- 期刊
- OpenAccess
Detecting Flooding Trends in the Mekong Delta through Flood Ranking Based on a MODIS-derived Time-series Water Index
摘要
The upper part of the Mekong Delta typically suffers heavy floods from September to November each year due to runoff from the Mekong River. On the Vietnamese side of the delta, the area of paddy fields surrounded by high dykes in order to allow continued rice cultivation throughout the flooding period has been rapidly increasing since the mid-2000s. In this study, we show how the effects of high dyke construction on the flooding characteristics of surrounding areas can be detected using the normalised difference water index (NDWI) of MODIS images. Clusters generated by a k-means analysis for each year from 2000 to 2015 were ranked based on their median NDWI value. Trends of flood rankings for different pixels during the 16-year period suggest that the potential for flooding increased in the regions upstream of high dykes that are situated at the top of the delta.
延伸閱讀
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