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Prediction of Future Land Use a Border Town Using FLUS Model: A Case Study of Amphoe Chiang Khong Chiang Rai Province |
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| รหัสดีโอไอ | |
| Creator | Wannutcha Thepwong |
| Title | Prediction of Future Land Use a Border Town Using FLUS Model: A Case Study of Amphoe Chiang Khong Chiang Rai Province |
| Contributor | Niti Iamchuen:Boonsiri Sukpromsun, Thidapath Anucharn |
| Publisher | School of Information and Communication Technology, University of Phayao |
| Publication Year | 2565 |
| Journal Title | The Journal of Spatial Innovation Development |
| Journal Vol. | 3 |
| Journal No. | 1 |
| Page no. | 1-14 |
| Keyword | Model, Land use, Artificial Neural Networks, Chiang Khong |
| URL Website | https://ph01.tci-thaijo.org/index.php/jsid/index |
| Website title | The Journal of Spatial Innovation Development |
| ISSN | 2730-1494 |
| Abstract | This study has the objectives for monitoring land use changes a border town in Amphoe Chiang Khong Chiang Rai Province. By using land use data in 2007 and 2016 from Land Development Department (LDD). Land use classification into 10 categories: Agriculture, Forest, Miscellaneous, Urban and Commercial, Residential, Governmental area, Transportation, Industrial, Other and Water body. With 6 physical factors data: Distance from the stream, Dem, slope, annual rainfall, Distance from road and distance from market. Prediction land use analysis with the FLUS model in 2025. The results found that 1) land use comparison in 2016 between simulation and reference data from LDD are overall accuracy 89.30% and 2) prediction land use compare with existing land use in 2016 – 2025 revealed that Forest and Miscellaneous area were decreased in 12,897 และ1,516 (rai) respectively. Agriculture, Village, Water body, Urban and Commercial, Transportation, Industrial, Other and Governmental area were increased in 11,697 952 919 559 116 76 70 24 (rai) respectively. |
