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C-band SAR Interferometry based flood inundation mapping for Gorakhpur and adjoining areas

机译:基于C波段SAR干涉法的戈拉赫布尔及邻区洪水淹没制图

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SAR or Microwave remote sensing today has proved itself to be a paradigm shift in the field of remote sensing. With its all-weather availability, it has found variety of applications in several fields today. Till now, and mainly, floods have been mapped using optical remote sensing data since a long time. Floods have been a common and yearly catastrophe which the people of areas situated in lesser elevations and on the foothills of mountains in the Terai area must face. Proper mapping of floods can help to delineate the areas with higher loss of life and property thus aiding the relief measures. This study aims to analyze and exploit the potential of SAR Interferometry (InSAR) for flood inundation mapping using a pair of C-Band dual PolSAR datasets from Sentinel-1. The datasets were preprocessed for speckle removal and radiometric corrections. Thereafter, subset of study area was taken, and the datasets were co- registered followed by interferometric processing. The results showed low phase shift in and around the river and to some extent in the urban areas which generally does not happen unless there is an increased single bounce scatter. The topographic phase removed interferogram showed high phase variations in the core of urban areas while coherence map showed an acute loss of coherence from permanent features as well which showed high degree of flood water accumulation. This flood was mapped by masking out the low values of high coherence areas from the image using a proper threshold value. High degree of flooding was observed in Urban areas and much of agricultural land was seen to have been submerged under water once the resulting inundation map was overlaid on Google earth.
机译:如今,SAR或微波遥感已证明是遥感领域的一种范式转变。凭借其全天候的可用性,如今它已在多个领域中找到了各种各样的应用程序。到目前为止,很长一段时间以来,主要是使用光学遥感数据对洪水进行了测绘。洪水一直是每年一次的普遍灾难,位于特莱地区海拔较低和山麓地区的人们必须面对。适当绘制洪水图可以帮助划定生命和财产损失更高的地区,从而有助于采取救灾措施。这项研究旨在使用Sentinel-1中的一对C波段双PolSAR数据集来分析和开发SAR干涉术(InSAR)在洪水淹没制图中的潜力。对数据集进行预处理以去除斑点和进行辐射校正。此后,获取研究区域的子集,并对数据集进行共配准,然后进行干涉处理。结果表明,河流及其周围地区的相移很低,在一定程度上在城市地区通常不会发生,除非出现单个反弹散射。地形相去除的干涉图显示了市区核心地区的高度相位变化,而相干图则显示了永久性特征导致的相干性急剧下降,这也表明了洪水的高度聚集。通过使用适当的阈值掩盖图像中高相干区域的低值来映射此泛洪。一旦将最终的淹没图覆盖在Google地球上,就可以在城市地区看到高度的洪水泛滥,并且许多农业用地都被淹没在水下。

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