Urban flood mapping using Google Earth Engine cloud computing and Sentinel 1 images case study Pul Dokhtar city
Subject Areas : Natural resources and environmental management
1 - Assistant Professor of Geography and Urban Planning, Shahid Bahonar University of Kerman
Keywords: Flood map, Sentinel 1, urban flood, Google Earth engine.,
Abstract :
During natural hazards such as floods, accurate knowledge of its extent is very important for emergency response. Despite numerous efforts, there are still many challenges in automatically processing Sentinel 1 images to produce reliable inundation maps. Currently, there is a knowledge gap in using different polarization combinations of SAR images for flood research. To further investigate this issue, the flood of April 5, 2018, in Pol-e-dokhtar city of Lorestan province was selected as a sample. At first, 10 different combinations of two main polarizations VH and VV are designed. The threshold mapping method was used to check different polar combinations made in flood mapping. To overcome the overestimation of flooded areas, the flood depth estimation algorithm of the Google search engine is used. The results show that among different polarization combinations, the combination of multiplication of squares gives the best performance for flood extent mapping, and then the combinations of division of squares, sum of squares, and VV base polarization perform better in this field. All the analyses were done on the Google Earth platform and this strategy can be used for flood mapping in any other urban environment. The findings of this study can increase the quick assessment and accurate decision-making of relevant authorities concerning urban floods.
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