Initiated by Dr. Xin Wei, University of Michigan
Ongoing development by the community

Explore Open Landslide Datasets Worldwide

Browse open-access landslide datasets from different regions and communities around the world. Click on markers to view dataset details.

Large-Scale Landslide Datasets

Comprehensive large-scale (global or national) landslide datasets for research, analysis, and model development.

Landslide Inventories across the United States (ver. 3.0, February 2025)

Landslide Inventories across the United States (ver. 3.0, February 2025)

National Wide

A comprehensive compilation of landslide inventories across the United States, providing point and polygon data for landslide research and hazard assessment.

Records: NaN

Resolution: NaN

Type: point, polygon

Chinese Academy of Sciences - Landslide Dataset

Global

• integrating satellite and unmanned aerial vehicle data from nine regions (specifies region)

Records: 20,865 RGB images

Resolution: 512 × 512 pixels, Ground Resolution is provided in m and varies

Type: polygon

HR-GLDD: Global Dataset

Global

• rainfall triggered and five earthquake-triggered multiple landslide events

Records: 10

Resolution: 128 x 128 pixels (spatial resolution of up to 3 m)

Type: polygon

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection

Global

• multi-source satellite remote sensing imagery

Records: 4,844 image patches

Resolution: 128 x 128 pixels

Type: polygon

GDCLD: Global Dataset of Coesismic Landslide Mapping

Global

• coseismic landslide mapping via multi-source high-resolution remote sensing images

Records: 466

Resolution: 1024 pixels x 1024 pixels Resolutions varies and there is a table in the paper with this information

Type: polygon

NASA Cooperative Open Online Landslide Repository

Global

NaN

Records: 39634

Resolution: LHASA v1 Output Resolution: ~0.1°, every 3 hours LHASA v2 Output Resolution: ~0.1°, daily

Type: polygon, point

How to Contribute Your Landslide Data

Step 1: Prepare Your Data

Ensure your data (imagery, labels, metadata) meets our required format and content standards for consistency and quality.

Kind reminder: If your dataset has not yet been published or assigned a DOI, you may consider publishing it on platforms such as DesignSafe-CI before sharing it publicly.

Step 2: Fill Out the Form

Our official submission channel is a Google Form. Please provide all necessary information accurately.

Step 3: Review and Publication

Your submitted data will be reviewed by our team. Upon approval, it will be included in our database and your contribution will be acknowledged.

The Power of Contribution

Share your open landslide datasets with the global research community to help drive collective progress in the field.

Submit New Dataset