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This study aims to examine the changes of mangrove forest associations and possible reasons for changes via the Can Gio biosphere reserve, Viet Nam case study by using SPOT imagery, objectbased image analysis, and the Support Vector Machine classifier. The highest overall accuracy of this combination was 81.6%, confirming the applicability of using remote sensing on evaluating the development of mangrove...
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