Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti

Pukar Amatya (), Corey Scheip, Aline Déprez, Jean-Philippe Malet, Stephen L. Slaughter, Alexander L. Handwerger, Robert Emberson, Dalia Kirschbaum, Julien Jean-Baptiste, Mong-Han Huang, Marin K. Clark, Dimitrios Zekkos, Jhih-Rou Huang, Fabrizio Pacini and Enguerran Boissier
Additional contact information
Pukar Amatya: University of Maryland Baltimore County
Corey Scheip: BGC Engineering
Aline Déprez: CNRS - University of Strasbourg
Jean-Philippe Malet: CNRS - University of Strasbourg
Stephen L. Slaughter: U.S. Geological Survey
Alexander L. Handwerger: California Institute of Technology
Robert Emberson: University of Maryland Baltimore County
Dalia Kirschbaum: NASA Goddard Space Flight Center
Julien Jean-Baptiste: CNRS - University of Strasbourg
Mong-Han Huang: University of Maryland
Marin K. Clark: University of Michigan
Dimitrios Zekkos: University of California
Jhih-Rou Huang: University of California
Fabrizio Pacini: Terradue Srl
Enguerran Boissier: Terradue Srl

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 118, issue 3, No 22, 2337-2375

Abstract: Abstract On August 14, 2021, a Mw 7.2 earthquake struck the Tiburon Peninsula of western Haiti triggering thousands of landslides. Three days after the earthquake on August 17, 2021, Tropical Storm Grace crossed shallow waters offshore of southern Haiti triggering more landslides worsening the situation. In the aftermath of these events, several organizations with disaster response capabilities or programs activated to provide information on the location of landslides to first responders on the ground. Utilizing remote sensing to support rapid response, one organization manually mapped initiation point of landslides and three automatically detected landslides. The 2021 Haiti event also provided a unique opportunity to test different automated landslide detection methods that utilized both SAR and optical data in a rapid response scenario where rapid situational awareness was critical. As the methods used are highly replicable, the main goal of this study is to summarize the landslide rapid response products released by the organizations, detection methods, quantify accuracy and provide guidelines on how some of the shortcomings encountered in this effort might be addressed in the future. To support this validation, a manually mapped polygon-based landslide inventory covering the entire affected area was created and is also released through this effort.

Keywords: 2021 Nippes earthquake; Tropical Storm Grace; Haiti; Landslides; Rapid response; Satellite imagery (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-023-06096-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:118:y:2023:i:3:d:10.1007_s11069-023-06096-6

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-023-06096-6

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().