Advancing Access to Global Flood Modeling and Alerting using the PDC DisasterAWARE Platform and Remote Sensing Technologies

Advancing Access to Global Flood Modeling and Alerting using the PDC DisasterAWARE Platform and Remote Sensing Technologies. Glasscoe, M., T., Bausch, D., B., Chiesa, C., Hampe, G., Tiampo, K., F., Eguchi, R., T., Huyck, C., K., Pierce, M., E., Wang, J., Chen, Z., Kar, B., & Schumann, G. In American Geophysical Union Fall Meeting, 12, 2019. AGU.
abstract bibtex

Disaster managers face significant challenges in managing essential information for preparedness, response, and recovery efforts. The development of an open access, global flood alerting system for effective classification of potential impacts and the formulation of effective emergency response measures requires incorporation of a wide variety of flood model and remote sensing (RS) data sources from multiple platforms. We seek to rapidly classify flood severity and alerts based on the potential for impacts in a way similar to the USGS PAGER impact analysis for earthquakes. The proposed approach is to use a model of models that leverages existing capabilities and products, as well as the incorporation of RS products for ground-truthing model results and delineation of flood areas. The ground-truthing would provide continued adjustment of parameters in the model of models approach. Administrative area resilience indicators for flood affected areas will support incorporation of vulnerability and lack of capacity into rapid assessment of potential impacts. The work will build on the current DisasterAWARE platform, operated by the Pacific Disaster Center (PDC) and currently providing global multi-hazard alerting and Situational Awareness information to the public. DisasterAWARE supports hazard monitoring and early warning needs of Disaster Managers across the globe, as well as providing the Common Operating Picture in support of US DOD’s humanitarian assistance and disaster response mission. However, the current systems lack global flood alerting or incorporation of a RS component that will allow near real-time validation of simulated flood modeling results. The use of RS images and derivative products will enable users to validate in near real-time the results of high-resolution simulation modeling outputs to be incorporated into DisasterAWARE, and that are often imported into loss estimation software to quantify disaster impacts. The objective is to integrate and leverage publicly-available global flood modeling sources with available RS platforms (satellite and airborne) to produce a robust and comprehensive platform for flood damage assessment and alerting. This will help communities build their capacity and resilience by rapidly responding to flood impacts.

@inproceedings{
 title = {Advancing Access to Global Flood Modeling and Alerting using the PDC DisasterAWARE Platform and Remote Sensing Technologies},
 type = {inproceedings},
 year = {2019},
 month = {12},
 publisher = {AGU},
 day = {9},
 id = {54ad34bd-0b9b-38dc-bf33-b7611b5dded6},
 created = {2020-04-21T21:25:50.160Z},
 accessed = {2020-04-21},
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 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
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 last_modified = {2020-04-21T21:38:35.320Z},
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 abstract = {Disaster managers face significant challenges in managing essential information for preparedness, response, and recovery efforts. The development of an open access, global flood alerting system for effective classification of potential impacts and the formulation of effective emergency response measures requires incorporation of a wide variety of flood model and remote sensing (RS) data sources from multiple platforms.
We seek to rapidly classify flood severity and alerts based on the potential for impacts in a way similar to the USGS PAGER impact analysis for earthquakes. The proposed approach is to use a model of models that leverages existing capabilities and products, as well as the incorporation of RS products for ground-truthing model results and delineation of flood areas. The ground-truthing would provide continued adjustment of parameters in the model of models approach. Administrative area resilience indicators for flood affected areas will support incorporation of vulnerability and lack of capacity into rapid assessment of potential impacts.

The work will build on the current DisasterAWARE platform, operated by the Pacific Disaster Center (PDC) and currently providing global multi-hazard alerting and Situational Awareness information to the public. DisasterAWARE supports hazard monitoring and early warning needs of Disaster Managers across the globe, as well as providing the Common Operating Picture in support of US DOD’s humanitarian assistance and disaster response mission. However, the current systems lack global flood alerting or incorporation of a RS component that will allow near real-time validation of simulated flood modeling results.

The use of RS images and derivative products will enable users to validate in near real-time the results of high-resolution simulation modeling outputs to be incorporated into DisasterAWARE, and that are often imported into loss estimation software to quantify disaster impacts. The objective is to integrate and leverage publicly-available global flood modeling sources with available RS platforms (satellite and airborne) to produce a robust and comprehensive platform for flood damage assessment and alerting. This will help communities build their capacity and resilience by rapidly responding to flood impacts.},
 bibtype = {inproceedings},
 author = {Glasscoe, Margaret T and Bausch, Douglas B and Chiesa, Chris and Hampe, Greg and Tiampo, Kristy French and Eguchi, Ronald T and Huyck, Charles K and Pierce, Marlon Edwin and Wang, Jun and Chen, ZhiQiang and Kar, Bandana and Schumann, Guy},
 booktitle = {American Geophysical Union Fall Meeting}
}

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