The research approach is to use the Normalized Difference Vegetation Index (NDVI) for monitoring the rice crop pattern
Temperature Vegetation Dryness Index (TDVI) for estimating the land surface moisture
and time series data of EVI, LSWI and DVEL were used to map flood distribution. By classification time series data extracted from MODIS images from 2000 to 2011, the study has identified rice cultivation areas frequently affected by drought or flood in the Vietnamese Mekong Delta. This research also determined the suitable rice farming systems for 9 agricultural ecology zones as well as the solutions to integrate different indices as ND VI, TVDI and LSWI for monitoring rice farming system related to drought and flood impacts. The datasets of rice farming system, drought and flood in the Vietnamese Mekong Delta and the approach using remote sensing technology achieved from this research are helpful that can be applied for agriculture management and land use planning in this area.