Bar graphs of DEMIX database tile classifications

The DEMIX database (Guth, 2023a) contains statistics from 6 test 1 arc second DEMs (ALOS, ASTER, CopDEM, FABDEM, NASADEM, and SRTM) compared to high resolution reference DEMs.  The database contains 236 DEMIX tiles (Guth and others, 2023) and forms the basis for the ranking of global DEMs in Bielski and others (2023).

A K-means clustering of the database using MICRODEM (Guth, 2023b, 2023c), and an additional set of 4 land cover and landform classifications (Table 1) for the 236 DEMIX tiles computed the percentage of each DEMIX tile in each classification category.  Guth (2023d) has the raw data for the percentages of each category for each of the 236 tiles along with the K-means cluster assignments.

This data set contains 3 figures for each of the 5 classification databases in Guth (2023d):

Bar graph of the category percentages for each of the test areas.  A composite version of these graphs is in Bielski and others (2023).

Bar graph of the category percentages for each of the 236 test tiles.  These graphs are too large to include on a single page with readable legends.

Legend for the classification

References:

Bielski, C.; López-Vázquez, C.; Grohmann, C.H.; Guth. P.L.; and the TMSG DEMIX Working Group, 2023. DEMIX Method Ranks COPDEM, and FABDEM as Top 1” Global DEMs: https://arxiv.org/abs/2302.08425v3

Guth, P. L., 2023a. DEMIX GIS Database Version 2 (2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8062008

Guth, P.L., 2023b. GIT-MICRODEM [Delphi source code, archived installation versions]. URL: https://github.com/prof-pguth/git_microdem 

Guth, P.L., 2023c, MICRODEM: Open-source GIS with a focus on Geomorphometry [download latest Win64 executable and CHM help file] URL: https://microdem.org/

Guth, P.L., 2023d, K-means clustering of the DEMIX data set (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8283791

Guth, Peter L., Peter Strobl, Kevin Gross, & Serge Riazanoff. (2023). DEMIX 10k Tile Data Set (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7504791