Open AccessTemporal Variation in Water Induced Soil Erosion by RUSLE Model Using Remote Sensing and GIS
Author(s) -
A. Bhadra,
H. Lalramnghaki,
L. G. Kiba,
Arnab Bandyopadhyay
Publication year - 2018
Publication title -
epic series in engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2516-2330
DOI - 10.29007/271c
Subject(s) - universal soil loss equation , environmental science , erosion , hydrology (agriculture) , soil loss , advanced spaceborne thermal emission and reflection radiometer , normalized difference vegetation index , water erosion , soil science , digital elevation model , physical geography , soil water , remote sensing , geology , climate change , geography , geomorphology , oceanography , geotechnical engineering
Soil erosion by various agents is one of the major threats of land degradation throughout the world. Revised Universal Soil Loss Equation model integrated with remote sensing and GIS was employed to assess soil erosion in the Mago basin of Arunachal Pradesh, India for a period of ten years (2004–2013). The rainfall erosivity (R-factor) was calculated using ten years rainfall data. ASTER DEM of 30 m resolution was used to generate the LS-factor map. Soil map and soil samples were analyzed to generate soil erodibility (K) map. MODIS NDVI images were used to obtain C-factor maps. The average annual soil loss was estimated and spatial and temporal variations of annual soil erosion were analyzed. The largest portion of the snow or glacier free area was observed under slight erosion and the rest of the area under moderate to very severe erosion risk zones. The temporal variation in the area under slight soil erosion showed a decreasing trend. Increasing trends were observed over the years in areas under moderate to very severe soil erosion classes. The average soil loss by water for each year crossed permissible soil loss limit of 12 t ha-1 year-1 except for the year 2006.