Flooding is one of the regular natural disasters in Nghe An province and thus monitoring and assessing flood damages have been addressed by the local government and disaster experts. However, the traditional approach to adoption is expensive and time - consuming. In recent years, with the advances in remote sensing techniques and the availability of free satellite data and platforms, flood damage analysis has become easier. This study was mainly focused on flood mapping in Google Earth Engine - a cloud - based analysis platform. Flood inundated map was generated using pre and post flood images of SAR (i.e., Sentinel - 1) which provides data by continuous observation during the flood. A land use/ land cover map was created using pre - flood cloud - free Sentinel - 2 datasets. Flood damage was assessed by overlaying flood inundated maps on land use/ land cover maps. Results showed that a total area of 172.43 km2 was flooded (8.71 % of lowland and coastal plain) in Nghe An province, of which 14.39 km2 was cropland. The findings of this study concluded that combining microwave and optical data for flood mapping and damage assessment in the Google Earth Engine platform is more advantageous and cost - efficient.