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Ground truth mapping with multi-temporal earth observation data in ESA CloudTool box: A case of Kerala flood event occurred in 2018

机译:在ESA CloudTool框中使用多时相地球观测数据进行地面真相映射:2018年发生的喀拉拉邦洪水事件

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Kerala received an extensive rainfall during Jul-Aug 2018 which led to disastrous flood condition in many places of Kerala state. Optical Remote Sensing (RS) images acquired during the flood event with low cloud cover are used for ground truth mapping. Earth Observation (EO) images from three satellite, i.e., Sentinel-2, Landsat-8 and World View-3 are used. Two indices, i.e. Green Normalized Difference Vegetation Index (GNDVI) and Modified Normalized Difference Water Index (MNDWI) are used to analyze the flood pattern in the study area. A hybrid approach involving thresholding the indices combined with manual digitization is carried out for ground truth flood area extraction. Here, we used the CloudToolbox service provided by the European Space Agency (ESA) to process and analyze the Earth Observation (EO) data. From the images, it is quite evident that the flood water was increased from 12 Aug - 22 Aug 2018 and started receding by 27 Aug 2018.
机译:喀拉拉邦在2018年7月至8月期间暴雨,导致喀拉拉邦许多地方的洪水泛滥。在洪水事件期间以低云量覆盖获取的光学遥感(RS)图像用于地面真相映射。使用了来自三颗卫星(即Sentinel-2,Landsat-8和World View-3)的地球观测(EO)图像。使用两个指标,即绿色归一化植被指数(GNDVI)和修正归一化水分指数(MNDWI)来分析研究区域的洪水模式。采取了一种混合的方法,包括对指数进行阈值处理和手动数字化,以提取地面真相洪水区域。在这里,我们使用了欧洲航天局(ESA)提供的CloudToolbox服务来处理和分析地球观测(EO)数据。从图像中可以很明显地看出,洪水从2018年8月12日至8月22日有所增加,并在2018年8月27日开始逐渐消退。

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