Blog

Geomorphometry 2023 - Announcement

The International Society for Geomorphometry and the Organizing Committee, are pleased to announce the seventh Geomorphometry Conference to be held in Iasi, Romania, July 10-14 2023. The event is hosted by the Department of Geography, Faculty of Geography and Geology (www.geo.uaic.ro), Alexandru Ioan Cuza University of Iasi (www.uaic.ro).

300 words abstracts and 4-page extended abstracts are expected to be submitted through the Easy Chair system by 15th January 2023 (link for submission)

Contributions to the conference will be evaluated by the scientific committee, and authors will be notified of acceptance/rejection of their abstract by 28th February 2023; extended abstracts (maximum 4 pages) will be collected into a volume of proceedings that will be available online before the conference and printed at the conference. The following template should be used for the extended abstracts: template.

Important links:

Conference website: https://www.geo.uaic.ro/geomorphometry2023/

Abstract template: https://www.geo.uaic.ro/geomorphometry2023/wp-content/uploads/2022/11/geomorphometry_2023_template.doc

EasyChair submission: https://easychair.org/my/conference?conf=geomorphometry2023

Calendar

  • EasyChair system opens for submissions: 10th November 2022
  • Extended 4-page abstracts due to EasyChair: 15th January 2023
  • Workshop proposals due: 15th February 2023
  • Notification of acceptance and required revisions: 28th February 2023
  • Registration opens: 1st March 2023
  • Final camera-ready digital manuscripts due: 30th April 2023
  • Early registration deadline: 1st May 2023
  • Conference: 10th-14th July 2023

Coffee Talk - Hydrography90m: pushing the boundaries of computational hydrology

Hydrography90m: pushing the boundaries of computational hydrology

Guiseppe Amatulli
Yale University, USA

February 5th , 2025
7:00 MDT (UTC -7), 9:00 EST (UTC -5), 11:00 BRT (UTC -3), 14:00 GMT (UTC +0), 15:00 CET (UTC +1), 16:00 EET (UTC +2), 22:00 CST (UTC +8)

Recording available in our YouTube channel

Bio: Dr. Amatulli is a passionate forester and spatial modeler by training (M.Sc. & Ph.D. in GeoScience and Forestry) and computer scientist by trade. His research activity is mainly dedicated to spatial modeling, GIS and remote sensing with special emphasis in species distribution model, areal distribution and potential shift under climate change condition, wildland fire occurrence and pattern recognition, and wildfire risk assessment based on human and bio-physical parameters. Ultimately, his dealing with geomorphology and stream networks analysis to derive high accuracy flow estimation. He is daily dealing with high resolution data in the context of complex and modern modeling techniques using stand-alone implementation process under Linux environment. He supports the use of open source for ecological modeling giving dedicated courses using (and maintaining) the www.spatial-ecology.net web page.

Abstract: Streams and rivers drive several processes in hydrology, geomorphology, geography and ecology. A global standardized hydrographic network that accurately delineates streams and rivers, along with their topographic and topological properties, is needed for worldwide environmental applications. Using the MERIT Hydro Digital Elevation Model at 90m and by employing a suite of GRASS GIS hydrological modules, we calculated the range-wide upstream flow accumulation and flow direction to delineate a total of 1.6 million drainage basins and extracted globally a total of 726 million unique stream segments with their corresponding sub-catchments. Besides, stream topographic variables comprising stream slope, gradient, length, and curvature attributes as well as stream topological variables to allow for network routing and various stream order classifications were computed. The validation shows that the newly developed Hydrography90m has the highest spatial precision and contains more headwater stream channels compared to three other global hydrographic datasets. More information at https://doi.org/10.5194/essd-14-4525-2022.

Coffee Talk - WhiteBox for Geomorphometry

WhiteBox for Geomorphometry

Prof. John Lindsay
The University of Guelph, Canada

December 7th , 2022
7:00 MDT (UTC -6), 9:00 EDT (UTC -4), 10:00 BRT (UTC - 3), 14:00 BST (UTC +1), 15:00 CEST (UTC +2), 16:00 EEST (UTC +3), 21:00 CST (UTC +8)

Recording available in our YouTube channel

Bio: John Lindsay is a geomorphometry and geomatics researcher who explores the applications of topographic data to spatial hydrology, geomorphology, and environmental modelling. He is particularly interested in LiDAR digital elevation models (DEM) and their use in modelling surface drainage patterns, and in multi-scale land- surface characterization. Prof. Lindsay’s research often involves the development and testing novel techniques for DEM analysis. John believes that the role of the academic researcher is to provide solutions to problems encountered by practitioner. Therefore, open-source geographical information system (GIS) software development has long been a component of his research program, serving as the means by which he disseminates advances in the field. Over the past 20 years, Prof. Lindsay has developed several open-source GIS, including the Terrain Analysis System (TAS), Whitebox Geospatial Analysis Tools (Whitebox GAT), and WhiteboxTools.

Abstract: In this talk, Prof. John Lindsay explores the use of WhiteboxTools for geomorphometric applications. WhiteboxTools is an open-source geospatial analysis platform that serves as an analytical back-end for GIS and remote sensing software, including QGIS and ArcGIS. With nearly 250 tools for LiDAR data processing, geomorphometric analysis, spatial hydrology, and stream network analysis, WhiteboxTools is well suited for use by geomorphometry practitioners. John will describe the history of the Whitebox project and explore some of the functionality of this platform for LiDAR data processing, DEM pre-processing, and multi-scale topographic analysis.

Coffee Talk - How fab is FABDEM?

How fab is FABDEM?

Dr.Laurence Hawker
University of Bristol, United Kingdom

October 5th , 2022
7:00 MDT (UTC -6), 9:00 EDT (UTC -4), 10:00 BRT (UTC - 3), 14:00 BST (UTC +1), 15:00 CEST (UTC +2), 16:00 EEST (UTC +3), 21:00 CST (UTC +8)

Recording available in our YouTube channel

Bio: Laurence Hawker is a Senior Research Associate at the University of Bristol specialising in global flood models and Digital Elevation Model data. He develops flood simulations and advances global datasets to support them to understand current and future flood risk. Currently, Laurence works on the EvoFlood project which aims to assess the relative importance of hydro-climatology, evolving channel and floodplain morphology and population dynamics in causing changing flood hazard and risk.

Abstract: In this session, Laurence will introduce FABDEM (a new 30m global ‘DTM’), provide updates on the latest product developments and show a few examples of using FABDEM in flood applications. We are keen to create a dialogue on user feedback and experiences with FABDEM, be it the good, bad or the ugly, so we can discuss how ‘fab’ FABDEM really is.

GRASS GIS v8 release end of 2021

The GRASS GIS development team has used the lock-down times also to work hard on the v8 release of the popular GRASS GIS software (see complete list of new functionality).

There are many new additions to the raster library expected and likely Digital Terrain Modeling and analysis should likely run smoother. The GRASS GIS will stay available via QGIS but also will provide direct Python 3 support and of course R community should be able to access GRASS modules directly via the rgrass package.

We are looking forward to seeing the new GRASS GIS in action!

Latest Posts

Geomorphometry 2027 - Abstract submission now open

We are excited to announce that abstract submission is now open for the Geomorphometry Conference 2027, “The S&T of Topographic Modelling and LIDAR Data Processing.”

📅 31 May–3 June 2027 📍 Doorwerth, The Netherlands

The conference programme will feature oral presentations, workshops, poster sessions, providing opportunities to share research, exchange ideas and connect with the geomorphometry community.

📣 Interested in contributing? Submit your abstract for an oral presentation, workshop or poster by 1 December 2026: https://pretalx.earthmonitor.org/geomorphometry-conference-2027/cfp

Please note that, if your abstract is accepted, you will be required to submit a “four-page full paper” as part of the second phase of the submission process. The deadline for the full paper submission is 1 March 2027.

For more information about the conference, please visit the official conference website: https://opengeohub.org/events/geomorphometry-conference-2027

🔎 This conference is hosted by the OpenGeoHub Foundation.

👉 Submit your abstract and join us in Doorwerth in 2027!

Whitebox Workflows Next Gen released

Whitebox Workflows Next Gen, a complete rewrite of the Whitebox geospatial analysis platform, is now publicly available for Python, R, and QGIS.

Built from the ground up in pure Rust, Whitebox Next Gen provides more than 700 geospatial analysis tools for geomorphometry, terrain analysis, spatial hydrology, LiDAR processing, remote sensing, vector GIS, and spatial statistics. All three interfaces run on the same high-performance backend, allowing users to work in scripts, notebooks, statistical workflows, or a familiar desktop GIS environment.

Whitebox Next Gen is not an incremental update to the previous Whitebox architecture. It replaces the earlier monolithic system with a modular, full-stack geospatial platform. Core capabilities for raster and vector I/O, coordinate systems and reprojection, vector topology, spatial indexing, LiDAR processing, and other foundational operations are implemented directly within the Whitebox codebase rather than delegated to external C or C++ GIS libraries. This approach provides consistent cross-platform behaviour, fewer system-level dependencies, tighter control over performance and correctness, and greater flexibility for continued research and development

Highlights

  • More than 700 tools for geomorphometry, hydrology, LiDAR, remote sensing, vector analysis, spatial statistics, and general geospatial processing
  • Publicly available interfaces for Python, R, and QGIS
  • A modular, high-performance backend written entirely in Rust, including wbprojection, wbraster, wbvector, wblidar, wbspatialstats, and wbtopology open-source (MIT/Apache licensed) backend libraries
  • Most of the 80+ tools that existed within the previous extension product have been migrated to the new Whitebox open core, including the tools for advanced surface curvature analysis and DEM processing
  • Native coordinate-reference-system handling and reprojection workflows via wbprojection
  • Expanded raster support (19 formats), including GeoTIFF, Cloud-Optimized GeoTIFF (COGs), GeoPackage Raster, and JPEG2000
  • Expanded vector support (12 formats), including Shapefile, GeoPackage, FlatGeobuf, GeoParquet, GeoJSON, TopoJSON, and GML
  • Modern point-cloud support, including LAS, LAZ, COPC, E57, and PLY
  • A dedicated topology engine supporting robust vector analysis, network analysis, route-event workflows, and linear referencing
  • Local-first processing on Windows, macOS, and Linux
  • A consistent analysis platform across Python scripts and R workflows
  • A newly updated and more advanced QGIS Processing toolbox

Whitebox has particular strengths in terrain analysis, geomorphometry, spatial hydrology, and LiDAR processing. Whitebox Next Gen carries these areas forward while substantially expanding the project’s capabilities for vector analysis, remote sensing, modern spatial data formats, and reproducible geospatial workflows.

Get started

The geomorphometry community is invited to explore Whitebox Next Gen, test its tools and workflows, report issues, and contribute to the continued development of the project.

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)