Land Resource Inventory for Village-Level Agricultural Land Use Planning

  • Nisha Sahu
  • G. P. Obi Reddy
  • Rajeev Srivastava
  • Narayan Lal
  • S. K. Singh
Part of the Geotechnologies and the Environment book series (GEOTECH, volume 21)


Timely and reliable information on soils with respect to their nature, extent and spatial distribution is vital for optimal utilization of natural resources on a sustained basis. The technological advances in the field of remote sensing, global positioning system (GPS) and geographic information system (GIS) have augmented the efficiency of land resource inventory and mapping. The recent advances in remote sensing have immense potential to explore the full range of spectral, spatial and temporal resolutions of high-resolution satellites in soil resource mapping and characterization. In the present study, based on landforms, slope, land use/land cover and ground truth, 37 physiography-land use units (PLU) were identified and described. Soil profiles were studied at representative sites on different PLUs for characterization of various sites and physical and chemical properties. PLU-soil relationship was developed by correlating soil-site characteristics and physical and chemical properties of soils. Six soil series were identified in major landforms, and soil map depicting phases of soil series was developed. The study revealed that the combined use of Cartosat-1 Digital Elevation Model (DEM) (10 m) and high-resolution IRS-P6 LISS-IV data will be of immense help in identifying distinct soil patterns for large-scale soil resource inventory for village-level agricultural planning.


Agricultural land use planning Geographic information system Global positioning system High-resolution remote sensing Land resource inventory Soil survey 


  1. AIS & LUS (1971) Soil survey manual. IARI, New DelhiGoogle Scholar
  2. Bhattacharyya T, Ram B, Sarkar D, Mandal C, Dhyani BL, Nagar AP (2007) Soil loss and crop productivity model in humid subtropical India. Curr Sci 93:1397–1403Google Scholar
  3. Bodhankar RM, Srivastava R, Saxena RK, Prasad J (2002) Integrated approach of RS and GIS in characterization and evaluation of land resources for watershed management-A case study in (Dhyani et al.) Resource Conservation and Watershed Management: Technology Options and Future Strategies. IASWC, Dehradun, India, 435 pGoogle Scholar
  4. Das DK, Bandopadhyay S, Chakraborty D, Srivastava R (2009) Application of modern techniques in characterization and management of soil and water resources. J Indian Soc Soil Sci 57:445–460Google Scholar
  5. Dhinwa PS, Arya AS, Pathan SK, Vyas PR (2010) Generation of action plans at implementation level using IRS-P6, LISS-4 MX Data at 1:12,5000 Scale-A Case Study of Nalchha Microwatershed, Dhar District (M.P.): 1–4Google Scholar
  6. Dhruvanarayana VV, Babu R (1983) Estimation of soil erosion in India. J Irri Drought Eng ASCE 109(4):419–434CrossRefGoogle Scholar
  7. Dobos E, Hengle T (2009) Soil mapping applications. Dev Soil Sci 33:461–479Google Scholar
  8. Dobos E, Montanarella L (2007) The development of a quantitative procedure for soil scape delineation using digital elevation data for Europe. Chapter 9, digital soil mapping-an introductory perspective. Dev Soil Sci 31:107–117Google Scholar
  9. Dwivedi RS (2001) Soil resource mapping: a remote sensing perspective. Remote Sens Rev 20:89–122CrossRefGoogle Scholar
  10. Elvis A, Prasad J, Nagaraju MSS, Srivastava R, Kauraw DL (2009) Use of remote sensing in characterisation and management of Dhamni micro-watershed of Chandrapur district of Maharashtra. J Indian Soc Remote Sens 37(1):129–137CrossRefGoogle Scholar
  11. FAO & ITPS (2015) Status of the World’s Soil Resources (SWSR) – main report. Food and Agriculture Organization of the United Nations and Intergovernmental Technical Panel on Soils, RomeGoogle Scholar
  12. Giri JD, Nagaraju MSS, Srivastava R, Singh DS, Nasre RA, Barthwal AK, Mohekar DS (2016) Accuracy assessment of large-scale soil map prepared by remote sensing approach. Int J Agric Stat Sci 12(1):229–237Google Scholar
  13. Hiese N, Mich N, Yanthan M, Yeptho H, Moatoshi, Lotha R, Kruyie P, Suokhrie S, Murry B, Mor S (2011) Application of Geoinformatics in Land Resource Management at Micro-watershed level for sustainable development of Sanis, Wokha District, Nagaland. Geospatial World Forum, 18–21 January, Hyderabad, IndiaGoogle Scholar
  14. Kasturirangan K, Aravamudan R, Deekshatulu BL, Joseph G, Chandrasekhar MG (1996) Indian remote sensing satellite IRS IC. The beginning of new era. Curr Sci 70:495–500Google Scholar
  15. Klingebiel AA, Montgomery PH (1961) Land capability classification. Agric. Handbook 210, SCS, USDA, Washington, DCGoogle Scholar
  16. Kushwaha SPS, Mukhopadhyay S, Hari Prasad V, Kumar S (2010) Sustainable development planning in Pathri Rao sub-watershed using geospatial techniques. Curr Sci 98:1486Google Scholar
  17. Laake PE (2000) Spatial tools for laymen, natural resource management by experts. Int Arch Photogramm Remote Sens 33:1593–1600Google Scholar
  18. Liengsakul M, Mekpaiboonwatana S, Pramojanee P, Bronsveld K, Huizing H (1993) Use of GIS and remote sensing for soil mapping and for locating new sites for permanent cropland – A case study in the highlands of northern Thailand. Geoderma 60(1–4):293–307CrossRefGoogle Scholar
  19. Manchanda ML, Kudrat M, Tiwari AK (2002) Soil survey and mapping using remote sensing. Trop Ecol 43(1):61–74Google Scholar
  20. Martha TR, Saha R, Vinod Kumar K (2012) Synergetic use of satellite image and DEM for identification of landforms in on Ridge-Valley Topography. Int J Geosci 3:480–489CrossRefGoogle Scholar
  21. Mediterra (2016) Zero waste in the Mediterranean. Natural Resources, Food and Knowledge/International Centre for Advanced Mediterranean Agronomic Studies (CIHEAM) and Food and Agriculture Organization of the United Nations (FAO). Presses de Sciences Po, ParisGoogle Scholar
  22. Nagaraju MSS, Kumar N, Srivastava R, Das SN (2014) Cadastral-level soil mapping in basaltic terrain using Cartosat-1 derived products. Int J Remote Sens 35(10):3764–3781CrossRefGoogle Scholar
  23. NBSS&LUP (1994) Soil-site suitability criteria for different crops. In: Proceedings of National meet on Soil-site suitability criteria for different crops. 31 pGoogle Scholar
  24. Patil S, Nagaraju MSS, Srivastava R (2010) Characterization and evaluation of land resources of Basaltic terrain for watershed management using remote sensing and GIS. Indian J Soil Sci 38(1):16–23Google Scholar
  25. Potdar SS, Srivastava R, Nagaraju MSS, Prasad J, Saxena RK (2003) Mapping of erosional soil loss in Nanda-Khairi watershed of Nagpur district of Maharashtra using remotely sensed data and GIS techniques. Agropedology 13:10–18Google Scholar
  26. Pratap Narain (2008) Dryland management in arid ecosystem. J Indian Soc Soil Sci 56:337–347Google Scholar
  27. Ramamurthy V, Singh SK, Chattaraj S, Ramesh Kumar SC, Reddy GPO (2017) Land resource inventory Towards Village level agricultural land use planning. In: Reddy GPO, Patil NG, Chaturvedi A (eds) Sustainable management of land resources – an Indian perspective. Apple Academic Press, Waretown, pp 643–668CrossRefGoogle Scholar
  28. Rao BRM, Fyzee MA, Wadodkar MR (2004) Utility of remote sensing data for mapping soils at various scales and levels. In: Venkatratnam L, Ravisankar T, Sudarshana R (eds) Soils and crops. NRSA Publication, HyderabadGoogle Scholar
  29. Ravisankar T, Thamappa SS (2004) Satellite data interpretation and analysis for soil mapping. In: Venkatratnam L, Ravisankar T, Sudarshana R (eds) Soils and crops. NRSA Publication, HyderabadGoogle Scholar
  30. Reddy GPO, Maji AK (2003) Delineation and characterization of geomorphological features in a part of lower Maharashtra metamorphic plateau, using IRS-ID LISS-III data. J Indian Soc Remote Sens 31(4):241–250CrossRefGoogle Scholar
  31. Reddy GPO, Nagaraju MSS, Ramteke IK, Sarkar D (2013) Terrain characterization for soil resource mapping using IRS-P6 data and GIS –a case study from basaltic terrain of Central India. J Indian Soc Remote Sens 41(2):331–343CrossRefGoogle Scholar
  32. Reddy GPO, Patil NG, Chaturvedi A (eds) (2017) Sustainable Management of Land Resources – an Indian perspective. Apple Academic Press, Waretown, p 769Google Scholar
  33. Reddy GPO, Singh SK, Patil NG, Chaturvedi A (2017a) Land resource inventory, mapping and management – an indian perspective. In: Reddy GPO, Patil NG, Chaturvedi A (eds) Sustainable management of land resources – an Indian perspective. Apple Academic Press, Waretown ISBN-13: 978-1-77188-517-1, pp 1–30CrossRefGoogle Scholar
  34. Sahu N, Reddy GPO, Kumar N, Nagaraju MSS (2015) High resolution remote sensing, GPS and GIS in soil resource mapping and characterization: a review. Agric Rev 36:14–25CrossRefGoogle Scholar
  35. Sahu N, Singh SK, Reddy GPO, Kumar N, Nagaraju MSS, Srivastava R (2016) Large-scale soil resource mapping using IRS-P6 LISS-IV and Cartosat-1 DEM in basaltic terrain of Central India. J Indian Soc Remote Sens 44(5):811–819CrossRefGoogle Scholar
  36. Sarkar D, Gangopadhyay SK, Sahoo AK (2006) Soil resource appraisal towards land use planning using satellite remote sensing and GIS – a case study in Patloinala micro watershed, district Puruliya, West Bengal. J Indian Soc Remote Sens 35(1):21–30Google Scholar
  37. Sehgal JL (1990) Soil series criteria and norms. Soil Series Bull. l, National Bureau of Soil Survey and Land Use Planning, NagpurGoogle Scholar
  38. Sehgal J, Abrol IP (1994) Soil degradation in India: status and impact. Oxford and IBH Publishing Co. Pvt Ltd, New DelhiGoogle Scholar
  39. Sharma IP, Saxena RK, Nagaraju MSS, Srivastava R, Prasad J, Kumar S, Barthwal AK (2004) Utilization of remote sensing data for characterization of land resources of Khursapar village, Nagpur district, Maharashtra. Abstracts, 248 ISRS Annual Convention and National Symposium, held at Jaipur from November 3–5, 2004, pp 198–199Google Scholar
  40. Shrestha HL (2006) Using GPS and GIS in participatory mapping of community forest in Nepal. Electron J Inf Syst Dev Countries 25(5):1–11Google Scholar
  41. Soil Survey Division Staff (2000) Soil survey manual, (Indian Print) Handbook No 18. USDA, Washington, DCGoogle Scholar
  42. Soil Survey Staff (1999) Keys to soil taxonomy, 8th edn. USDA, Washington, DCGoogle Scholar
  43. Srinivasa SV, Givindaiah S, Gowda HH (2008) Prioritization of sub-watersheds for sustainable development and management of natural resources: an integrated approach using remote sensing, GIS and socio-economic data. Curr Sci 95:345–354Google Scholar
  44. Surya JN, Sidhu GS, Lal T, Sharma JP (2008) Macro and micro level soil resource mapping for soil erosion assessment and conservation in Shiwalik region of Himalayas, India. Proceedings of 15th International Congress on “Soil and Water Conservation, Climate Change and Environmental Sensitivity” of the International Soil Conservation Organisation (ISCO) held at Hungry 1–8Google Scholar
  45. Sys CE, Ranst V, Debayeve J (1991) Land evaluation, Part I and II. Re-edited volumes of Publication No. 7. General Administration of Cooperation and Development, BrusselsGoogle Scholar
  46. Velmurugan V, Carlos GG (2009) Soil resource assessment and mapping using remote sensing and GIS. J Indian Soc Remote Sens 37:511–525CrossRefGoogle Scholar
  47. Walia CS, Singh SP, Dhankar RP, Ram J, Kamble KH, Katiyar DK (2010) Watershed characterization and soil resource mapping for land use planning of Moolbari watershed, Shimla, H.P. in lesser Himalayas. Curr Sci 98(2):176–182Google Scholar
  48. Walke N, Reddy GPO, Maji AK, Thayalan S (2012) GIS-based multi-criteria overlay analysis in soil- suitability evaluation for cotton: a case study in the black soil region of Central India. Comput Geosci 41:108–118CrossRefGoogle Scholar
  49. Yeung AKW, Lo CP (2002) Concepts and techniques of geographic information systems. Int J Geogr Inf Sci 17(8):819–820Google Scholar
  50. Ziadat F, Berrahmouni N, Grewer U, Bunning S, Bockel L, Oweis T (2015) Reversing land degradation in the drylands: scaling out and monitoring proven sustainable land management options. In Griffiths J (ed.) Living land. United Nations Convention to Combat Desertification, pp 14–17. Available at

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Nisha Sahu
    • 1
  • G. P. Obi Reddy
    • 1
  • Rajeev Srivastava
    • 1
  • Narayan Lal
    • 2
  • S. K. Singh
    • 1
  1. 1.ICAR-National Bureau of Soil Survey & Land Use PlanningNagpurIndia
  2. 2.ICAR-National Research Centre on LitchiMuzaffarpurIndia

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