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Global maps provide daily, near-real-time probabilistic assessments of rainfall-triggered landslide hazard at a 1 km x 1 km resolution. The Landslide Hazard Assessment for Situational Awareness (LHASA) version 2.0 model uses machine learning to integrate satellite precipitation data from GPM, soil moisture from SMAP, and other environmental factors. This archive contains a retrospective daily record, with a minimum data latency of 5 hours for operational nowcasting.
License is specified as 'other-license-specified'; users must review specific terms. Data formats include specialized types like BIN and ISO.