Sustainable management of water resources involves reserve upholding, proficient utilization, and eminence management. Although, activities relating to quantity appraisal and management in terms of river discharge and water resources planning are given attention at the basin level, water quality assessment are still being done at specific locations of major concern. The greatest compensation of using remote sensing data for hydrological investigations and monitoring is its ability to generate information in spatial and temporal domain, which is very crucial for booming scrutiny. The GIS technology provides suitable alternatives for proficient supervision of large and intricate databases. Information from satellites is becoming more and more important for natural resources management and research.
Management could be improved through the use of current technologies including Remote Sensing and Geographic Information System (GIS).The present study was carried out to identify the potential agriculture sites in the Yamuna basin of Uttarkashi district of Uttarakhand .The characterization of natural resources of Yamuna basin of Uttarkashi district was undertaken using satellite imagery (Sentinel -2, LISS IV, LISS III, Aster DEM (30 m) and Survey of India Toposheet to generate several layers of maps such as Watershed Boundaries,Drainage, Soils, Land use and Land cover, Geology, Geomorphology, Lithology,Ground water, Slope and Aspect using Geographic Information System .The most influencing parameters of each layer were chosen based on literature and operational methodologies and they were extensively studied while taking in to consideration their role in determination of potential agriculture sites. Accordingly they were assigned definite weight in order to characterize the sites on basis of their potential Agriculture/Irrigation site values. Individual resources information was integrated in the GIS environment with the help of the weighted sum method to identify potential irrigation sites.Quantile classification was used to get more refined result. Census data sate agriculture department and irrigation department were used to verify the outcomes of result.
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