Earth Data School
About
Full catalog/Global_Landslide_Nowcast
Global_Landslide_Nowcast·v2.0.0·dataset

Daily warning map of likely landslides (1 km)

Global Landslide Nowcast from LHASA L4 1 day 1 km x 1 km version 2.0.0 (Global_Landslide_Nowcast) at GES DISC
land NASA GES_DISC Level 4
In plain English

What it measures. A daily warning map showing where rainfall-triggered landslides are likely, at about 1-kilometer detail across the globe.

How it's made. Generated by the LHASA model, which combines satellite rainfall from the GPM mission, soil-moisture from SMAP, and other factors through a machine-learning model to estimate landslide probability.

How & where you'd use it. Supports near-real-time awareness of landslide hazard for emergency planners and responders; version 2 gives probabilities so users can set their own warning thresholds for their area.

What's measured

HUMAN DIMENSIONS › NATURAL HAZARDS › LANDSLIDES

Coverage & cadence

  • Time span2015-04-03 → 2021-02-10
  • 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 Global Landslide Nowcast addresses the need for real-time situational awareness of landslide hazard. The Landslide Hazard Assessment for Situational Awareness model (LHASA) combines satellite rainfall estimates from the Global Precipitation Measurement mission (GPM) with soil moisture estimates from the Soil Moisture Active Passive (SMAP) satellite and other factors to produce a map of locations where rainfall-triggered landslide activity is probable. Due to the latency of the rainfall data, the nowcast is a near-real time product with a minimum latency of 5 hours. Although the model could be run every half hour, this archive contains a daily record derived from a retrospective model run. The Global Landslide Nowcast version 2.0.0 retains replaces the heuristic decision tree from version 1.0 with a machine learning model. Instead of merging all factors other than precipitation into a susceptibility map, LHASA 2.0 takes in each variable as a separate input layer. The most important change is the replacement of the categorical nowcast with a probabilistic output. This will enable users to adjust the threshold to suit their specific application and geographic location.

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="2.0.0",
    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.