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®.

Details

Title
DisasterAWARE – A GLOBAL ALERTING PLATFORM FOR FLOOD EVENTS
Author
Sharma, P 1 ; Wang, J 2 ; Zhang, M 1 ; Woods, C 3 ; Kar, B 4 ; Bausch, D 5 ; Chen, Z 1 ; Tiampo, K 3 ; Glasscoe, M 6 ; Schumann, G 7   VIAFID ORCID Logo  ; Pierce, M 2 ; Eguchi, R 8 

 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 
 Cyberinfrastructure Integration Research Center, Indiana University, Bloomington, IN 47405, USA; Cyberinfrastructure Integration Research Center, Indiana University, Bloomington, IN 47405, USA 
 Geological Sciences, University of Colorado, Boulder, CO 80309, USA; Geological Sciences, University of Colorado, Boulder, CO 80309, USA 
 Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA; Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA 
 Pacific Disaster Center, Kihei, HI 96753, USA; Pacific Disaster Center, Kihei, HI 96753, USA 
 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA 
 Dartmouth Flood Observatory, Hanover, NH 03755, USA; Dartmouth Flood Observatory, Hanover, NH 03755, USA 
 ImageCat Inc., Long Beach, CA 90802, USA; ImageCat Inc., Long Beach, CA 90802, USA 
Pages
107-113
Publication year
2020
Publication date
2020
Publisher
Copernicus GmbH
ISSN
21949042
e-ISSN
21949050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2461074931
Copyright
© 2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.