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12 September 2021 Optical remote sensing for urban flood applications: Canadian case studies
Ying Zhang
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Proceedings Volume 11864, Remote Sensing Technologies and Applications in Urban Environments VI; 118640I (2021) https://doi.org/10.1117/12.2599630
Event: SPIE Remote Sensing, 2021, Online Only
Abstract
Floods are the most common disaster in Canada. As results of rapid urbanization and climate changes, both frequency and risks of floods have been increased in Canadian urbanized areas, where the disasters have usually costlier impacts than in rural areas. Imagery data and technologies of optical remote sensing are helpful and can be applied for urban flood response and pre-disaster preparation. Especially high and very high optical remote sensing can be used for precise mapping of the floodwater distribution in dense urban areas and providing key information for disaster response management. In addition, the geospatial information about urban land surface and urban growth derived from optical remote sensing imagery can be the key inputs for urban flood risk analyses. In recent years, several case studies for different urban flood types, including fluvial (Calgary 2013, Ottawa-Gatineau 2017) and pluvial (the Greater Toronto Area) floods in Canada, have been carried out at Canada Centre for Mapping and Earth Observation, Natural Resources Canada. Methodologies/framework for urban floodwater mapping have been developed based on high resolution optical data, as well as the impacts of urban growth on the urban flash flood risks have been investigated using model simulations with remote sensing derived maps as inputs. This presentation demonstrates results from three Canadian urban flood case studies and introduces remote-sensing-based methodologies for different types of urban floods.
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Ying Zhang "Optical remote sensing for urban flood applications: Canadian case studies", Proc. SPIE 11864, Remote Sensing Technologies and Applications in Urban Environments VI, 118640I (12 September 2021); https://doi.org/10.1117/12.2599630
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KEYWORDS
Floods
Remote sensing
Associative arrays
Data modeling
Climate change
Climatology
Optical resolution
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