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.
Ying Zhang, Bert Guindon, Don Raymond, and Gang Hong, "Effective delineation of urban flooded areas based on aerial ortho-photo imagery," Proc. SPIE 10008, Remote Sensing Technologies and Applications in Urban Environments, 100080M (Presented at SPIE Remote Sensing: September 27, 2016; Published: 26 October 2016); https://doi.org/10.1117/12.2241128.
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