Landslides\n are a widespread and often underestimated natural hazard, causing \nthousands of deaths and significant economic damage each year. They \nroutinely block roads, destroy infrastructure, and disrupt communities \nworldwide. While intense or prolonged rainfall is the most common \nlandslide trigger, earthquakes and human activities can also cause them.<\/div>
<\/div>
The\n global Landslide Hazard Assessment for Situational Awareness (LHASA) \nmodel provides users with a comprehensive view of landslide hazard in \nnear real-time. Using machine learning, LHASA combines rainfall data \nfrom the Global Precipitation Measurement (GPM) satellite with \nantecedent soil moisture from the Soil Moisture Active Passive (SMAP) \nsatellite to identify areas currently at risk from landslides. The model\n shows where and when landslides are most probable, then calculates the \nexposed population and road length within each administrative district, \nhelping users understand both the hazard and potential impacts on \ncommunities and infrastructure.<\/div>
<\/div>
Daily global \nlandslide risk assessment from the LHASA (Landslide Hazard Assessment \nfor Situational Awareness) model. Color-coded hazard levels range from \nred (very high risk) to yellow (low risk), helping users identify areas \nwhere landslides may occur.<\/div>
To learn more please visit:
https://landslides.nasa.gov/<\/a><\/div><\/div>",
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