Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2219-2017
https://doi.org/10.5194/hess-21-2219-2017
Research article
 | 
26 Apr 2017
Research article |  | 26 Apr 2017

Topography- and nightlight-based national flood risk assessment in Canada

Amin Elshorbagy, Raja Bharath, Anchit Lakhanpal, Serena Ceola, Alberto Montanari, and Karl-Erich Lindenschmidt

Data sets

Earth Observation Group, Version 4 DMSP-OLS Nighttime Lights Time Series NOAA https://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html

Geospatial Data Extraction Natural Resources Canada http://geogratis.gc.ca/site/eng/extraction

North American Land Change Monitoring System, Land cover data Commission for Environmental Cooperation http://www.cec.org/tools-and-resources/map-files/land-cover-2005

Columbia University, Gridded Population of the World, Version 4 (GPWv4), Population Density Adjusted to Match 2015 Revision UN WPP Country Totals CIESIN (Center for International Earth Science Information Network) http://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-density-adjusted-to-2015-unwpp-country-totals

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Short summary
Flood mapping is one of Canada's major national interests. This work presents a simple and effective method for large-scale flood hazard and risk mapping, applied in this study to Canada. Readily available data, such as remote sensing night-light data, topography, and stream network were used to create the maps.