Earth Observation to Address Inequities in Post-Flood Recovery

被引:0
|
作者
Friedrich, H. K. [1 ]
Tellman, B. [1 ]
Sullivan, J. A. [1 ]
Saunders, A. [1 ]
Zuniga-Teran, A. A. [1 ]
Bakkensen, L. A. [2 ]
Cawley, M. [3 ]
Dolk, M. [4 ]
Emberson, R. A. [5 ]
Forrest, S. A. [6 ]
Gupta, N. [7 ]
Gyawali, N. [8 ,9 ]
Hall, C. A. [10 ,11 ]
Kettner, A. J. [12 ]
Lozano, J. L. Sanchez [13 ,14 ]
Bola, G. B. [15 ,16 ]
机构
[1] Univ Arizona, Sch Geog Dev & Environm, Tucson, AZ 85719 USA
[2] Univ Arizona, Sch Govt & Publ Policy, Tucson, AZ USA
[3] North Carolina Museum Life & Sci, Durham, NC USA
[4] World Bank, London, England
[5] Univ Maryland Baltimore Cty, NASA Disasters Program, Baltimore, MD USA
[6] Univ Hull, Energy & Environm Inst, Kingston Upon Hull, England
[7] Univ Arizona, Arizona Inst Resilience, Tucson, AZ USA
[8] Agr & Forestry Univ, Rampur Chitwan, Nepal
[9] Lutheran World Relief, Baltimore, MD USA
[10] Univ Arizona, Honors Coll, Tucson, AZ USA
[11] Univ Arizona, Biosyst Engn Dept, Tucson, AZ USA
[12] Univ Colorado, DFO Flood Observ, INSTAAR, Boulder, CO USA
[13] Brigham Young Univ, Dept Civil & Construct Engn, Provo, UT USA
[14] SERVIR Amazonia Program, Lima, Peru
[15] Congo Basin Water Resources Res Ctr, Kinshasa, DEM REP CONGO
[16] Reg Ctr Nucl Studies, Kinshasa, DEM REP CONGO
关键词
earth observation; post-flood recovery; monitoring; evidence-based data; MANAGEMENT; POOR; VULNERABILITY; RESILIENCE; MODEL; LAND;
D O I
10.1029/2023EF003606
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Floods 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.
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页数:11
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