ORIGINAL RESEARCH
Forecasting Soil Erosion Risk Using GIS and Remote Sensing for the Nam Un Basin, Sakon Nakhon Province, Thailand
 
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Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
 
 
Submission date: 2022-06-28
 
 
Final revision date: 2022-11-05
 
 
Acceptance date: 2022-11-21
 
 
Online publication date: 2023-02-09
 
 
Publication date: 2023-03-14
 
 
Corresponding author
Supasit Konyai   

Agricultural Engineering, Khon Kaen University, Mittraphap road, 40002, Khon Kaen, Thailand
 
 
Pol. J. Environ. Stud. 2023;32(2):1767-1780
 
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ABSTRACT
Geohazard mapping using remote sensing and GIS is effective. Nam UN classic terrain with soil erosion and other geohazards. The Nam UN Basin’s yearly soil loss and high erosion potential are estimated using RUSLE, remote sensing, and GIS. 14.26 t/ha/year of soil erosion is seen on the map. Soil erosion zones are also shown on the map. According to the study, 33.40 percent of the whole area (457.07 kilometers) is prone to severe soil erosion, while 7.72 percent (105.76 kilometers) is prone to high erosion. To decrease soil erosion, decision-makers use soil erosion prognosis analysis. The Analytical Hierarchy Process (AHP) was utilized to identify key soil erosion prone locations by incorporating geo-environmental variables such land use/land cover, geomorphology, Dem, drainage density, slope, elevation, LS factor, rainfall, soil texture, and soil depth. 33.40% of the region is highly prone to soil erosion.
eISSN:2083-5906
ISSN:1230-1485
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