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Mexico Disasters: Comparing Feasibility of Flood Detection Methods Using Google Earth Engine and Open Data Cube for Flood Mitigation in Mexico In coordination with out partner's, we identified three case studies for the application of the flood detection algorithms. 

The first case study analyzes the impacts of Hurricane Sally on Villahermosa, Tabasco resulting in urban flooding and impacting adjacent cropland.

The second case study investigates floods in Salto de Agua, Chiapas caused by Hurricane Eta, where the Xanil River level exceeded 14 meters, pouring into the surrounding villages.

Finally, we look further north to Tula de Allende, Hidalgo during Hurricane Ida, where floods collapsed the power supply citywide and caused numerous deaths.
Document ID
20220004584
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
John Willis
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Philip Casey
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Sean Nelsen
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Zachary Silberman
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
March 18, 2022
Publication Date
March 29, 2022
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: DEVELOP Spring 2022
Location: Virtual
Country: US
Start Date: March 29, 2022
Sponsors: National Aeronautics and Space Administration
Funding Number(s)
CONTRACT_GRANT: NNL16AA05C
WBS: 970315.02.02.01.08
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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