Estimation of soil loss by USLE Model using Remote Sensing and GIS Techniques - A Case study of Coastal Odisha, India

Autor: R. Srinivasan, Dulal C. Nayak, Surendra Singh, Muniasami Ramesh, Rajendra Hegde
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Eurasian Journal of Soil Science, Vol 8, Iss 4, Pp 321-328 (2019)
Volume: 8, Issue: 4 321-328
Eurasian Journal of Soil Science
ISSN: 2147-4249
Popis: Globally,Soil erosion is the major land degradation problem, which impacts seriously oneconomic and environmental status. Geospatial techniques support and providedquantitative approach to estimate soil erosion in different conditions. In thepresent study, Revised Universal Soil Loss Equation (RUSLE) integrated with GIShas been used to estimate soil loss in the part of coastal Odisha system. Thestudy area, Ganjam block have undulating topography covering 0-35% slopes. Thequantitative soil loss was estimated and classified into different classes andsoil erosion map was generated. The soil erosion map is classified into sevenclasses from very slight (80 t ha-1yr-1). The results indicate that90.9% (22330 ha) of the study area falls in very low erosion category, whichmay be due to level topography and regular vegetation cover. The other erosion classes such as moderate,high and very high erosion occurred in the range of 2.12%, 2.23% and 1.49 %,respectively. The high soil erosion risk is spatially situated in thefoothills and upper steep slope of the area. The results can certainly aid inimplementation of soil management and conservation practices to reduce the soilerosion in the coastal Odisha regions of Eastern India.
Databáze: OpenAIRE