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RAPID FLOOD MAPPING USING SENTINEL-1A IMAGES: A CASE STUDY OF FLOOD IN PANAMARAM, KERALA

机译:使用Sentinel-1A的迅速泛洪映射图片:喀拉拉邦甘地洪水案例研究

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This paper presents a case study of flood mapping in Panamaram village, Wayanad, Kerala, India using SAR dataset. Rapid flood mapping can prove to be critical in decision making during flood due to high socio-economic loss associated. In this study, ground range detected (GRD) images of Sentinel-l mission, which are substantially less utilized, are exploited. Pre-event and post-event GRD images are analyzed in Sentinel Application Platform (SNAP) and extent of flooded area is mapped in GIS framework. The generated results are further validated by comparison of cumulative rainfall data during the flood period provided by Indian Meteorological Department, Thiruvananthapuram. Overall, study looks promising in developing flood maps subject to availability of real-time images.
机译:本文展示了一个案例研究在印度瓦纳德,瓦纳德,瓦纳德,喀拉拉邦的洪水映射,使用SAR DataSet。由于相关的高社会经济损失,快速洪水映射可以证明在洪水期间的决策中至关重要。在该研究中,被利用了检测到的地面范围(GRD)的哨兵-L任务的图像,其基本上不太利用。在Sentinel应用程序平台(SNAP)中分析了前列前和事件后GRD图像,并且在GIS框架中映射了泛洪区域的范围。通过比较印度气象部门,Thiruvananthapuram提供的洪水期间累积降雨数据进行了生成的结果。总体而言,研究在开发洪水贴图时看起来很有希望,但经受实时图像的可用性。

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