Monitoring Dynamic Change of Land Cover Based on SVM and Satellite Images in Hanoi,Vietnam

来源 :Wuhan University Journal of Natural Sciences | 被引量 : 0次 | 上传用户:ggg_0907
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An integral method,combining support vector ma-chine (SVM) with remote-sensing analysis techniques,was ex-plored to monitor Hanoi’s dynamic change of land cover. The landsat thematic mapper (TM) image in 1993,the enhanced the-matic 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 de-creased between 1993 and 2000,and 8 227.6 hm2 cropland de-creased between 2000 and 2008. Compared with cropland,wood-land 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. An integral method, combining support vector ma-chine (SVM) with remote-sensing analysis techniques, was ex-plored to monitor Hanoi’s dynamic change of land cover. The landsat thematic mapper (TM) image in 1993, the enhanced the-matic 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 The detected results showed clearly showed rapid urban expansion as well as land-cover change of Hanoi from 1993 to 2008. There were 12 637.54 hm2 cropland de-creased between 1993 and 2000 , and 8 227.6 hm2 cropland de-creased between 2000 and 2008. Compared with cropland, wood-land first decreased decreased then then, and the other types did not change significantly. The results indicate that CBERS dataset has the application potential in world resources rese .
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