Daily Global Landslide Hazard Map

  • Released Tuesday, September 30, 2025
  • Last updated Monday, September 29, 2025 at 3:33 PM EDT
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Global landslide risk assessment map with color-coded hazard levels ranging from red (very high risk) to yellow (low risk). Red areas indicate the highest landslide risk, orange shows elevated risk, and yellow represents low risk areas.

Daily global landslide risk assessment from the LHASA (Landslide Hazard Assessment for Situational Awareness) model. Color-coded hazard levels range from red (very high risk) to yellow (low risk), helping users identify areas where landslides may occur.

Landslides are a widespread and often underestimated natural hazard, causing thousands of deaths and significant economic damage each year. They routinely block roads, destroy infrastructure, and disrupt communities worldwide. While intense or prolonged rainfall is the most common landslide trigger, earthquakes and human activities can also cause them.
The global Landslide Hazard Assessment for Situational Awareness (LHASA) model provides users with a comprehensive view of landslide hazard in near real-time. Using machine learning, LHASA combines rainfall data from the Global Precipitation Measurement (GPM) satellite with antecedent soil moisture from the Soil Moisture Active Passive (SMAP) satellite to identify areas currently at risk from landslides. The model shows where and when landslides are most probable, then calculates the exposed population and road length within each administrative district, helping users understand both the hazard and potential impacts on communities and infrastructure.

To learn more please visit: https://landslides.nasa.gov/

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Related papers

Better Satellite Precipitation Algorithms Slightly Improved Landslide Hazard Assessment.

Stanley, T. A., J. R. P. Sutton, R. S. Vershel, and P. M. Amatya, 2025: Better Satellite Precipitation Algorithms Slightly Improved Landslide Hazard Assessment. J. Appl. Meteor. Climatol., 64, 1379–1394, https://doi.org/10.1175/JAMC-D-25-0021.1.

DOI: https://doi.org/10.1175/JAMC-D-25-0021.1

This paper can be found at: https://journals.ametsoc.org/view/journals/apme/64/10/JAMC-D-25-0021.1.xml

New global characterisation of landslide exposure

Emberson, R., Kirschbaum, D., and Stanley, T.: New global characterisation of landslide exposure, Nat. Hazards Earth Syst. Sci., 20, 3413–3424, https://doi.org/10.5194/nhess-20-3413-2020, 2020

DOI: https://doi.org/10.5194/nhess-20-3413-2020

This paper can be found at: https://nhess.copernicus.org/articles/20/3413/2020/

Datasets used

Note: While we identify the data sets used on this page, we do not store any further details, nor the data sets themselves on our site.

This page was originally published on Tuesday, September 30, 2025.
This page was last updated on Monday, September 29, 2025 at 3:33 PM EDT.