Abstract
Abstract. Producing flood maps that can be carried out quickly for disaster management applications is essential to reduce the human and socio-economic losses. In addition, mapping and change detection of water bodies as an essential natural resource is imperative for robust operations and sustainable management. Synthetic Aperture Radar (SAR) sensors with long wavelengths have a high potential for delineating the extent of the flooded areas and providing timely and accurate maps of surface water for risk mitigation and disaster or sustainable management. In this study, multi-temporal Sentinel-1 C-band SAR images were utilized to investigate the performance of the sensor backscatter image on permanent water bodies monitoring and flooded areas mapping. Lake Urmia as a permanent water system and two floods in Golestan and Khuzestan provinces of Iran have been investigated. The backscatter values of an image acquired before the event that is referred as an Archive image and another one after the event as a Crisis image are analysed. As a preliminary result, it is concluded that with overlaying of the two bands from Archive and Crisis images and creating a color composite image, the permanent water bodies have a uniformly dark return due to the very low backscatter in both images. The flooded areas and changes in water level show relatively higher backscatter in the Crisis image, whereas the other land cover features indicate very high backscatter values with tones of grey. Therefore, Sentinel-1 SAR data provides beneficial information on flood risk management and change detection.
Highlights
Management of water resources due to the increasing demands, scarcity of resources, socio-economic impacts and other factors has gained widespread currency in terms of sustainable management
According to the data availability and extent coverage of the regions during the flood events, the Ground Range Detected in High resolution (GRDH) Sentinel-1 C-band Synthetic Aperture Radar (SAR) products with VV and VH polarization were acquired from the European Space Agency (ESA) Sentinels Scientific Data Hub in the Interferometric Wide (IW) swath mode
Sentinel-1 SAR backscatter over the time between before and after floods in three different test areas is evaluated
Summary
Management of water resources due to the increasing demands, scarcity of resources, socio-economic impacts and other factors has gained widespread currency in terms of sustainable management. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W18, 2019 GeoSpatial Conference 2019 – Joint Conferences of SMPR and GI Research, 12–14 October 2019, Karaj, Iran mapping, an automatic change detection method based on Sentinel-1 SAR data is presented by (Li, 2018). This is more effective, flexible and robust method in computation time in case of highly unbalanced datasets. Multi-temporal SAR data analysis is conducted to discriminate flooded areas over the permanent water bodies and to produce reliable and accurate maps of surface water
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