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Abstract
The rising number of flooding events combined with increased urbanization is contributing to significant economic losses due to damages to structures and infrastructures. From a risk reduction and resilience perspective, it is not only essential to forecast flood risk and potential impacts, but also to disseminate the information to stakeholders on the ground for rapid implementation of mitigation and response measures. This paper provides (i) an introduction to DisasterAWARE®, a global alerting system, that is used to disseminate flood risk information to stakeholders across the globe, and (ii) a discussion of the models implemented using earth observation data (Synthetic Aperture Radar and optical imagery) for near real-time assessment of flood severity and potential flood impacts to infrastructures. While the models are still in their nascent stage, a case study implementation of the models for the 2020 flooding event in Africa is presented to showcase the model integration with DisasterAWARE®.
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1 School of computing and engineering, University of Missouri, Kansas City, Kansas City, MO 64110, USA; School of computing and engineering, University of Missouri, Kansas City, Kansas City, MO 64110, USA
2 Cyberinfrastructure Integration Research Center, Indiana University, Bloomington, IN 47405, USA; Cyberinfrastructure Integration Research Center, Indiana University, Bloomington, IN 47405, USA
3 Geological Sciences, University of Colorado, Boulder, CO 80309, USA; Geological Sciences, University of Colorado, Boulder, CO 80309, USA
4 Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA; Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
5 Pacific Disaster Center, Kihei, HI 96753, USA; Pacific Disaster Center, Kihei, HI 96753, USA
6 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
7 Dartmouth Flood Observatory, Hanover, NH 03755, USA; Dartmouth Flood Observatory, Hanover, NH 03755, USA
8 ImageCat Inc., Long Beach, CA 90802, USA; ImageCat Inc., Long Beach, CA 90802, USA