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Watershed Classification in an Unclassified Area to Analyze Landform Using Geographic Information System and Various Digital Elevation Models |
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| รหัสดีโอไอ | |
| Creator | Sirichai Duangngoen |
| Title | Watershed Classification in an Unclassified Area to Analyze Landform Using Geographic Information System and Various Digital Elevation Models |
| Contributor | Wanchai Arunpraparut, Piyapong Tongdeenok |
| Publisher | Kasetsart University |
| Publication Year | 2564 |
| Journal Title | Thai Journal of Forestry |
| Journal Vol. | 40 |
| Journal No. | 1 |
| Page no. | 108-122 |
| Keyword | Watershed classification, Digital elevation model |
| URL Website | https://li01.tci-thaijo.org/index.php/tjf/article/view/249269 |
| Website title | Thai Journal of Forestry |
| ISSN | 2730-2180 |
| Abstract | The objective of this study was to classify some parts of watershed areas in Huai Khayung, Lam Dom Yai, and Lam Dom Noi that were unclassified. The classification was done according to a Cabinet Resolution for the Mun-Chee watershed, classified using the digital elevation model data from TERRA satellite data (ASTER GDEM) and L7017, L7018 topographic series maps constructed by the Royal Thai Survey Department. The results were compared with the watershed classification done using some classified cabinet resolutions area. When comparing the accuracy and consistency of watershed classification at the same locations, the results indicated that the watershed classification using digital elevation model from the L7018 map data was the most accurate, followed by the classification done using the digital elevation model from the L7017 map data and the watershed classification using the digital elevation model using ASTER GDEM with an accuracy of 85.01%, 83.47%, and 61.66%, respectively. The consistency among the L7017, L7018 topographic series map, and ASTER GDEM methodologies was moderate (Kappa=0.60), moderate (Kappa=0.56), and fair (Kappa=0.29), respectively. We conclude that using a digital elevation model and topographic map data, which contains near-real time topographic altitude data, is more accurate and consistent than the digital elevation model using ASTER GDEM. Landform data production of Missouri Resource Assessment Partnership (MORAP) could be applied suitably in this study area. |
