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Full catalog/Global_Landslide_Nowcast
Global_Landslide_Nowcast·v1.1·dataset

Daily landslide risk forecast (LHASA, 1 km)

Global Landslide Nowcast from LHASA L4 1 day 1 km x 1 km version 1.1 (Global_Landslide_Nowcast) at GES DISC
land NASA GES_DISC Level 4
In plain English

What it measures. A daily forecast flagging where landslides are more likely, highlighting times and places where heavy rain meets vulnerable terrain.

How it's made. Produced by the LHASA model, which combines satellite rainfall estimates with a map of landslide-prone areas based on slope, geology, roads, fault lines, and forest loss, at 1 km daily resolution.

How & where you'd use it. Helps emergency planners and the public stay aware of landslide danger across the world's middle latitudes; this archive is a daily record from a retrospective model run.

What's measured

HUMAN DIMENSIONS › NATURAL HAZARDS › LANDSLIDES

Coverage & cadence

  • Time span2000-06-14 → 2020-12-31
  • Measured byMODELS (NOT APPLICABLE)
  • Processing levelLevel 4
  • Spatial extent-180, -60, 180, 60
  • StatusCOMPLETE

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

The Landslide Hazard Assessment for Situational Awareness (LHASA) model identifies locations with high potential for landslide occurrence at a daily temporal resolution. LHASA combines satellite‐based precipitation estimates with a landslide susceptibility map derived from information on slope, geology, road networks, fault zones, and forest loss. When rainfall is considered to be extreme and susceptibility values are moderate to very high, a “nowcast” is issued to indicate the times and places where landslides are more probable. Although the model could be run every half hour, this archive contains a daily record derived from a retrospective model run and spatial coverage is from 60°N to 60°S .

Get the data

global_landslide_nowcast_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="Global_Landslide_Nowcast",
    version="1.1",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from GES_DISC
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.