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.
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References
Adiga S, Krishna Murthy YVN (2000) Integrated sustainable development of land and water resources using space technology inputs. Space Forum 5:179–202
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
Bernstein R (1983) Manual of remote sensing, vol. 1. American Society of Photogrammetry
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
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
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
Gupta RP (2003) Geological applications. In: Remote sensing geology. Springer, Berlin/Heidelberg, pp 429–592
Kale P (1992) Sustainable development-Critical issues. J Indian Soc Remote Sens 20(4):183–184
Krishna Murthy YVN, Srinivasa Rao S, Srinivasan DS, Radhakrishnan K (1996) Land information systems for rural development. In: IX INCA conference, New Delhi
Krishna Murthy YVN, Srinivasa Rao S, Srinivasan DS, Adiga S (2000).A land information system (LIS) for rural development. Geomatics-2000, Pune
Manchanda ML, Kudrat M, Tiwari AK (2002) Soil survey and mapping using remote sensing. Trop Ecol 43(1):61–74
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
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
National Remote Sensing Agency (NRSA) (1995) Integrated mission for sustainable development. Technical guidelines for field survey and mapping, Hyderabad, p 127
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
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
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
Navalgund RR, Jayaraman V, Roy PS (2007) Remote sensing applications – an overview. Curr Sci 93(12):1747–1766
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
Oweis T, Oberle A, Prinz D (1998) Determination of potential sites and methods for water harvesting in Central Syria. Adv GeoEcol 31:83–88
Oweis T, Prinz D, Hachum AY (2012) Rainwater harvesting for agriculture in the dry areas. CRC Press, London, p 262
PAGE (2016) Integrated planning & sustainable development: challenges and opportunities. Partnership for Action on Green Economy (PAGE), UNDP
Ramamohana Rao P, Suneetha P (2015) Micro level planning and rural development through remote sensing & GIS. LAP Lambert Academic Publishing, p 200
Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26
Shanmuganathan (1998) Cost-benefit analysis of remote sensing applications. IIM-Lucknow
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
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
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
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
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
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
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.
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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
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