FLOOD MAPPING AND PERMANENT WATER BODIES CHANGE DETECTION USING SENTINEL SAR DATA
| Autor: | Rouhollah Nasirzadehdizaji, Ziyadin Cakir, Dilek Eren Akyuz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Synthetic aperture radar
lcsh:Applied optics. Photonics 010504 meteorology & atmospheric sciences Backscatter Flood myth lcsh:T 0211 other engineering and technologies lcsh:TA1501-1820 Image processing 02 engineering and technology Land cover 01 natural sciences Composite image filter lcsh:Technology Water level lcsh:TA1-2040 Environmental science lcsh:Engineering (General). Civil engineering (General) Change detection 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 797-801 (2019) |
| ISSN: | 2194-9034 1682-1750 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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