Articles | Volume 22, issue 3
Nat. Hazards Earth Syst. Sci., 22, 753–773, 2022
https://doi.org/10.5194/nhess-22-753-2022

Special issue: Remote sensing and Earth observation data in natural hazard...

Nat. Hazards Earth Syst. Sci., 22, 753–773, 2022
https://doi.org/10.5194/nhess-22-753-2022

Research article 09 Mar 2022

Research article | 09 Mar 2022

Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine

Alexander L. Handwerger et al.

Data sets

NASADEM Merged DEM Global 1 arc second V001 NASA JPL https://doi.org/10.5067/MEaSUREs/NASADEM/NASADEM_HGT.001

Characteristics of landslides triggered by the 2018 Hokkaido Eastern Iburi Earthquake, North Japan S. Zhang, R. Li, F. Wang, and I. I. O. Akinori https://doi.org/10.5281/zenodo.2577300

Rapid Response Landslide Inventory for the 14 August 2021 M7.2 Nippes, Haiti, Earthquake S. N. Martinez, K. E. Allstadt, S. L. Slaughter, R. G. Schmitt, E. Collins, L. N. Schaefer, and S. Ellison https://doi.org/10.5066/P99MYPXK

Model code and software

alhandwerger/GEE_scripts_for_Handwerger_et_al_2022_NHESS A. L. Handwerger https://github.com/alhandwerger/GEE_scripts_for_Handwerger_et_al_2022_NHESS

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Short summary
Rapid detection of landslides is critical for emergency response and disaster mitigation. Here we develop a global landslide detection tool in Google Earth Engine that uses satellite radar data to measure changes in the ground surface properties. We find that we can detect areas with high landslide density within days of a triggering event. Our approach allows the broader hazard community to utilize these state-of-the-art data for improved situational awareness of landslide hazards.
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