Monitoring dynamic change of land cover based on SVM and satellite images in Hanoi,Vietnam |
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| Authors: | Jinling Zhao Chuang Liu |
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| Affiliation: | (1) Faculty of Civil Engineering Department of Geodesy and Photogrammetry Engineering Remote Sensing Division, ITU, Istanbul Technical University, 34469 Maslak-Istanbul/Turkey;(2) Faculty of Civil Engineering Department of Environmental Engineering, ITU, Istanbul Technical University, 34469 Maslak-Istanbul/Turkey;(3) Spatial Analysis and Modeling LaboratoryDepartment of Geography , Simon Fraser University, Burnaby, British Columbia, Canada, V5A 1S6 |
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| Abstract: | An integral method, combining support vector machine (SVM) with remote-sensing analysis techniques, was explored to monitor Hanoi’s dynamic change of land cover. The landsat thematic mapper (TM) image in 1993, the enhanced thematic mapper plus (ETM+) image in 2000, and the image with the charge-coupled device camera (CCD) on the China-Brazil earth resources satellite (CBERS) in 2008 were used. Six land-cover types, including built-up areas, woodland, cropland, sand, water body and unused land, were identified. The detected results showed visually the rapid urban expansion as well as land-cover change of Hanoi from 1993 to 2008. There were 12 637.54 hm2 cropland decreased between 1993 and 2000, and 8 227.6 hm2 cropland decreased between 2000 and 2008. Compared with cropland, woodland firstly decreased and then increased, and the other types did not change significantly. The results indicate that CBERS dataset has the application potential in world resources researches. |
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| Keywords: | land cover the China-Brazil earth resources satellite (CBERS) support vector machine (SVM) change detection |
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