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EXTRACTION OF FLOODED AREAS DUE THE 2015 KANTO-TOHOKU HEAVY RAINFALL IN JAPAN USING PALSAR-2 IMAGES

机译:利用Palsar-2图像提取2015年Kanto-Tohoku大雨的洪水区

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Triggered by two typhoons, heavy rainfall hit Kanto and Tohoku regions of Japan from September 9 to 11, 2015. Increased river water by the continuous rainfall overflowed and destroyed several river banks and caused damaging floods in wide areas. PALSAR-2 onboard ALOS-2 satellite carried out emergency observation for the impacted areas during and after the heavy rainfall. In this study, two pre-event and four co- and post-event PALSAR-2 images were used to extract the inundation area in Joso city, Ibaraki prefecture. First, using the pre-event SAR intensity image and a detailed topographic map, the backscattering coefficient of river water was investigated. Then the flooded areas were extracted by a common threshold value of backscatter for water bodies in the six temporal images. The colour composite of the sigma naught values was also made to visualize pixels that had been converted from ground to water. Finally, the extracted results were compared with those from the visual interpretation of aerial photographs and field survey reports. This comparison revealed that the accuracy of the flood extraction was fairly good for agricultural lands and non-urban land uses. But for built-up urban areas, it was not easy to extract water body since radar illumination did to reach the ground (water) surface.
机译:从2015年9月9日至11日,由两个台风,大雨降雨量击中了坎托和日本东北地区。连续降雨量增加河水溢出并摧毁了几家河岸,并导致广泛领域造成损坏洪水。 Palsar-2船上Alos-2卫星在大雨降雨期间和之后对受影响的区域进行了紧急观察。在这项研究中,两个先前事件和四个共同事件和事件后的PALSAR-2图像用于提取茨城县济苏市的淹没区。首先,使用先前的SAR强度图像和详细的地形图,研究了河水的反向散射系数。然后通过六个时间图像中的水体的常见阈值提取淹没区域。还对Sigma Naught值的颜色复合物也被制成可视化从地面转换为水的像素。最后,将提取的结果与来自航空照片和现场调查报告的视觉解释的结果进行了比较。这一比较透露,洪水提取的准确性对农业土地和非城市土地使用相当益。但对于建筑城市地区,从雷达照明达到地面(水)表面时,提取水体并不容易。

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