Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-4697-2026
https://doi.org/10.5194/essd-18-4697-2026
Data description article
 | 
07 Jul 2026
Data description article |  | 07 Jul 2026

Unified Global Landslide Catalogue (UGLC): a single, standardised global-scale landslide dataset

Saverio Mancino, Anna Sblano, Francesco Paolo Lovergine, Vincenzo Massimi, Tushar Sethi, Domenico Capolongo, and Giuseppe Amatulli

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Cited articles

Amatulli, G., McInerney, D., Sethi, T., Strobl, P., and Domisch, S.: Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers, Sci. Data, 7, 162, https://doi.org/10.1038/s41597-020-0479-6, 2020. a
Amatulli, G., Garcia Marquez, J., Sethi, T., Kiesel, J., Grigoropoulou, A., Üblacker, M. M., Shen, L. Q., and Domisch, S.: Hydrography90m: a new high-resolution global hydrographic dataset, Earth Syst. Sci. Data, 14, 4525–4550, https://doi.org/10.5194/essd-14-4525-2022, 2022. a
Australia: Australia Landslide Catalogue, https://oasishub.co/dataset/australia-landslide-catalogue (last access: December 2025), 2016. a, b
BGS – British Geological Survey: Polygon inventory of 12,920 Asia Summer Monsoon (ASM) Triggered landslides in Nepal (NERC Grant NE/L002582/1), https://www.data.gov.uk/dataset/d614bc9b-2696-4bd6-be01-b461cee575d1/polygon-inventory-of-12920-asia-summer-monsoon-asm- triggered-landslides-in-nepal-nerc-grant-ne- (last access: December 2025), 2024. a, b
Bhuyan, K., Tanyaş, H., Nava, L., Puliero, S., Meena, S., Floris, M., van Westen, C., and Catani, F.: Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data, Sci. Rep., 13, https://doi.org/10.1038/s41598-022-27352-y, 2023. a
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Short summary
Landslides can cause loss of life and damage to communities. This study presents a global catalogue of more than one million events collected from many open sources between 1700 and 2023. The data were organised into a consistent structure to make them easier to explore and compare. The catalogue can support large-scale analyses and help improve understanding of where and when landslides occur.
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