Earth Observation to Address Inequities in Post‐Flood Recovery

Author:

Friedrich H. K.1ORCID,Tellman B.1ORCID,Sullivan J. A.1ORCID,Saunders A.1ORCID,Zuniga‐Teran A. A.1,Bakkensen L. A.2,Cawley M.3,Dolk M.4,Emberson R. A.5ORCID,Forrest S. A.6,Gupta N.7,Gyawali N.89,Hall C. A.1011ORCID,Kettner A. J.12ORCID,Lozano J. L. Sanchez1314ORCID,Bola G. B.1516

Affiliation:

1. School of Geography, Development and Environment University of Arizona Tucson AZ USA

2. School of Government and Public Policy University of Arizona Tucson AZ USA

3. North Carolina Museum of Life and Science Durham NC USA

4. World Bank London UK

5. NASA Disasters Program/University of Maryland Baltimore County Baltimore MD USA

6. Energy and Environment Institute University of Hull Hull UK

7. Arizona Institute for Resilience University of Arizona Tucson AZ USA

8. Agriculture and Forestry University Rampur Chitwan Nepal

9. Lutheran World Relief Baltimore MD USA

10. The Honors College University of Arizona Tucson AZ USA

11. Biosystems Engineering Department University of Arizona Tucson AZ USA

12. DFO—Flood Observatory INSTAAR University of Colorado Boulder CO USA

13. Department of Civil and Construction Engineering Brigham Young University Provo UT USA

14. SERVIR‐Amazonia Program Lima Peru

15. Congo Basin Water Resources Research Center Kinshasa Democratic Republic of the Congo

16. Regional Center for Nuclear Studies Kinshasa Democratic Republic of the Congo

Abstract

AbstractFloods impact communities worldwide, resulting in loss of life, damaged infrastructure and natural assets, and threatened livelihoods. Climate change and urban development in flood‐prone areas will continue to worsen flood‐related losses, increasing the urgency for effective tools to monitor recovery. Many Earth Observation (EO) applications exist for flood‐hazard monitoring and provide insights on location, timing, and extent in near real‐time and historically to estimate flood risk. Less attention has been paid to flood recovery, even though differing recovery rates and outcomes can have immediate and enduring distributional effects within communities. EO data are uniquely positioned to monitor post‐flood recovery and inform policy on hazard mitigation and adaptation but remain underutilized. We encourage the EO and flood research community to refocus on developing flood recovery applications to address growing risk. Translation of EO insights on flood recovery among flood‐affected communities and decision‐makers is necessary to address underlying social vulnerabilities that exacerbate inequitable recovery outcomes and advocate for redressing injustices where disparate recovery is observed. We identify an unequivocal need for EO to move beyond mapping flood hazard and exposure toward post‐flood recovery monitoring to inform recovery across geographic contexts. This commentary proposes a framework for remote sensing scientists to engage community‐based partners to integrate EO with non‐EO data to advance flood recovery monitoring, characterize inequitable recovery, redistribute resources to mitigate inequities, and support risk reduction of future floods.

Publisher

American Geophysical Union (AGU)

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