4.3 Article

Forecasting Soil Erosion Risk Using GIS and Remote Sensing for the Nam Un Basin, Sakon Nakhon Province, Thailand

Journal

POLISH JOURNAL OF ENVIRONMENTAL STUDIES
Volume 32, Issue 2, Pages 1767-1780

Publisher

HARD
DOI: 10.15244/pjoes/156791

Keywords

soil erosion; GIS; RUSLE; AHP; Nam Un Basin

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Geohazard mapping using remote sensing and GIS is effective in estimating and mapping soil erosion in Nam UN Basin. The study shows that 33.40% of the region is highly prone to severe soil erosion. Decision-makers use soil erosion prognosis analysis and the Analytical Hierarchy Process (AHP) to identify key soil erosion prone locations.
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.

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