India being an agrarian country depends heavily on rainfall and soil resources. Soil is a vital natural resource for the production of food and fibre to fulfil the necessities of society for its sustainable development. Soil that produces these renewable natural resources is essentially non-renewable. The erosion of such soil is accelerating at a faster pace with the increase in land use. Keeping this in view, a study on KOTGIR watershed of Nizamabad district is conducted to identify areas subjected to soil erosion and to prepare a map showing erosion intensity zones so as to apply remedial measures to arrest the erosion of soil on watershed basis. This watershed is highly drought prone and the study mainly deals with its management using the satellite data analysis and drainage morphometric data analysis. The remotely sensed data in the form of Geocoded False Color Composite (FCC) of IRS-IB LISS HA satellite sensing system, obtained from NRSA is used to prepare thematic maps namely land use / land cover and hydrogeomorphological maps. Slope, contour and drainage maps of study area are also prepared from Survey of India toposheet. The drainage morphometry including hypsometric analysis (area-altitude) is applied on the watershed and derived the erodibility characteristics. Various drainage morphometric elements considered are slope components, shape components, drainage components, geological components and hypsometric components which are computed with the help of drainage map and contour map to evaluate the geomorphic stage of the basin. The sediment yield is computed by dividing the entire watershed into sub-watersheds and using the statistical regression techniques. A detailed analysis is then carried out on the results of satellite data analysis and morphometric data analysis. The paper based maps are converted to its corresponding digital database using the process of digitization. The integrated study is performed in conjunction with socio-economic data collected from field survey. The integrated study is carried out on a GIS platform namely Arc/Info & Arc View. This study leads to the preparation of an Erosion-Intensity.
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