National Academy of Agricultural Sciences (NAAS)
|
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Soil erosion is one of the most attentive issues everywhere. The C factor expresses with the impacts of vegetation shelter and ground covers in reducing soil loss. This investigation displays another methodology dependent on Linear Spectral Mixture Analysis (LSMA) of Landsat information to delineate C factor for use in the demonstrating of soil erosion. An interesting component of LSMA is that it assesses the fragmentary wealth of ground shelter and exposed soils all the while, which is fitting for soil erosion investigation. Thus, we evaluated the C factor by using the result of LSMA on a pixel-by-pixel premise. LISS – III picture was utilized for vegetation and ground shelter estimation. Meteorological information were gotten from the State Water DataCenter (SWDC), Gandhinagar for the year of 2008 and 2015. Normalized Difference Vegetation Index (NDVI) was utilized for comparative analysis. The estimated sediment yield of the watershed using LSMA technique was found to be 11.30 and 13.5 t/ha/yr and using NDVI technique was found to be 14.01 and 15.2 t/ha/yr for the year of 2008 and 2015, respectively. Comparative analysis of NDVI and LSMA-derived C-factors also proved that the LSMA generated more accurate erosion estimates for this study area when used as input to SEEMED model. So the LSMA strategy is smarter to use than the NDVI method.
Citations |
 |
 |
 |
 |
