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Remote Sensing and GIS for Soil Erosion Prone areas Assessment: A case study from Kalrayan hills, Part of Eastern Ghats, Tamil Nadu, India

2011; Scholars Research Library; Volume: 3; Issue: 6 Linguagem: Inglês

0975-508X

R. Sakthivel, N. Jawahar Raj. V. Pugazhendi, Sankaran Rajendran, A. Alagappamoses,

Hydrological Forecasting Using AI

In this present study, the soil erosion assessment and conservation measures in hill ecosystem is carried out in the Kalrayan hills, Part of Eastern ghats, Tamil Nadu using Remote Sensing and GIS techniques. The geocoded digital data of IRS P6 LISS ‐ III (P101-R65 of 2001) and Survey of India toposheets (1971) were interpreted and var ious thematic maps such as drainage, lineaments, geomorphology, land use/land cover and slope maps have been prepared. After assigning the weightage factors for each of the par ameters they were overlayed and integrated it one another and various soil erosion prone areas we re demarcated. GIS integration was carried out using Arc GIS to assess the soil erosion by ove rlaying the following maps such as lineament density, drainage density, geomorphology, slopes an d land use / land cover. The results of interpretation and analysis show that the following areas such as Karnelli, Uppur, Pattivalavu, Arampundi, Vellar, Tekkampattu and Karumanturai are highly prone for soil erosion.