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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

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

Int.J.Curr.Microbiol.App.Sci.2020.9(4): 1656-1670
DOI: https://doi.org/10.20546/ijcmas.2020.904.194


Comparative Performance of Linear Spectral Mixture & NDVI Technique by Mapping Sediment Yield using Semmed Model
M. Ghetiya1* and G. R. Patel2
1College of Agricultural Engineering and Technology, Godhra, India
2Department of Soil and Water Conservation Engineering, Godhra, India
*Corresponding author
Abstract:

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.


Keywords: Soil erosion model, Spectral mixture Analysis, SEMMED model, Spectral mixing
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How to cite this article:

Ghetiya. J. M. and Patel. G. R. 2020. Comparative Performance of Linear Spectral Mixture & NDVI Technique by Mapping Sediment Yield using Semmed Model.Int.J.Curr.Microbiol.App.Sci. 9(4): 1656-1670. doi: https://doi.org/10.20546/ijcmas.2020.904.194