Home Methodology Data Sources

Consolidated Data Source Table

Dataset Provider Resolution Coverage Update Freq. Used In
Sentinel-2 SR Harmonized ESA (Copernicus) 10 m 2015-present ~5-day revisit LULC
Dynamic World V1 Google / WRI 10 m 2015-present Near-real-time LULC
ESA WorldCover v200 ESA 10 m 2021 snapshot Periodic Climate Risk
FABDEM Hawker et al. (2022) 30 m Static (2022) One-time Climate Risk
NASA SRTM v3 NASA / USGS 30 m 2000 snapshot Static Climate Risk (fallback)
NASA NEX-GDDP-CMIP6 NASA Earth Exchange ~25 km 1950-2100 Static (CMIP6) Climate Risk
IPCC AR6 SLR IPCC Global 2030-2150 Per report Climate Risk
WRI Aqueduct 4.0 WRI Basin-level 2030, 2050, 2080 Periodic Climate Risk
NOAA IBTrACS v4 NOAA Track-level 1842-present Quarterly Climate Risk
Hansen GFC 2024 v1.12 U. of Maryland 30 m 2000-2024 Annual LULC
JRC GFC 2020 V3 EU JRC 10 m 2020 snapshot Periodic LULC
JRC Forest Subtypes V0 EU JRC 10 m 2020 snapshot Preliminary LULC
WDPA UNEP-WCMC Vector Ongoing Monthly LULC
RESOLVE Ecoregions 2017 RESOLVE / WWF Vector 2017 snapshot Static LULC
JRC CEMS GloFAS v2.1 EU JRC 90 m ~1980 baseline Periodic Flood Depth
WRI Aqueduct Flood V2 WRI ~1 km 2030, 2050, 2080 Periodic Flood Depth
FEMA HAZUS 4.0 FEMA (US) Building-level 2018 publication Periodic Damage Est.
JRC Huizinga et al. 2017 EU JRC Country-level 2017 publication Periodic Damage Est.
OpenStreetMap OSM Community Variable Ongoing Continuous Geocoding

Full Citations

Hawker, L., Uhe, P., Paulo, L., Sosa, J., Savage, J., Sampson, C., & Neal, J. (2022). A 30 m global map of elevation with forests and buildings removed. Environmental Research Letters, 17(2), 024016. DOI: 10.1088/1748-9326/ac4d4f
Huizinga, J., de Moel, H., & Szewczyk, W. (2017). Global flood depth-damage functions: Methodology and the database with guidelines. Joint Research Centre Technical Report, EUR 28552 EN. DOI: 10.2760/16510
Knutson, T., et al. (2020). Tropical Cyclones and Climate Change Assessment: Part II. Projected Response to Anthropogenic Warming. Bulletin of the American Meteorological Society, 101(3), E303-E322. DOI: 10.1175/BAMS-D-18-0194.1
Hansen, M. C., et al. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342(6160), 850-853. DOI: 10.1126/science.1244693
Dinerstein, E., et al. (2017). An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm. BioScience, 67(6), 534-545. DOI: 10.1093/biosci/bix014
Thrasher, B., et al. (2022). NASA Global Daily Downscaled Projections, CMIP6. Scientific Data, 9, 262. DOI: 10.1038/s41597-022-01393-4
Ward, P. J., et al. (2020). Aqueduct Floods Methodology. World Resources Institute Technical Note. Washington, DC.
Scawthorn, C., et al. (2006). HAZUS-MH Flood Loss Estimation Methodology. Natural Hazards Review, 7(2), 72-81.
IPCC (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report. Cambridge University Press.

Methodology Version History

Module Version Last Updated Key Changes
Climate Risk v1.4.0 March 2026 Upgraded elevation source, improved coastal distance, tropical cyclone awareness, enhanced urban classification
Flood Depth v1.0 March 2026 Initial release — multi-dataset fusion, multi-model ensemble, comprehensive edge case handling
Damage Estimation v1.0 February 2026 Initial release — dual damage model (HAZUS + JRC), 196 curves, 6 sectors
LULC v1.0 January 2026 Initial release — satellite compositing, land cover classification
Geocoding v1.1 January 2026 Address quality validation added
Biodiversity v1.0 January 2026 Initial release — forest change, protected areas, ecological context