity were produced. Interpretative maps like land capability and land irrigibility classes were supplied to DST for use in developing land use plans.

  3. Soil suitability evaluation for rubber cultivation in Tripura (Consultancy project)
    The Bureau in collaboration with the Directorate of Agriculture and Horticulture and Soil Conservation, Govt. of Tripura, with the financial and other support of the Rubber Board, Govt.of India, prepared soil resource map of Tripura on 1:250,000 scale for expansion of Rubber plantation in Tripura state. Spatial soil and attribute database of the project was processed and analysed in GIS to generate various thematic and interpretative maps like suitability for Rubber growing areas. The soil suitability map for rubber in Tripura is shown below.

  4. Global Irrigated Area Mapping (GIAM) Project (IWMI)
    ICAR deputed scientist from GIS Section for one month period from 1st to 30th September, 2006 on short term consultancy to work with scientific team at Remote Sensing and GIS unit, International Water Management Institute (IWMI), Colombo in Global Irrigated Area Mapping (GIAM) project in the fields of GIS and Remote sensing to facilities a systematic and detailed irrigated area maps of India. During the visit, the irrigated area statistics of India derived from satellite sensors in GIAM project and was validated with national statistics. IWMI produced two satellite sensor based irrigated area maps of India under GIAM project. These are one at NOAA AVHRR 10 km and another MODIS 500 m resolution. The visited scientist compiled the available Indian national statistics data and satellite based datasets of IWMI on irrigated areas for comparative analysis.

  5. GIS applications in predictive modeling
    Dr. A.K. Maji, Pr. Scientist and Incharge GIS Section visited CSIRO, Australia as visiting Scientist to study on GIS applications in predictive modeling for performance of Stylosanthes in India.
 

Ongoing Projects

 

Institute Projects

  1. Development of Indian Soil Information System (ISIS) – A Geoportal
    In order to design and develop seamless Indian Soil Information System (ISIS) – a Geoportal on 1:250,000 scale in GIS, the digital database on river basins and sub basins of India have been generated. The digital terrain database of India using SRTM (90m) and ASTER (30m) digital elevation models have been developed. The 20 agro-ecological regions (AER’s) and 60 agro-ecological sub regions (AESR’s) database has been brought under ISIS domain with the uniform projection and standards. About 1600 meteorological stations have been digitized to generate spatial climatic database to enrich the spatial databases generated under ISIS. To provide the satellite database in ISIS, 20 AWiFs scenes (56 m spatial resolution) and Thematic Mapper (TM) satellite data (30 m resolution) have been georeferenced and mosaic has been generated. The schema has been standardized for development of soil resource information at state and India level with uniform standards. This year, generation of seamless soil resources database for Andhra Pradesh, Karnataka, Maharashtra, Goa, Orissa and Kerala has been completed under ISIS domain.

  2. Development of District Soil Information System (DSIS) on 1:50,000 scale (50 Districts)
    The project was undertaken to design and develop District Soil Information System (DSIS) on 1:50,000 scale (50 districts) in GIS with uniform standards to store, process, manage the geospatial soil database at district level. During the reporting period, the schema for the input parameters in the GIS database has been standardized for development of soil resource information at district level with uniform standards. In order to enhance the utility of district level soil resource databases, climatic data, soil loss, degraded/wastelands, terrain and satellite database have been included to query and retrieve the information at district, tehsil and block level for the users. This will enhance the utility of soil resource information for district level land use planning. District soil database for ten districts have been digitized and converted into uniform projection system and brought under India district database.

  3. GIS modeling to predict Land Productivity Potential (LPP) for major crops in Wardha district of sub-Humid (dry) region, Eastern Maharashtra
    The project was undertaken to delineate and characterize Pedo-Ecological Units (PEU), cropping systems using temporal satellite and field data, and to develop suitable model in GIS to integrate the thematic parameters in mapping crop based Land Productivity Potential (LPP). In order to develop the terrain database, ASTER GDEM (30 m) scenes were mosaicked and different terrain parameters, like slope, hill shade, aspect etc. were generated. The two seasons IRS P6 LISS-III data for the year 2010-2011 has been digitally analyzed to characterize the major land use/land cover classes in the district. The preliminary analysis shows that about 47.0 per cent area is under different crops. The field data on various aspects of terrain, land use systems and production and productivity of the selected crops has been collected at around 50 locations for validation of the model with the help of GPS. The soil resource database of Wardha district has been generated based on the available soil information. Various soil based thematic database has been generated. In order to delineate the Pedo-Ecological Units, the thematic database on slope, climatic data, soil depth, soil texture, drainage, soil pH, OC and land use systems have been integrated in a model in GIS. The distinct Pedo-ecological Units have been delineated in the district to predict the Land Productivity Potential (LPP) for major crops.

  4. Assessment of spatio-temporal variability of major crops in different states of India for land use planning : A GIS based approach
    The project was aimed to assess the temporal variability of area, production and yield of major crops in different states of India, generation of thematic database in GIS and to find out the factors influencing the change in land use systems. During the reporting period, collection and compilation of district level data on area, production and yield for major crops and map generation thematic database for Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Chhattisgarh, Gujarat, Karnataka, Kerala, Jharkhand, and Maharashtra have been completed. The preliminary analysis of area under total oilseeds in Maharashtra shows that in the year 1975-76 there was only one district (Osmanabad),which had more than 20,000 ha, area under oilseeds whereas, in the year 2005-06 six districts have been noticed. Regarding the area under total pulses in Maharashtra, there were only two districts in the year 1975-76, which had more than 30,000 ha, however, in 2005-06, there were seven districts. The study indicates that the area under total oilseeds and total pulses has been increased in Maharashtra from 1975-2005-06. Calculation of Herfindahl index, Entropy index, Modified Entropy index, and Composite Entropy index showed that crop diversification is more in recent years compared to 1950-51. Cropping pattern moved from specialization to diversification from 1950-51 to 2009-10 because of commercialisation of agriculture i.e., cultivation of more remunerative crops after globalization.
 

Capacity Building

 

Post Graduate Teaching and Education

The Section is actively involved in teaching and guiding M.Sc and Ph.D students in Land Resource Management (LRM). So far 5 M.Sc students have been completed their Dissertation in GIS applications and presently two Ph.D students doing their research work. This programme is being run in collaboration with Dr. Panjabrao Deshmukh Krishi Vidyapeeth (Dr. P.D.K.V), Akola.

Training imparted

  1. Organized NAIP (ICAR) sponsored two weeks national training on “Recent Trends of Geoinformatics in Land Resource Database Management for Sustainable Agriculture” at GIS Section, NBSS&LUP, Nagpur from 15th to 28th November, 2011. Fourteen trainee officers from ICAR, SAU’s and KVK’s covering different states viz., Andhra Pradesh, Assam, Jammu & Kashmir, Madhya Pradesh, Maharashtra, Rajasthan and Tamil Nadu were participated in the training.
  2. Organized DST sponsored three days Data Users’ Seminar and GIS Training has been organized at GIS Section in collaboration with LIGHTS NGO organization from 16th to 18th October, 2011. Around 52 senior secondary teachers from central India were trained on various aspects of GIS, Remote sensing and GPS principles and applications.
  3. Organized ICAR Sponsored Winter School “Advances in GIS and Remote sensing based Digital Terrain Analysis and Hydro-geomorphic Applications in Soil-Landscape Modeling” at GIS Section, NBSS&LUP, Nagpur from 6th to 26th September, 2011. Twenty four participants from ICAR, SAU’s, CAU’s and KVK’s from different parts of the India were participated in the winter school.
  4. Organized NNRMS (ISRO) sponsored training programme on "Geoinformatics for Land Resource Management" was organized at GIS Section from 9th to 29th March, 2011. In the training programme, 16 officers from different ICAR institutes, SAU’s, KVK’s and state universities participated.
  5. Organized ICAR Sponsored 21 days Winter School on "Remote Sensing, GIS and GPS Applications in Watershed Development" from 10th to 30th November 2009. Seventeen officers from ICAR Institutes/SAUs/CAUs and Central/State Govt. were participated training programme.
  6. Organized ICAR Sponsored 21 days Winter School on “Remote Sensing and GIS Application in Soil Land and Agriculture” from 9th February 2009 to 1st March 2009. Twenty three participants from ICAR and SAU's were trained in this training.
  7. Organized Three days training on “Use of Global Positioning System (GPS) in Resource Inventory” held during 23rd to 25th March 2006.
  8. Organized 21 days training on “Introduction to Arc GIS, Arc Catalog, Arc Map, Arc Edit, 3D Analyst, Spatial Analyst, and Geo-spatial database generation” held during 13th September to 5th October 2004 at GIS Section, Nagpur.
  9. Organized ICAR sponsored training on “Managing Geo-database using ArcSDE & Oracle” at National Bureau of Soil Survey and Land Use Planning (NBSS&LUP), Nagpur from 21st to 26th July 2003. 10 participants attended the training.
  10. Organized one week training on “Digitization of watershed maps” held during 2nd to 9th September 2002.
  11. Organized two days training on “Concepts on database generation in GIS” held during 22nd to 23rd August, 2002
  12. Organized two weeks training programme on “Digitization, Map Processing and Analysis in GIS” conducted at GIS Section for the technical personnel of Delhi and Calcutta Regional Centres in 2000.

Training Undergone

  1. Sh. Nirmal Kumar attended completion workshop cum installation training of NAIP sponsored project “Strengthening Statistical Computing for NARS” at CIFE, Mumbai on 30th June, 2012
  2. Sh. Nirmal Kumar attended 5 day training programme on “Introduction to RISAT Applications” at RRSC, Nagpur from 14th to 19th February, 2011
  3. Mrs. Malathi Bommidi attended training programme on “Data Mining Using SAS” at IASRI, New Delhi from 06th to 11th February, 2012
  4. Sh. Nirmal Kumar attended 30 days “Trainers training Programme on Strengthening Statistical computing for NARS” held at CIFE, Mumbai during July 12 – August 13, 2010
  5. Sh. Nirmal Kumar attended two days installation training on “Strengthening Statistical computing for NARS” held at CIFE, Mumbai during June 16 – 17, 2010
  6. Mrs. Malathi Bommidi attended training programme on “IT based decision support system for e-learning content management” at NAARM, Hyderabad from 2nd to 8th June, 2010
  7. Dr. G. P. Obi Reddy attended international training/ collaborative research programme in “Geoinformatics” as part of NAIP (HRD) sponsored programme at International Institute of Geoinformation Science and Earth Observation (ITC), The Netherlands from 3rd May to 31st July, 2010
  8. Sh. Nirmal Kumar, Scientist attended “Soil Survey Field Training” at NBSS&LUP Regional Center, Bangalore during April 27 – May 21, 2010
  9. Dr. G. P. Obi Reddy attended ISRO, Dept. of Space, Govt. of India sponsored training on “RISAT-UP Radar Remote Sensing & Applications” at Regional Remote Sensing Centre (RRSC), Nagpur from 22nd February to 5th March 2010
  10. Mr. Sunil Meshram was undergone training on “Web Design Methodologies and Protocols” at NAARM, Hyderabad from 8th to 18th September, 2009
  11. Mr. Sunil Meshram attended NNRMS/ISRO sponsored training on “Applications of Remote Sensing and GIS in Natural Resource Management” at NBSS&LUP, Nagpur from 20th March to 9th April, 2007
  12. Dr. G. P. Obi Reddy undergone ICAR sponsored Summer School on “GIS Based Decision Support Systems for Sustainable Agriculture” at NAARM, Hyderabad from 5th to 25th July, 2006
  13. Dr. G. P. Obi Reddy attended NATP (ICAR) sponsored training on “Web Design, Data Management and Data Mining” at Indian Agricultural Statistics Research Institute (IASRI), New Delhi from 1st to 3rd November, 2004
  14. Dr. G. P. Obi Reddy attended 21 days training on “Introduction to Arc GIS, Arc Catalog, Arc Map, Arc Edit, 3D Analyst, Spatial Analyst, and Geo-spatial database generation” held during 13th September to 5th October 2004 at GIS Section, Nagpur
  15. Dr. G. P. Obi Reddy attended ICAR sponsored Winter School on “Remote Sensing and GIS in Agriculture Statistics” at Indian Agricultural Statistics Research Institute (IASRI), New Delhi from 6th to 26th August 2003
  16. Dr. G. P. Obi Reddy attended ICAR sponsored training on “Managing Geo-database using ArcSDE & Oracle” at National Bureau of Soil Survey and Land Use Planning (NBSS&LUP), Nagpur from 21st to 26th July 2003
  17. Dr. G. P. Obi Reddy attended NATP (ICAR) sponsored training on Arc GIS, Arc Catalog, Arc Map, Arc Edit, 3D Analyst, Spatial Analyst, Arc Networks and Geo-spatial Database Generation” at National Bureau of Soil Survey and Land Use Planning (NBSS&LUP), Nagpur from 7th to 20th October 2002
  18. Dr. G. P. Obi Reddy attended Two days training on “Concepts on database generation in GIS” held during 22nd to 23rd August, 2002
  19. Dr. A.K Maji attended NATP-INARIS sponsored training at NIIT-Delhi from 17th to 25th June, 2002
  20. Dr. G. P. Obi Reddy attended NATP-INARIS sponsored training at NIIT-Bangalore from 25th March to 24th April, 2002
  21. Dr. G. P. Obi Reddy attended ICAR sponsored Winter School on “GIS for Land Resource Data Management” at National Bureau of Soil Survey and Land Use Planning (NBSS&LUP), Regional Centre, Bangalore from 3rd to 23rd October 2001
  22. Shri Sunil Meshram attended a training on Digital mapping and GIS at NATMO, Kolkata from 2nd to 27th July, 2001
  23. Dr. A.K Maji was offered programme at CRC for tropical pathology, University of Queensland, Australia, on GIS based modelling in 2000
  24. Dr. G. P. Obi Reddy attended ICAR sponsored training on “Soil Survey and Land Evaluation” at National Bureau of Soil Survey and Land Use Planning (NBSS&LUP), Nagpur from 2nd November 1998 to 23rd January, 1999
  25. Dr. G. P. Obi Reddy attended ISRO, Dept. of Space, Govt. of India sponsored training on “Remote Sensing, Digital Image Processing and GIS” at National Remote Sensing Agency (NRSA), Dept. of Space, Govt. of India, Hyderabad from 13th July to 25th September 1998
  26. Dr. G. P. Obi Reddy attended NNRMS (ISRO) sponsored training on “Remote Sensing and GIS for Resources Mapping” at Regional Remote Sensing Service Centre (RRSSC), Dept. of Space, Govt. of India, Nagpur from 20th April to 1st May 1998
  27. Dr. G. P. Obi Reddy attended ICAR sponsored training on “Agricultural Research Information System (ARIS) Software Programme” at Central Institute of Agricultural Engineering (ICAR), Bhopal from 4th to 12th September 1997.
 

Linkages

 

Keeping in mind the multidisciplinary approaches and emerging areas GIS based applications in soils and natural resources management, the GIS Laboratory is maintaining linkages with many national and international institutes, such as

  • Central Soil and Water Conservation Research & Training Institute
  • Indian Institute of Soil Science
  • Central Soil Salinity Research Institute
  • Central Arid Zone Research Institute
  • National Research Center- Weed Science
  • National Natural Resource Management System (NNRMS), ISRO
  • National Spatial Data Infrastructure (NSDI)
  • National Remote Sensing Centre (NRSC)
  • Space Application Centre (SAC)
  • State Agricultural Universities
  • National Informatics Centre (NIC)
  • International Crop Research Institute for the Semi-Arid Tropics (ICRISAT)
  • International Water Management Institute (IWMI)
  • ITC, The Netherlands
 

Future Thrust Areas

 
  • Development of advanced techniques in design and development of soil resources database at different scales in GIS
  • Development of digital techniques for soil resources mapping, and automation of land evaluation procedures using GIS techniques.
  • Agro-ecosystem based research on soils and land use systems.
  • Improved yield models by integration of biophysical simulation at regional/local/watershed level.
  • Develop new techniques in soil mapping at cadastral scale using high resolution satellite data in collaborative mode.
  • Processing of data through interactive tools of the GIS using macro languages for advanced analytical output.
  • Digitization of existing maps and reports produced since inception of NBSS&LUP.
  • Computer skills and Applications of GIS to be a taught at P.G. and U.G. syllabus for better human resource development.
  • Initiation of international collaborative projects in the fields of Natural Resource Management with ITC, The Netherlands; UNDP; CSIRO; ISRIC; AIT; ICRISAT; FAO.
 

Major Publications (Research papers/Reports/Technical Bulletins)

 
  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.
 

Book Chapters

 
  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.