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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!

Summary of Geomorphometry 2021

About 50 researchers from around the world attended the event, mostly by remote connection. The conference only featured oral sessions, with 44 contributions. Three invited keynote talks, by Michael Hutchinson (Australian National University College of Science), Igor Florinsky (Russian Academy of Sciences) and Marco Cavalli (CNR IRPI, Padua) enriched the content of the conference. Contributions were spread over three days, grouped by topic: “use of digital elevation, terrain and surface models” on day 1, “dynamics of earth surface: automated surface analysis and modelization” on day 2, and “modeling geomorphological processes” on day 3.

All of the sessions demonstrated that quantitative analysis of the Earth’s surface is closely related to the scale at which the surface itself is described/represented. Research on a global scale (e.g. aimed at the definition of accurate hydrographic networks) was counterbalanced by studies that focused on centimetric portions of Earth’s surface (e.g. small plates where accretion of tufa/travertine is studied). A related relevant topic was the comparison of lidar data with global (or quasi-global) DEMs and among different global DEMs, using different methods in many study areas. Explicit comparisons highlighted that, in selected areas representative of most existing settings, Copernicus DEM is the best performing; other comparisons in different areas and methods favored MERIT DEM. In all cases, lidar data represents the benchmark. Despite that, a discussion highlighted that peculiar applications may not be so sensitive to details represented in elevation data from lidar and/or SfM measurements to justify the much higher cost. There also have been an explicit proposal to merge global and local elevation data, already existing and available online for Europe.

This also lead to a discussion about the characteristic scale of terrain analysis, and a few presentations described multi-scale approaches as mature tools for a variety of application. Mainly, they described multi-scale methods for estimation of terrain roughness, curvatures, and landform mapping. The relationship between multi-scale approaches and characteristic scale may lead to need of optimization of numerical parameters for terrain analysis and classification.

A few presentations focused on the geomorphological and physical meaning of maps derived from digital terrain models (such as curvatures) or on the definition of new functions aimed at representing the topology of surface water flow directions or the selection of features (derived from DEM) which are relevant in supervised classification applications.

Applications of geomorphometry concepts and algorithms to other disciplines/topics have been numerous and included tectonics, soil erosion, landslide susceptibility, thermokarst phenomena, river forms, coastal habitat and coastal dunes, crevasses in polar ice, inundated areas, glacial cirques and volcanic eruptions.

One addition to the topics of this year’s edition of the conference was specifically commercial and industrial application. The scientific program actually included a few contributions explicitly reporting about industrial processes (microscopic analysis of silicon wafer “topography”) and commercial applications (deposition and analysis of submarine cables, rockfall susceptibility along the Italian national railway). Other contributions, even if not specifically commercial, highlighted the use of algorithms borrowed from computer graphics for terrain segmentation, and adaptation of general purpose software for marine geomorphometry. Moreover, commercial and industrial applications were one of the key topics – along with the role of local/global elevation data – for a proposed session at the upcoming European Geoscience Union General Assembly, prepared by a few of the participants of Geomorphometry 2021.

Contributions presented at the conference are available as peer-reviewed short papers from the book of Proceedings of the 2020 submissions (CNR Edizioni, Rome), or on Zenodo, for new submissions. Most of the presentations are also available as PDF and/or video recording at the conference website; a few of the contributions also have a link to published papers, either on the special issue “Advances in geomorphometry” in the journal Transaction in GIS.


The beautiful city of Perugia


In-person attendance to the conference


Happy faces from all around the world

Latest Posts

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)

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.