Geomorphometric and Geospatial Patterns in Differences Between ALOS and COPDEM: Geomorphometry2023

We proposed three new criteria to use in addition to those presented in the DEMIX wine contest for evaluating 1 arc second global DEMs. We use the criteria to compare the COPDEM and ALOS DEMs. These criteria use a pairwise, pixel by pixel comparison of the candidate DEM to a reference DEM for elevation, slope, and roughness. With two candidate DEMs and a tolerance for differences not considered significant, we can score each pixel as a tie or win for COPDEM or ALOS. The method allows us to map the differences, and shows that the terrain has a major impact on the errors in these DEMs. In addition to the PDF, there are higher resolution graphics for the figures, and two supplementary figures. 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 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 Carlos Henrique Grohmann. (2023). The DEMIX Wine Contest Jupyter notebook. Geomorphometry2023, Iasi, Romania. https://doi.org/10.5281/zenodo.7779256 Guth, Peter L, Grohmann, Carlos H, & Trevisani, Sebastiano. (2023, June 12). Subjective Criterion for the DEMIX Wine Contest: Hillshade Maps. https://doi.org/10.5281/zenodo.803073