DEMIX 1" Reference DEMs version 1.0

This reference data supports the work of the Digital Elevation Model Intercomparison eXercise (DEMIX) working group (Strobl and others, 2021; Guth and others, 2021; Bielski and others,2023). 

The data set consists of:

Excel metadata file with two tabs:

Credits for each of 19 areas for the source of the high resolution data sets, the number of DEMIX tiles (Guth and others, 2023) in that area, the resolution of the source data, and credits for the processing.

The national mapping agencies (or equivalent) that provided the free high resolution data, and the files used for the vertical datum transformations.

ZIP file with the 1” grids used to support the DEMIX work and create the DEMIX database (Guth, 2022).  The file also includes databases for each area required to use the data in MICRODEM.

To understand the use of the reference data, see the forthcoming paper (Bielski and others, in prep).

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, Peter L. (2022). DEMIX GIS Database (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7402618 .

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

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