Articles | Volume 22, issue 3
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, Mong-Han Huang, Shannan Y. Jones, Pukar Amatya, Hannah R. Kerner, and Dalia B. Kirschbaum

Data sets

NASADEM Merged DEM Global 1 arc second V001 NASA JPL

Characteristics of landslides triggered by the 2018 Hokkaido Eastern Iburi Earthquake, North Japan S. Zhang, R. Li, F. Wang, and I. I. O. Akinori

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

Model code and software

alhandwerger/GEE_scripts_for_Handwerger_et_al_2022_NHESS A. L. Handwerger

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.
Final-revised paper