DEMIX Database version 4.1
\nData created for publication in preparation:
\nThis database supports the work of the Digital Elevation Model Intercomparison eXperiment (DEMIX) working group (Strobl and others, 2021) and particularly the previous comparison efforts (Guth and others, 2021; Bielski and others, 2024; Guth and others, 2024; Guth and others, 2025).
\nThis version only includes 626 new test tiles, and may have biases because the tiles were selected to add diversity to the version 4 database. It should be used in conjunction with the full version 4 (Guth, 2025).
\nDatabase changes:
\no Urban areas (107 tiles): these are problematic with 10x10 km tiles, since urban areas typically do not match the HRDEM tiles.
\no Tropical areas (195 tiles). This greatly increases the representation of tropical forests, as measured by both the biome and the canopy height metrics.
\no New (276 tiles). This adds a number of tiles from France and Canada, and a few new ones from the USA.
\no Spanish deserts (48 tiles). Version 4 only had desert tiles in the USA and the Canary Islands, so this attempts to add more geographic diversity.
\nThis database contains the following tables:
\n·
\nReferences:
\n· Bielski, C.; López-Vázquez, C.; Grohmann, C.H.; Guth. P.L.; Hawker, L.; Gesch, D.; Trevisani, S.; Herrera-Cruz, V.; Riazanoff, S.; Corseaux, A.; Reuter, H.; Strobl, P., 2024. Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography. IEEE Transactions on Geoscience & Remote Sensing. vol. 62, pp. 1-22, 2024, Art no. 4503922, https://doi.org/10.1109/TGRS.2024.3368015
\n· Copernicus Land Monitoring Service. (2017) Welcome to Ecoregions 2017©Resolve. Available online: https://ecoregions.appspot.com/ (accessed on 9 April 2026).
\n· Guth, P. (2025). DEMIX GIS Database Version 4 (Version 4) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17538186
\n· Guth, P.L.; Trevisani, S.; Grohmann, C.H.; Lindsay, J.; Gesch, D.; Hawker, L.; Bielski, C. Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation. Remote Sens. 2024, 16, 3273. https://doi.org/10.3390/rs16173273
\n· Guth, P.L.; and others 2025 (others being Trevisani, S.; Grohmann, C.H.; Lindsay, J.B.; Reuter, H.I. ) Benchmarking Elevation Plus Land Surface Parameters Finds FathomDEM and Copernicus DEM Win as Best Global DEMs. Remote Sens. 2025, 17, 3919. https://doi.org/10.3390/rs17233919
\n· Guth, P.L.; Van Niekerk, A.; Grohmann, C.H.; Muller, J.-P.; Hawker, L.; Florinsky, I.V.; Gesch, D.; Reuter, H.I.; Herrera-Cruz, V.; Riazanoff, S.; López-Vázquez, C.; Carabajal, C.C.; Albinet, C.; Strobl, P. Digital Elevation Models: Terminology and Definitions. Remote Sens. 2021, 13, 3581. https://doi.org/10.3390/rs13183581
\n· NASA. (2026) Global Vegetation Height Metrics from GEDI and ICESat2. Available online: https://data.nasa.gov/dataset/global-vegetation-height-metrics-from-gedi-and-icesat2-71ab5 (accessed on 9 April 2026).
\n· Strobl, P.A.; Bielski, C.; Guth, P.L.; Grohmann, C.H.; Muller, J.P.; López-Vázquez, C.; Gesch, D.B.; Amatulli, G.; Riazanoff, S.; Carabajal, C. The Digital Elevation Model Intercomparison eXperiment DEMIX, a community based approach at global DEM benchmarking. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2021, XLIII-B4-2021, 395–400. https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-395-2021
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