Article

Integrated Water Resource Development Plan for Sustainable Management of Mayurakshi Watershed, India using Remote Sensing and GIS

Water Resources Management (Impact Factor: 2.6). 01/2009; 23(8):1581-1602. DOI: 10.1007/s11269-008-9342-9

ABSTRACT Integrated watershed management requires a host of inter-related information to be generated and studied in relation to each
other. Remote sensing technique provides valuable and up-to-date spatial information on natural resources and physical terrain
parameters. Geographical Information System (GIS) with its capability of integration and analysis of spatial, aspatial, multi-layered
information obtained in a wide variety of formats both from remote sensing and other conventional sources has proved to be
an effective tool in planning for watershed development. In this study, area and locale specific watershed development plans
were generated for Mayurakshi watershed, India using remote sensing and GIS techniques. Adopting Integrated Mission for Sustainable
Development (IMSD) guidelines, decision rules were framed. Using the overlay and decision tree concepts water resource development
plan was generated. Indian Remote Sensing Satellite (IRS-1C), Linear Imaging Self Scanner (LISS-III) satellite data along
with other field and collateral data on lithology, soil, slope, well inventory, fracture have been utilized for generating
land use/land cover and hydro geomorphology of the study area, which are an essential prerequisites for water resources planning
and development. Spatial data integration and analyses are carried out in GIS environment.

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    • "The GIS is a computer program that can manage a large amount of physical spatial data (but also social data) in an effective way (Moody and Ast, 2012). In the literature, use of GIS for water management is increasing, especially when evaluating the sustainability of water management options (Chowdary et al., 2009), because sustainable water management considers a wide number of variables. When working with spatially distributed climate, soils and land-use variables, the amount of data can be high (Satti and Jacobs, 2004). "
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    • "Remote sensing is identified as an important tool supporting the management of natural resources and agricultural practices for wider spatial coverage. Thus, daily evapotranspiration models derived from remote sensing techniques are better suited the estimation of crop water use at a regional agriculture scale (Allen et al. 2007; Chowdary et al. 2009; Muthuwatta et al. 2010). "
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    • "In addition, the temporal resolution of AATSR and MERIS imagery is very high (3 days). This advantage supports decision makers to take into account the different phenology phases of the cultivated crops and fine-tune their water management plans in real time (Chowdary et al. 2009; Giardino et al. 2010). "
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