Volume XLII-3/W5 | Copyright
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W5, 1-7, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  29 Oct 2018

29 Oct 2018


G. Chen1,2, W. Ruan2, and J. Zhao2 G. Chen et al.
  • 1Geomatics Engineering Faculty, Kunming Metallurgy College, NO.388 Xuefu Road, Kunming 650033, China
  • 2Faculty of Land Resource Engineering, Kunming University of Science and Technology, No.68 Wenchang Road, 121Street, Kunming 650093, China

Keywords: MODIS, EVI, LSWI, flood monitoring, Mekong river basin

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.