Geomorphometry Newsletter September 2014

Published: Sep 15, 2014 by ISG Board

This is to inform you that submissions for the Geomorphometry.org/2015 conference are now open! Prospective authors are invited to submit extended abstracts of up to 4 pages (ca 2000 words) by 1st of November 2014. Extended abstracts must be original works by the authors, not be currently under review in the same form by another outlet and not submitted elsewhere prior to the notification date. To submit a 2-4 pages summary papers for the Geomorphometry 2015 use the EasyChair conference system. Do not submit your work by e-mail. Do not submit MS word documents but only PDF versions of your paper.

Important dates:

  • Extended abstracts due: 1 November 2014
  • Notification of acceptance (revisions): 1 February 2015
  • Workshop proposals due: 1 February 2015
  • Final camera-ready digital manuscripts due: 1 May 2015
  • Early registration deadline: 1 May 2015
  • Conference date: 22-26 June 2015

At Geomorphometry.org/2015 We are expecting a number of exciting keynotes, invited lectures and workshops. A complete list is available here.

  • Marco Giardino, School of Natural Sciences, University of Torino, Italy: “Multidimensional approach to natural instabilities in mountain areas: how geomorphometry can improve both hazard modelling and risk perception”
  • Markus Metz, GRASS Development Team, Fondazione Edmund Mach, Trento, Italy: “Searching for water: hydrological modelling concepts in GRASS GIS”
  • Lucian Drăguţ, West University of Timisoara, Romania: “Object-oriented geomorphometry”
  • Tomasz Stepinski, Space Informatics Lab, University of Cincinnati, Ohio, United States: “Doing Geomorphometry with Pattern Analysis”
  • Piotr Wężyk, Laboratory of Geomatics, University of Agriculture in Krakow, Poland: “Making the invisible visible – the DTM modelling in complex environment”
  • Alberto Moreira, Microwaves and Radar Institute, German Aerospace Center, Oberpfaffenhofen, Germany: “TanDEM-X: A Challenging Radar Mission for Generating a New Earth’s Topography”
  • Christopher Crosby, Open Topography Group, United States: “OpenTopography: Enabling Online and On-Demand Access to High-Resolution Topography Data for Natural Hazards”
  • Tomasz Niedzielski, Institue of Geography and Regional Development, University of Wrocław, Poland: “Hydrological forecasting in real time: an experimental integrated approach”
  • Steve Kopp, Environmental System Research Institute, Redlands, CA, United States: “Expanding the reach of Geomorphometry through Web GIS”

WorldDEM, the new global elevation data set with resolution of 12 m and amazing vertical accuracy of <±2 m (http://www.astrium-geo.com/worlddem/) is now available for pre-order. See availability of the finished tiles at http://worlddem-database.infoterra.de/

Geomorphometry community is now also on G+. Join this community and post opinions, announcements and short stories and follow up the work of your colleagues…

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DEMIX reveals which DEMs perform best

First round of the DEMIX exercise published final report

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.

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.

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. Several members of the International Society of the Geomorphometry contributed significantly and we hosted various secssions at our latest conference. The exercise was performed over a three-year period starting in 2020, with community-wide calls for participation and an assembly of experts producing a number of peer-reviewed publications, culminating with a JRC 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.

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 - mainly by our ISG members:

  • Benchmarking Elevation Plus Land Surface Parameters Finds FathomDEM and Copernicus DEM Win as Best Global DEMs (2025) and subsequent discussion (2026a, 2026b)
  • Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation 2025
  • 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)

Coffee Talk - GeoNadir

Building the world’s largest repository of FAIR drone mapping data

Paul Mead GeoNadir

September 2nd, 2026
11:30 (UTC)

Bio: Paul Mead is Co-founder and Head of Business & Strategy at GeoNadir, a platform building the world’s largest repository of FAIR drone mapping data to support environmental decision-making. A non-technical co-founder, Paul focuses on strategy, commercial development, and building high-performing teams — a discipline shaped by 11 years in the New Zealand Army, including leading a bomb disposal team in Lebanon and service in Afghanistan and the Asia-Pacific region. Since 2013 he has built and led several small businesses and start-ups, with drones as a central technology since 2016. Alongside GeoNadir, Paul co-founded She Maps, an internationally recognised drone and geospatial STEM education organisation, and has helped raise over $7M in equity and non-equity funding across his ventures. He holds a Master of Philosophy from the University of Queensland and is a Chartered Manager.

Abstract: GeoNadir set out to build the world’s largest repository of FAIR drone mapping data, and ended up building something more powerful. Drones have democratised data capture, but the same democratised ability to generate decision-grade insights from the data is lacking. I’ll walk through how we’re closing that gap: the data infrastructure behind hosting large volumes of UAV imagery and derived products, and how we’re moving from manual analysis toward automated, repeatable geospatial analytics.

Coffee Talk - Geomorphometry with GRASS

Geomorphometry with GRASS

Dr. Corey T. White Center for Geospatial Analytics at NCSU, USA

April 1st, 2026
14:00 (UTC)

Recording available in our YouTube channel

Bio: Corey White is a geospatial research software engineer with the Center for Geospatial Analytics at North Carolina State University and a maintainer of the open-source GRASS project. He is also the founder of OpenPlains Inc., an open-source web-based platform for interactive geospatial modeling. His work sits at the intersection of geomorphometry, environmental modeling, UAS mapping, and open-source software development, with a focus on making interactive terrain analysis accessible and reproducible. He has applied GRASS to problems ranging from post-disaster topographic change detection following Hurricane Helene to designing a participatory geospatial modeling platform to address ‘wicked’ socio-environmental problems. Corey is an active member of the OSGeo community and an advocate for open geospatial science.

Abstract: GRASS is a modern, actively developed, and extensible geospatial processing engine for geomorphometry. This session draws on post-Hurricane Helene landscape change analysis and ongoing addon development for DEM data fusion, terrain uncertainty modeling, and overland flow simulation to showcase what GRASS does well and where it fits in contemporary geomorphometric practice. Beyond its core analytical capabilities, GRASS’s Python, R, and Jupyter integration make it straightforward to build reproducible, scriptable terrain workflows that move easily from exploration to publication. Join this informal discussion to explore how GRASS serves not only as a research tool but as a community platform where geomorphometric methods can be developed, shared, and reused through its open addon ecosystem.