| FLOOD MAPPING AND PERMANENT WATER BODIES CHANGE DETECTION USING SENTINEL SAR DATA |
| Paper ID : 1380-SMPR |
| Authors: |
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Rouhollah Nasirzadehdizaji *1, Dilek Eren Akyuz2, Ziyadin Cakir3 1Civil Engineering Department, Engineering Faculty, Istanbul University, 34320 Avcılar, Istanbul, Turkey 2Civil Engineering Department, Engineering Faculty, Istanbul University-Cerrahpasa, 34320 Avcılar, Istanbul, Turkey 3Department of Geology, Faculty of Mines, Istanbul Technical University, Maslak, Istanbul 34469, Turkey |
| 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 has been investigated. An image acquired before the event that is referred to as an Archive image and after the event as a Crisis image and the backscatter values were analyzed. 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. |
| Keywords: |
| Sentinel-1, SAR, Image Processing, Flood Mapping, Flood Risk Management, Change Detection |
| Status : Conditional Accept (Oral Presentation) |
