Journal
GISCIENCE & REMOTE SENSING
Volume 51, Issue 4, Pages 403-426Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/15481603.2014.936669
Keywords
Landsat; remote sensing; change detection; mangroves; aquaculture; Thailand
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Funding
- Walker Institute of International and Area Studies at the University of South Carolina
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This paper presents an objective approach for quantifying the amount of mangrove loss caused by expansion of shrimp farms in three villages of Krabi Province, Thailand. Landsat images from three time periods of shrimp farm development (pre-shrimp farms - 1989, development - 2001, and post-development - 2007) were analyzed using unsupervised classification algorithm. A post-classification change detection comparison approach revealed only moderate mangrove exploitation and shrimp farms, which displaced a variety of land-cover types in addition to mangroves. In some cases, there was a detectable cycle of use and replenishment of mangroves and a lack of the boom-bust cycle of shrimp farming that other parts of Thailand experienced.
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