DEMIX reveals which DEMs perform best
Global digital elevation models (DEMs) have become routine operational inputs across mapping, environmental monitoring, modelling and Earth-observation workflows. Their broad coverage and global availability have made them data that many practitioners simply take for granted. But knowledge of the terrain and topography of Earth’s surface is fundamental for monitoring and understanding terrestrial ecosystems and the planet’s habitability. For that reason, the CEOS Working Group on Calibration and Validation (WGCV) maintains a subgroup dedicated to digital topography and the quality of DEMs, the ‘Terrain Mapping Sub-Group (TMSG).
DEMs are representations of elevation in the form of a georectified grid, at global scale commonly derived from space-based interferometric synthetic aperture radar (InSAR) or stereoscopic optical observations, while regionally and locally airborne Laser induced detection and ranging (LIDAR) has become the primary source. DEMs can be classified as digital surface models (DSMs) when depicting the lower surface of the atmosphere or digital terrain models (DTMs) when depicting the top of the lithosphere (the Earth’s crust).
A wide variety of DEM products exist – each having different characteristics which suit different applications. It can be challenging to understand which of the available DEM products are fit for purpose for certain applications or regions. That is the practical gap addressed by the Digital Elevation Model Intercomparison Exercise (DEMIX) undertaken by TMSG. By exposing where widely used global DEMs agree, where they differ and how those differences affect rankings, the exercise delivered evidence to users for selecting a DEM rather than defaulting to one by habit.
DEM products were compared through a ‘wine contest,’ which identified requirements of openness, reproducibility, adaptability, and statistical rigour. The characteristics, evaluations, and ranking for each DEM were collected in a GIS database with over 50,000 entries. A quantitative assessment was carried out for each global DEM based on pixel-by-pixel differences of geomorphometric parameters against finer spatial resolution (1-5 m resolution) reference DEMs.

DEMIX methodology and overall final ranks. The presented workflow compares six global 1 arcsecond DEMs across 24 test areas and 236 10 x 10 km tiles, using reference DSMs/DTMs and 15 evaluation criteria.
The study incorporates an unprecedented amount of high quality reference data covering a broad range of landforms and surface types, comparing their characteristics without resampling or interpolation. Users are invited to consult the results of DEMIX in order to make informed choices when needing to use a DEM, or in some cases a combination of the most relevant DEMs for their applications.
The final rankings of the wine contest, presented below, compared the six DEMs based on land cover (forest, urban, or barren), slope (cliff, steep, gentle, or flat), differences in elevation, slope and roughness, and statistical metrics.
The top rows of the final results above show the overall ranking over all tiles and criteria and land types, ranked from 1 to 6 (low score is best). FABDEM was ranked as the best overall DTM and CopDEM the best overall DSM. The subsequent rows are grouped by DTM or DSM and provide rankings for each criterion and characteristic. The columns C and D explored the effects of higher measurement tolerances on the rankings, which found more ties between the different global DEMs but confirmed that the overall results are robust.
Led by the European Commission’s Joint Research Centre (JRC), the CEOS Working Group on Calibration and Validation (WGCV) Terrain Mapping Subgroup (TMSG) established DEMIX in partnership with the International Society for Geomorphometry. The exercise was performed over a three-year period, with community-wide calls for participation and an assembly of experts producing a number of peer-reviewed publications, culminating with a reference report published in July 2026.
The objective of DEMIX was to propose a procedure to rank the available free and open global DEMs, taking into consideration user needs while promoting the implementation of FAIR (Findable, Accessible, Interoperable and Reusable) principles. The exercise compared DEMs based on criteria for land cover and terrain slope categories, representative testing, and a statistically sound ranking approach. The report outputs tailored recommendations regarding available DEM products that are not limited to one domain, geographic area, or landscape type, with flexibility for different user needs and applications.
Six global DEMs that provide near-global coverage with resolution of one arcsecond (approximately 30 m) were compared.
| DEM | Source | Acquisition method | Temporal resolution | Owner |
| SRTM Version 3 | STS-99 Shuttle Radar Topography Mission (SRTM) | C- and X-band SAR interferometry | February 11-22, 2000 | NASA Land Processes Distributed Active Archive Center (LP DAAC) |
| ASTER Global DEM Version 3 | Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) | Stereoscopic visible and near infrared (VNIR) imagery from nadir and backward-viewing bands | 1 March 2000 to 30 November 2013 | NASA LP DAAC |
| ALOS Global Digital Surface Model “ALOS World 3D – 30m (AW3D30)” Version 3.2 | ALOS, Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) | A triplet of panchromatic VIS/NIR radiometers acquiring along-track stereoscopic imagery | 2006 to 2011 | JAXA |
| NASADEM | SRTM, ASTER, ICESat | Reprocessed SRTM radar data merged with refined ASTER GDEM and ICESat elevations | February 11-22, 2000 | NASA LP DAAC |
| CopDEM | TanDEM-X / X-Band SAR | Twin-satellite X-band SAR interferometry | 2011 to 2015 | EU Copernicus |
| Forest And Buildings removed Copernicus DEM (FABDEM) (approximate DTM) | TanDEM-X / X-Band SAR | Copernicus GLO 30 DEM with building and tree height biases removed | 2011 to 2015 | University of Bristol |
A major challenge in the comparison of the global DEMs were the varying formats, data, and metadata contents. The adoption of a common set of standards would enhance the quality and interoperability of global DEMs and streamline the exchange and utilisation of DEM data for both providers and users. DEMIX makes the following recommendations for data providers:
● Adopt a standardised grid layout, with complete grid definitions and encodings following ISO/OGC rules.
● Include vertical datum information as part of raster DEM files.
● Clearly indicate the product version in the file names.
● Participate in future DEMIX rounds, which serve as a neutral platform for independently evaluating products before their release.
● Provide high quality, finer resolution, accurate, and multi-temporal elevation data to be used as a reference alongside DEM products.
Global DEMs are indispensable operational geospatial datasets, but they should not be treated as error-free or interchangeable. DEMIX delivered to the global community a systematic and transparent method to help choose elevation products more intelligently and help define what better elevation measurements should look like in the future.
Further Reading
Read more in the DEMIX Final Report, or see other DEMIX publications below:
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- Benchmarking Elevation Plus Land Surface Parameters Finds FathomDEM and Copernicus DEM Win as Best Global DEMs (2025) and subsequent discussion (2026a, 2026b)
- Novel Approach for Ranking DEMs: Copernicus DEM Improves One Arc Second Open Global Topography (2024)
- Digital Elevation Models: Terminology and Definitions (2021)
- The Digital Elevation Model Intercomparison eXperiment DEMIX, a community-based approach at global DEM benchmarking (2021)
