Floods are among the most frequent natural disasters caused by meteorological phenomena. Remote sensing data can determine the extent of flooding over large geographical areas, providing an advantage over in situ data sources where the information can have limited spatial and temporal resolution whilst being costly to acquire. Flood detection using Synthetic Aperture Radar (SAR) data has attracted considerable attention in recent years. The main objective of this study was to detection of flood prone areas in Haraz watershed, Mazandaran Province, using multi-temporal SENTINEL-1 data. The images have been acquired through the Sentinels Scientific Data Hub. Images, which are taken in the separate days and positions are able to identify occurred changes between two images. Two satellite imageries in 05 October 2016 and 23 November 2017 of the same place and the same position (For topographic issues at different positions) are generally used to flood prone areas detection in the study area by using InSAR technique. Digital image processing and analysis of the satellite data was carried out using SNAP and ENVI 5.1 software, while the manipulation of the spatial information was made using ArcGIS 10.2. However, with help of the Google Earth images the flood prone areas were checked and digitized. Results indicate that the visual interpretation of flood prone area in the Haraz watershed using multi-temporal SENTINEL-1 data with the assist of Google Earth is a robust and efficient way to extract of flood prone areas in the study area.
