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  • 标题:EROSION HAZARD MAPPING FOR MICRO-WATERSHED PRIORITIZATION USING REMOTE SENSING AND GIS TECHNIQUES
  • 本地全文:下载
  • 作者:D.G. Durbude ; B. Venkatesh
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2006
  • 卷号:XXXVI Part 4
  • 出版社:Copernicus Publications
  • 摘要:Proper management of watersheds is essential for the conservation of water and land resources and their management for optimum productivity. A comprehensive watershed management programme needs to implement for this purpose, which is having multiple objectives. The assessment of erosion hazard and prioritization of watershed for treatment would be a better planning in combating this menace. While considering the watershed conservation work, it is not feasible to take whole area at once. This requires dividing the watershed in small units by considering its drainage system. As the condition of micro-watersheds may not similar, they can be prioritized for conservation work. The present study was carried out to prioritize the entire watershed area by considering their degradation condition and sensitivity toward erosion. The Universal Soil Loss Equation in conjunction with Remote Sensing and GIS has been utilized for estimating soil loss. Five major land use/cover classes were identified, which are built-up land, agricultural land, barren stony wasteland, wasteland with or without scrubs and water body. Agriculture is the major land use of the area covering 74% of the entire watershed area. For the priority fixing, the entire watershed area has been delineated into five micro- watersheds. The soil loss estimates were computed for all the micro-watersheds and the ranking were performed using the weighted index overlay model. It is found that the micro-watershed no. 1 is having the first ranking and need immediate attention for conservation activities to prevent further land degradation and reduction in productive land
  • 关键词:Land Use/Cover; Watershed Prioritization; Erosion Hazards; Remote Sensing; GIS
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