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Publication
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| Title of Article |
Forecasting Soil Erosion Risk Using GIS and Remote Sensing for the Nam Un Basin,Sakon Nakhon Province, Thailand |
| Date of Acceptance |
5 November 2022 |
| Journal |
| Title of Journal |
Polish Journal of Environmental Studies |
| Standard |
SCOPUS |
| Institute of Journal |
HARD Pub. Co. |
| ISBN/ISSN |
1230-1485 |
| Volume |
2023 |
| Issue |
32 |
| Month |
2 |
| Year of Publication |
2023 |
| Page |
1767-1780 |
| 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. |
| Keyword |
soil erosion, GIS, RUSLE, AHP, Nam Un Basin |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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