Skip to main content

Remote Sensing and GIS Applications in Micro Level Planning

  • Chapter
  • First Online:
Geospatial Technologies in Land Resources Mapping, Monitoring and Management

Part of the book series: Geotechnologies and the Environment ((GEOTECH,volume 21))

Abstract

Micro level planning (MLP), sometimes also called as grassroots level planning or cadastral level planning, is a developmental planning exercise, which requires detailed spatial database on presently available natural resources in the area in terms of geology, geomorphology, soil resources, groundwater and surface water resources, rivers/streams, and land use/land cover. Though abundant data is available, not much of it is properly organized and analyzed, which has resulted in limited outcome and wastage of available resources. By making this resource information available to the people at grassroots level in easy and user-friendly manner, planning process could be catalyzed at micro level. Geospatial technologies, i.e., satellite remote sensing, global positioning system (GPS), information technology (IT), and geographic information system (GIS), have the capability in generation and integration of datasets derived from various sources. In recent decades, satellite remote sensing data has improved continuously in terms of the spectral, spatial, and temporal resolutions. This has led to revolutionary change in mapping in two ways – one, in terms of spatial extent, and, two, in terms of information content that can be mapped. Information derived from remote sensing data can be used in conjunction with other field data for prioritization and characterization of areas for micro level planning enabling us to prepare village cadastral level development plans. Further, remote sensing and GIS technology is also used in monitoring and evaluation of the implemented developmental plans mainly to assess the overall improvement in the health of the micro-watershed or gram panchayat (village) and to evaluate the long-term effects and impact of the developmental activities taken up.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Adiga S, Krishna Murthy YVN (2000) Integrated sustainable development of land and water resources using space technology inputs. Space Forum 5:179–202

    Google Scholar 

  • Al-shabeeb AR (2016) The use of AHP within GIS in selecting potential sites for water harvesting sites in the Azraq Basin, Jordan. J Geogr Inf Syst 8:73–88

    Google Scholar 

  • Bernstein R (1983) Manual of remote sensing, vol. 1. American Society of Photogrammetry

    Google Scholar 

  • Dutta D, Sharma JR, Adiga S (2002) Watershed characterization, prioritization, development planning and monitoring – remote sensing approach. ISRO-NNRMS-TR-103-2002. Indian Space Research Organisation, Bangalore

    Google Scholar 

  • FAO (2011) The state of the world’s land and water resources for food and agriculture (SOLAW) – managing systems at risk. Food and Agriculture Organization of the United Nations, Rome and Earthscan, London

    Google Scholar 

  • Gopal Rao K, Nisar Ahamed TR, Murthy JSR (2000) GIS-based fuzzy membership model for crop-land suitability analysis. J Agric Syst 63(2):75–95

    Article  Google Scholar 

  • Gupta RP (2003) Geological applications. In: Remote sensing geology. Springer, Berlin/Heidelberg, pp 429–592

    Google Scholar 

  • Kale P (1992) Sustainable development-Critical issues. J Indian Soc Remote Sens 20(4):183–184

    Article  Google Scholar 

  • Krishna Murthy YVN, Srinivasa Rao S, Srinivasan DS, Radhakrishnan K (1996) Land information systems for rural development. In: IX INCA conference, New Delhi

    Google Scholar 

  • Krishna Murthy YVN, Srinivasa Rao S, Srinivasan DS, Adiga S (2000).A land information system (LIS) for rural development. Geomatics-2000, Pune

    Google Scholar 

  • Manchanda ML, Kudrat M, Tiwari AK (2002) Soil survey and mapping using remote sensing. Trop Ecol 43(1):61–74

    Google Scholar 

  • Mather PM (1999) Land cover classification revisited. In: Atkinson PM, Tate NJ (eds) Advances in remote sensing and GIS analysis. John Wiley, Chichester, pp 7–16

    Google Scholar 

  • Melesse AM, Weng QS, Thenkabail P, Senay GB (2007) Remote sensing sensors and applications in environmental resources mapping and modelling. Sensors (Basel) 7(12):3209–3241

    Article  Google Scholar 

  • National Remote Sensing Agency (NRSA) (1995) Integrated mission for sustainable development. Technical guidelines for field survey and mapping, Hyderabad, p 127

    Google Scholar 

  • National Remote Sensing Centre (NRSC) (2010a) Preparation of geospatial layers using high resolution (Carosat-1 PAN + LISS-IV mx) Ortho rectified satellite imagery. Technical document: manual of space based information for decentralized planning (SIS-DP). National Remote Sensing Centre, Hyderabad, p 237

    Google Scholar 

  • National Remote Sensing Centre (NRSC) (2010b) Manual for national geomorphological and lineament mapping. Technical manual, NRSC-RS&GISAA-ERG-G&GD-FEB’ 10-TR149. NRSC, Hyderabad, p 146

    Google Scholar 

  • Navalgund RR, Jayanthi SC (2004) Role of earth observations for sustainable development: emerging trends. In: Proceedings of XXth ISPRS congress, technical commission VII, July 12–23 2004, Istanbul, Turkey. ISPRS Archives – Volume XXXV, Part B7

    Google Scholar 

  • Navalgund RR, Jayaraman V, Roy PS (2007) Remote sensing applications – an overview. Curr Sci 93(12):1747–1766

    Google Scholar 

  • Openshaw S (1990) Spatial analysis and GIS: a review of progress and possibilities. In: Scholten HJ, Stillwell JCH (eds) Geographic information systems for urban and regional planning. Kluwer, Dordrecht, pp 156–163

    Google Scholar 

  • Oweis T, Oberle A, Prinz D (1998) Determination of potential sites and methods for water harvesting in Central Syria. Adv GeoEcol 31:83–88

    Google Scholar 

  • Oweis T, Prinz D, Hachum AY (2012) Rainwater harvesting for agriculture in the dry areas. CRC Press, London, p 262

    Book  Google Scholar 

  • PAGE (2016) Integrated planning & sustainable development: challenges and opportunities. Partnership for Action on Green Economy (PAGE), UNDP

    Google Scholar 

  • Ramamohana Rao P, Suneetha P (2015) Micro level planning and rural development through remote sensing & GIS. LAP Lambert Academic Publishing, p 200

    Google Scholar 

  • Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26

    Article  Google Scholar 

  • Shanmuganathan (1998) Cost-benefit analysis of remote sensing applications. IIM-Lucknow

    Google Scholar 

  • Sreenivasan G, Gupta AK, Sharma JR (2000) Selection of sites for water harvesting and ground water recharge structures using remote sensing and GIS approach. In: National Seminar on water conservation and drought proofing of arid areas and its people. Social Policy Research Institute, Jaipur, Rajasthan

    Google Scholar 

  • Sreenivasan G, Joshi AK, Krishna Murthy YVN (2010) Role of remote sensing and GIS in integrated watershed development. In: National symposium on “The application of nuclear and space technologies for the benefit of farmers”. Consortium of Indian Farmers Associations (CIFA), Raipur

    Google Scholar 

  • Srinivasa Rao S, Krishna Murthy YVN, Joshi AK, Shantanu B, Das SN, Pandit DS (2003) Computerisation and geo-referencing of cadastral maps in Chhattisgarh State. Technical document. Regional Remote Sensing Service, ISRO, Nagpur

    Google Scholar 

  • Sunitha V, Abdullah Khan J, Ramakrishna Reddy A (2016) Evaluation of groundwater resource potential using GIS and remote sensing application. Int J Eng Res Appl 6(1):116–122

    Google Scholar 

  • Tsiko RG, Haile TS (2011) Integrating geographical information systems, fuzzy logic and analytical hierarchy process in modelling optimum sites for locating water reservoirs – a case study of the Debub District in Eritrea. J Water 3(1):254–290

    Article  Google Scholar 

  • Wang G, Mang S, Cai H, Liu S, Zhang Z, Wang L, Innes JL (2016) Integrated watershed management: evolution, development and emerging trends. J For Res 27(5):967–994

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank the teams of scientists from Regional Remote Sensing Centre, Nagpur, who have contributed in carrying out the different remote sensing application projects, the examples of which have been quoted in this work.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Sreenivasan, G., Krishna Murthy, Y.V.N. (2018). Remote Sensing and GIS Applications in Micro Level Planning. In: Reddy, G., Singh, S. (eds) Geospatial Technologies in Land Resources Mapping, Monitoring and Management. Geotechnologies and the Environment, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-78711-4_29

Download citation

Publish with us

Policies and ethics