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Effective Delineation of Urban Flooded Areas Based on Aerial Ortho-Photo Imagery

机译:基于航拍正像图像的城市洪泛区有效划分

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The combination of rapid global urban growth and climate change has resulted in increased occurrence of major urban flood events across the globe. The distribution of flooded area is one of the key information layers for applications of emergency planning and response management. While SAR systems and technologies have been widely used for flood area delineation, radar images suffer from range ambiguities arising from corner reflection effects and shadowing in dense urban settings. A new mapping framework is proposed for the extraction and quantification of flood extent based on aerial optical multi-spectral imagery and ancillary data. This involves first mapping of flood areas directly visible to the sensor. Subsequently, the complete area of submergence is estimated from this initial mapping and inference techniques based on baseline data such as land cover and GIS information such as available digital elevation models. The methodology has been tested and proven effective using aerial photography for the case of the 2013 flood in Calgary, Canada.
机译:全球快速的城市增长与气候变化相结合,导致全球范围内重大城市洪灾事件的发生增加。洪水区的分布是应急计划和响应管理应用的关键信息层之一。虽然SAR系统和技术已被广泛用于洪泛区划定,但雷达图像仍会因角落反射效应和密集城市环境中的阴影而产生范围模糊。提出了一种新的制图框架,用于基于航空光学多光谱图像和辅助数据的洪灾程度的提取和量化。这涉及首先映射传感器直接可见的洪水区域。随后,基于基线数据(例如土地覆盖)和GIS信息(例如可用的数字高程模型),从该初始映射和推断技术中估算出整个淹没区域。对于2013年加拿大卡尔加里发生的洪灾,该方法已通过航拍测试并证明有效。

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