ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume VI-3/W1-2020
https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-107-2020
https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-107-2020
17 Nov 2020
 | 17 Nov 2020

DisasterAWARE – A GLOBAL ALERTING PLATFORM FOR FLOOD EVENTS

P. Sharma, J. Wang, M. Zhang, C. Woods, B. Kar, D. Bausch, Z. Chen, K. Tiampo, M. Glasscoe, G. Schumann, M. Pierce, and R. Eguchi

Keywords: Flood forecasting, Alerting, Synthetic Aperture Radar, Model of Models, Impact Assessment, Geospatial Data Fusion

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®.