20260403 11440800 1.0 TRUE 150000000 5000 ItemDescription <div style='text-align:Left;'><div><div><p><span style='font-weight:bold;'>Dates of Images:</span></p><p><span>4/28/2024, 4/29/2024, 4/30/2024, 5/1/2024, 5/2/2024, 5/5/2024, 5/6/2024</span></p><p><span style='font-weight:bold;'>Summary:</span></p><p><span style='font-size:12pt'>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><p><span style='font-weight:bold;font-size:14pt'>Suggested Use:</span></p><p><span>The global landslide nowcast shows where landslide hazard is highest on a given date. </span></p><p><span style='font-weight:bold;'>Resolution:</span></p><p><span>~1km</span></p><p><span style='font-weight:bold;'>Credits:</span></p><p><span><span>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><p><span style='font-weight:bold;'>Esri REST Endpoint:</span></p><p><span>See URL on the right side of the page.</span></p></div></div></div> USGS/GSFC (2025), Stanley T. A., J. R. Sutton, R. S. Vershel, P. M. Amatya Landslide Landslides NASA NASA Disasters Program Exercise Flood DaNCE 2026 Planet True Color <div style='text-align:Left;'><div><div><p><span>NASA data and products are freely available to federal, state, public, non-profit and commercial users. This information can be experimental- or research-grade data products and may not be appropriate for operational use. These NASA data products, services, and the Disasters Mapping Portal are intended to aid decision makers and enhance situational awareness, but these data are not guaranteed to be consistently available or routinely updated. Use of this product should include: "Includes copyrighted material of Planet Labs PBC. All rights reserved.</span></p></div></div></div> (EXERCISE - DaNCE March 2026) Landslide Hazard Nowcast and Exposure (LHASA) for the Brazil Flood May 2024 EX2602_lhasa 20260403