Volume 17, Issue 3 (7-2025)
jorar 2025, 17(3): 138-142 |
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Jahangir E, Faryadras F, Derakhshan H. Detection of Flood Affected Areas Using Radar and Optical Images in the January 2020 Flood in Chabahar City. jorar 2025; 17 (3) :138-142
URL: http://jorar.ir/article-1-921-en.html
URL: http://jorar.ir/article-1-921-en.html
Abstract: (57 Views)
INTRODUCTION: One of the technologies that can have significant results in the field of crisis management is remote sensing, which has the ability to quickly and accurately assess floods and is considered an important and safe tool for reducing risk and responding to this hazard.
METHOD: In this study, radar data was used to quickly estimate the areas affected by the flood in the Chabahar city in January 2020, and the NDWI index (The Normalized Difference Water Index) was used to verify the validity.
FINDINGS: According to the research findings, the use of Sentinel-1 radar satellite data in critical situations such as flooding has a high potential for rapid and accurate monitoring of affected areas. Comparison of the results extracted from radar images with the NDWI index based on Sentinel-2 optical images also showed that although there are differences between the two methods, a significant overlap was recorded between their results, indicating the relative validity of radar data for estimating flooded areas.
CONCLUSION: Overall, it seems that the benefits of using radar images to estimate areas affected by floods are undeniable and that by optimizing the algorithms and methods used, desirable results can be achieved in line with the desired goal.
METHOD: In this study, radar data was used to quickly estimate the areas affected by the flood in the Chabahar city in January 2020, and the NDWI index (The Normalized Difference Water Index) was used to verify the validity.
FINDINGS: According to the research findings, the use of Sentinel-1 radar satellite data in critical situations such as flooding has a high potential for rapid and accurate monitoring of affected areas. Comparison of the results extracted from radar images with the NDWI index based on Sentinel-2 optical images also showed that although there are differences between the two methods, a significant overlap was recorded between their results, indicating the relative validity of radar data for estimating flooded areas.
CONCLUSION: Overall, it seems that the benefits of using radar images to estimate areas affected by floods are undeniable and that by optimizing the algorithms and methods used, desirable results can be achieved in line with the desired goal.
Keywords: Flood, Chabahar, Radar images, Spectral index, Remote sensing, Crisis management, Emergency Operations Center
Article Type: Research article |
Subject:
New educational methods in the management of crisis and disasters
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