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Use of ENVISAT ASAR Global Monitoring Mode to complement optical data in the mapping of rapid broad-scale flooding in Pakistan

机译:使用ENVISAT ASAR全球监测模式补充光学数据,以绘制巴基斯坦的快速大规模洪水

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摘要

Envisat ASAR Global Monitoring Mode (GM) data are used to produce maps of the extent of the flooding in Pakistan which are made available to the rapid response effort within 24 h of acquisition. The high temporal frequency and independence of the data from cloud-free skies makes GM data a viable tool for mapping flood waters during those periods where optical satellite data are unavailable, which may be crucial to rapid response disaster planning, where thousands of lives are affected. Image differencing techniques are used, with pre-flood baseline image backscatter values being deducted from target values to eliminate regions with a permanent flood-like radar response due to volume scattering and attenuation, and to highlight the low response caused by specular reflection by open flood water. The effect of local incidence angle on the received signal is mitigated by ensuring that the deducted image is acquired from the same orbit track as the target image. Poor separability of the water class with land in areas beyond the river channels is tackled using a region-growing algorithm which seeks threshold-conformance from seed pixels at the center of the river channels. The resultant mapped extents are tested against MODIS SWIR data where available, with encouraging results.
机译:Envisat ASAR全球监测模式(GM)数据用于生成巴基斯坦洪水泛滥的地图,这些地图可在采集后24小时内用于快速响应工作。来自无云天空的数据的高时间频率和独立性使得GM数据成为在没有可用光学卫星数据的时期绘制洪水地图的可行工具,这对于快速响应灾难规划至关重要,因为数千人的生命受到影响。使用图像差分技术,将洪水前的基线图像后向散射值从目标值中扣除,以消除由于体积散射和衰减而产生永久性洪水般雷达响应的区域,并突出显示由露天洪水引起的镜面反射引起的低响应水。通过确保扣除的图像是从与目标图像相同的轨道上获取的,可以减轻局部入射角对接收信号的影响。水域与河道以外区域土地的可分离性差,可以通过区域增长算法解决,该算法从河道中心的种子像素中寻找阈值一致性。在可获得的情况下,针对MODIS SWIR数据对生成的映射范围进行了测试,结果令人鼓舞。

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