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DEMIX GIS Database Version 2

Guth, Peter L

Abstract

Due to a coding error when we created the newer versions of this database, the record does not link to the new versions. You should use them in all cases: Guth, P. (2025). DEMIX GIS Database Version 4 (Version 4) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17538186 This database supports the work of the Digital Elevation Model Intercomparison eXperiment (DEMIX) working group (Strobl and others, 2021; Guth and others, 2021; Bielski and others, 2023, 2024). The two files have the database in CSV format, and a metadata file describing the contents of each field in the database. To understand the use of the database, see the prepint (Bielski and others, 2023). Changes to version 2 which is the only version you should use: 1. Added 2 new areas, Stateline and Canary Islands East which should have minimal differences between the DSM and the DTM and no significant changes over the last 20 years. 2. Added the country to the database 3. Added a number of areas in France 4. Added some additional tiles for a few areas 5. Total number of tiles almost doubled 6. Now using GDAL to compute the datum shift, horizontal and vertical, for USGS 3DEP 7. Fixed some anomalies computing pixel-is-area DEMs 8. Recomputed all the reference data and the version 1.0 GIS database (Guth, 2022) 9. New file naming conventions References: Bielski, C.; López-Vázquez, C.; Guth. P.L.; Grohmann, C.H. and the TMSG DEMIX Working Group, 2023. DEMIX Wine Contest Method Ranks ALOS AW3D30, COPDEM, and FABDEM as Top 1” Global DEMs: https://arxiv.org/pdf/2302.08425.pdf 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 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 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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Category Field Name FIELD_TYPE DESCRIPTION DEMIX Tile statistics AREA String Geographic region with 1 or more DEMIX tiles . Tiles definitions available on Zenodo. DEMIX_TILE String Tile Name LAT Float Centroid of tile in decimal degrees LONG Float Centroid of tile in decimal degrees AVG_ELEV Float Average elevation of reference DTM, m AVG_SLOPE Float Average slope of reference DTM, % (Evans algorithm) AVG_ROUGH Float Average roughness of reference DTM, computed as the standard deviation of slope in % in 3x3 pixel window RELIEF Float Relief of reference DTM, m FOREST_PC Float Percentage of tile that is forest from Copernicus 100 m data in % URBAN_PC Float Percentage of tile that is urban from Copernicus 100 m data in % BARREN_PC Float Percentage of tile that is barren from Copernicus 100 m data in % Reference DEM used for criterion REF_TYPE String DTM or DSM Land type used to evaluate criterion LAND_TYPE String Statistics by pixel within the tile: cliff (slope > 50%), steep (slope > 25%), gentle (slope > 12.5%), flat (slope < 12.5%), urban, forest, barren, or all LANDTYP_PC Float Percentage of tile that is the LAND_TYPE in % Tolerance used for opinion TOLERANCE Float Tolerance for this criterion used for ties Opinion for criterion DEM_LOW_SC String DEM with the lowest score on the opinion; ties show several COP_ALOS String Which of these two DEMs wins on this opinion Opinions matrix FABDEM_SCR Float Wine contest opinion on the criterion for this DEM in this DEMIX tile COP_SCR Float Wine contest opinion on the criterion for this DEM in this DEMIX tile ALOS_SCR Float Wine contest opinion on the criterion for this DEM in this DEMIX tile NASA_SCR Float Wine contest opinion on the criterion for this DEM in this DEMIX tile SRTM_SCR Float Wine contest opinion on the criterion for this DEM in this DEMIX tile ASTER_SCR Float Wine contest opinion on the criterion for this DEM in this DEMIX tile Record ID REC_ID Float Sequential index number for this row of the database Criterion in this row of DB CRITERION String Name of the criterion. All refer to the distribution of the differences from the reference DEM (candidate minus reference). EVLD are the elevation differences, SLPD are the slope differences, and RUFD the roughness differences from the appropriate reference DEM. LE90 is the linear error 90%, MAE is the mean absolute error, RMSE is the root mean square error, STD is the error/difference standard deviation, and AVD is the average deviation or mean absolute deviation. MEAN is the mean and MED is the median. Evaluation matrix FABDEM Float Wine contest evaluation on the criterion for this DEM in this DEMIX tile COP Float Wine contest evaluation on the criterion for this DEM in this DEMIX tile ALOS Float Wine contest evaluation on the criterion for this DEM in this DEMIX tile NASA Float Wine contest evaluation on the criterion for this DEM in this DEMIX tile SRTM Float Wine contest evaluation on the criterion for this DEM in this DEMIX tile ASTER Float Wine contest evaluation on the criterion for this DEM in this DEMIX tile