Abstract
Abstract. In this paper, used MODIS satellite image (MOD13) for monitoring the progress of flood in Mekong River Basin and testing the flood forecasting method for the Mekong Delta in flooding stage of 2015. The results showed that (80% reliability): MODIS image can be used to monitor the progress of flood in large areas of the Mekong River Basin. There was a close relationship between enhanced vegetation index EVI, land surface water index LSWI with growth status of plants and surface water of the flood. Risk flood maps during the flood season of the study area were established as the basis for developing the flood forecasting method applied to the Mekong Delta. With accuracy about 91%, this flood forecast method opened a new direction for researching about environmental disasters using the resource of satellite image at low cost. Therefore, it should use these images for monitoring the process, forecasting flood capability and other related fields in combination with other types of vegetation indices.
Highlights
In recent years, due to the effects of climate change, Mekong Delta (MRD) has experienced several major floods, most of which are caused by the floods from Mekong upstream(LV,et al, 2014; K., et al, 2010)
Through using multispectral- multi-time MODIS remote sensing images provided by NASA in combination the DEM (Digital Elevation Model), the progress of the Mekong River Basin Flood can be monitored as the basis for flood prediction at Mekong Delta
The research was conducted with the aim of: (1) Evaluating the possibility of using the multi-time MODIS images to monitor the progress of Mekong River Basin floods; (2) Proposing the solutions to forecasting the Mekong Delta flood progress in the flooding period in 2015
Summary
Due to the effects of climate change, Mekong Delta (MRD) has experienced several major floods, most of which are caused by the floods from Mekong upstream(LV,et al, 2014; K., et al, 2010). The remote sensing image technology is a tool used to track, monitor and support the flood prediction. There are many researches for its application of the flood prediction model in the Mekong Delta(ZHONG, et al, 2011;ZHEN, et al, 2011;XIE, et al, 2016). Through using multispectral- multi-time MODIS remote sensing images provided by NASA in combination the DEM (Digital Elevation Model), the progress of the Mekong River Basin Flood can be monitored as the basis for flood prediction at Mekong Delta. The research was conducted with the aim of: (1) Evaluating the possibility of using the multi-time MODIS images to monitor the progress of Mekong River Basin floods; (2) Proposing the solutions to forecasting the Mekong Delta flood progress in the flooding period in 2015
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