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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Foundation item: Supported by the National Natural Science Foundation of China (70873117)
Biography: ZHAO Jinling, male, Ph. D. candidate, research direction: applications of remote sensing and GIS in world natural resources.
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Zhao, J., Liu, C. Monitoring dynamic change of land cover based on SVM and satellite images in Hanoi, Vietnam. Wuhan Univ. J. Nat. Sci. 15, 355–362 (2010). https://doi.org/10.1007/s11859-010-0666-y
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DOI: https://doi.org/10.1007/s11859-010-0666-y
Key words
- land cover
- the China-Brazil earth resources satellite (CBERS)
- support vector machine (SVM)
- change detection