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Dates of Images:<\/SPAN><\/P> 4/28/2024, 4/29/2024, 4/30/2024, 5/1/2024, 5/2/2024, 5/5/2024, 5/6/2024<\/SPAN><\/P> Summary:<\/SPAN><\/P> LHASA was created at Goddard Space Flight Center to identify the potential for rainfall-triggered landslides in real time. LHASA version 2 adopts machine learning to estimate the probability of landslide occurrence at a 30-arcsecond (~1 km) daily resolution. In addition, it estimates the potential exposure of human population and roads to landslide hazard and maps the basins likely to experience post-fire debris flows.<\/SPAN><\/P> Suggested Use:<\/SPAN><\/P> The global landslide nowcast shows where landslide hazard is highest on a given date. <\/SPAN><\/P> Resolution:<\/SPAN><\/P> ~1km<\/SPAN><\/P> Credits:<\/SPAN><\/P> Please cite: Stanley T. A., J. R. Sutton, R. S. Vershel, P. M. Amatya. 2025. \"Better Satellite Precipitation Algorithms Slightly Improved Landslide Hazard Assessment.\" Journal of Applied Meteorology and Climatology 64 (10): 1379-1394 10.1175/jamc-d-25-0021.1<\/SPAN><\/SPAN><\/P> Esri REST Endpoint:<\/SPAN><\/P> See URL on the right side of the page.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>",
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