NASA Landslide Project: Global Daily Landslide Hazard Nowcasts

NASA's Landslide Hazard Assessment for Situational Awareness (LHASA) model provides daily global landslide hazard nowcasts. The model combines satellite-based precipitation estimates from GPM with factors like slope, geology, and soil moisture to produce probabilistic outputs. This archive contains a daily record derived from retrospective model runs with spatial coverage from 60°N to 60°S.

Use Cases

• Developing landslide early warning systems based on daily probabilistic hazard nowcasts.
• Analyzing the correlation between satellite precipitation estimates and landslide susceptibility.
• Studying regional landslide risk patterns based on factors like slope, geology, and road networks.
• Calibrating local hazard thresholds using the model's probabilistic output for specific geographic applications.

Strengths

• Model combines multiple data sources, including satellite precipitation (GPM) and soil moisture (SMAP).
• Provides daily temporal resolution and global spatial coverage from 60°N to 60°S.
• Version 2.0 uses a machine learning model with probabilistic output, allowing user-defined thresholds.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

NASA

Collection Method

Satellite-based precipitation estimates combined with a susceptibility map derived from slope, geology, road networks, fault zones, and forest loss.

Time Range

Daily records from retrospective model runs.

Freshness

Daily temporal resolution; product has a minimum latency of 5 hours for near-real-time data.

Geography

Global coverage from 60°N to 60°S.