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Ebergotzen

Ebergötzen is 10x10 km study area in the vicinity of the city of Göttingen in Central Germany (51°30’03.16’’–51°35’31.45’‘N; 10°00’28.67’’–10°09’15.21’‘E). This area has been extensively surveyed over the years, mainly for the purposes of developing operational digital soil mapping techniques. The dataset has also been frequently used by the SAGA development team and the SciLands GmbH in many of their demonstrations and documents.

Courtesy of Gehrt Ernst, the State Authority for Mining, Energy and Geology, Hannover, Germany.

The final Google Earth layout showing predicted soil texture fractions in topsoil.

Available layers:

- points.dbf - the point dataset consists of lab measurements four variables are available: SAND, SILT and CLAY (all expressed as % of mass measured for the 0-30 cm layer of soil) and SOILTYPE (type of soil based on the German classification system).
- DEM25.asc - 25 m DEM derived from the topo-maps;
- DEM100.asc - 100 m SRTMDEM;
- landimg.lan - LANDSAT image bands obtained from the http://image2000.jrc.it Corine Land Cover 2000 Project. The image consists of seven bands.
- ZONES.asc - 1:50.000 geological map of Germany.

Grid definition:

ncols: 400
nrows: 400
xllcorner: 3570000
yllcorner: 5708000
cellsize: 25 mproj4:+init=epsg:31467

Lineage: All input raster maps are in ArcInfo *.asc format, and the point data (tables) are in a *.dbf format. All coordinates are in the official German coordinate system, zone 3 (germany3): Transverse Mercator Projection, central meridian is 9°, false easting 3500000, Bessel 1841 ellipsoid with Potsdam datum. The bounding coordinates of the study area are: XMIN=3570000, YMIN=5708000, XMAX=3580000, YMAX=5718000. The input raster maps are available in two grid resolutions: 25 m (fine) and 100 m (coarse). The sand, silt and clay values have been determined by using the so-called_texture by hand_method: a surveyor distinguishes to which of the 32 texture classes a soil samples belongs to, and then estimates the content of fractions. E.g. texture classSt2has 10% clay, 25% silt and 65% sand.

Data owner: State Authority for Mining, Energy and Geology, Hannover, Germany
Reference: Gehrt, E., Buhner, J., (2001) Vom punkt zur flache — probleme des ‘upscaling’ in der bodenkartierung. In: Diskussionsforum Bodenwissenschaften: Vom Bohrstock zum Bildschirm. FH, Osnabruck, pp. 17-34.

Location:Ebergotzen, Germany
51° 34’ 19.2324” N,10° 6’ 28.7964” E
See map:Google Maps


Attachment:

ebergotzen.zip

ebergotzen_input.zip

Digital soil mapping for Baranja Hill

Short title:BARSOIL

Inputs:baranja.txt - 59 field profile observations; 15 raster maps (predictors);
Outputs:Predictions and simulations of SOLUM and GLEY_P.

Purpose and use:

Script to interpolate soil thickness (SOLUM) and occurrence of gley horizon (GLEY_P) using land-surface parameters and mapping units. Prepared for the needs of book ‘Geomorphometry: concepts, software, applications’.

Programming environment:R / S language
Status of work:Public Domain

Reference: Geomorphometry: Concepts, Software, Applications
Data set name: Baranja hill

Attachment:

BARSOIL.zip

Geomorphometry 2009 - Programme

Start: Aug 31 2009 - 09:15End: Sep 2 2009 17:30
Timezone: Europe/Amsterdam

Programme

Monday 31.08.2009

09:15-09:25 Welcoming remarks
09:25-10:15 From ontologies to software (Ross Purves)
  Ralph K. Straumann
Experiences in developing landform ontologies
  T. Hengl, C.H. Grohmman, R.S. Bivand, O. Conrad and A. Lobo
SAGA vs GRASS: a comparative analysis of the two open source desktop GIS for the automated analysis of elevation data
10:15-10:45 Coffee break
10:45-12:30 Methodological developments (Ian Evans)
  John Gallant and Michael Hutchinson
A differential equation for specific catchment area
  Scott Peckham
A New Algorithm for Creating DEMs with Smooth Elevation Profiles
  Thomas Grabs, Jan Seibert, Kelsey Jencso and Brian McGlynn
Calculation of side-separated contributions to stream networks – a new tool to characterize riparian zones
  Justin Washtell, Stephen Carver and Katherine Arrell
A viewshed based classification of landscapes using geomorphometrics
12:30-13:30 Lunch
13:30-14:30 Keynote: Jo Wood
Visualizing Geomorphometry: Lessons from Information Visualization
14:30-15:45 Extracting landscape elements (David Mark)
  Svein Olav Krøgli, Henning Dypvik and Bernd Etzelmüller
Correlation of radial profiles extracted from automatic detected circular features, in the search for impact structure candidates
  Bård Romstad and Bernd Etzelmüller
Structuring the Digital Elevation Model into Landform Elements through Watershed Segmentation of Curvature
  Niels Anders, Harry Seijmonsbergen and Willem Bouten
Multi-scale and object-oriented image analysis of high-res LiDAR data for geomorphological mapping in alpine mountains
15:45-16:15 Coffee break
16:15-18:00 Soil mapping and properties (Tomislav Hengl)
  Rania Bou Kheir, Mogens Greve and Peder Bocher
Use of digital terrain analysis and classification trees for predictive mapping of soil organic carbon in southern Denmark
  Korbinian Kringer, Markus Tusch, Clemens Geitner, Martin Rutzinger, Christoph Wiegand and Gertraud Meißl
Geomorphometric Analyses of LiDAR Digital Terrain Models for Digital Soil Mapping
  Markus Möller, Thomas Koschitzki and Klaus-Jörg Hartmann
Terrain-related revision of existing soil maps
  Brendan Malone
Mapping continuous soil depth functions in the Edgeroi district, NSW, Australia, using terrain attributes and other environmental factors
18:30-19:15 Geomorphometry Society Meeting
19:30-20:30 Welcome drink

   Tuesday 1.09.2009

09:00-10:15 Global-scale geomorphometry (John Gallant)
  Marcello A. V. Gorini
Physiographic classification of the ocean floor: a multi-scale geomorphometric approach
  Peter Guth
Global Survey of Organized Landforms: Recognizing Linear Sand Dunes
  Hannes Isaak Reuter and Andrew Nelson
WorldTerrain- A Contribution to the Global Geomorphometric Atlas
10:15-10:45 Coffee break
10:45-12:30 Multiscale methods (Jo Wood)
  Katherine Arrell and Stephen Carver
Surface roughness scaling trends
  Michael Kalbermatten, Dimitri Van De Ville, Stéphane Joost, Michael Unser and François Golay
Laplace-gradient wavelet pyramid and multiscale tensor structures applied on high resolution DEMs
  Lucian Dragut, Clemens Eisank, Thomas Strasser and Thomas Blaschke
A comparison of methods to incorporate scale in geomorphometry
  Carlos Grohmann, Mike Smith and Claudio Riccomini
Surface roughness of topography: a multi-scale analysis of landform elements in Midland Valley, Scotland
12:30-13:30 Lunch
13:30-14:30 Keynote: Stephan Landtwing
14:30-15:45 Data considerations (Hannes Reuter)
  John Gallant and Arthur Read
Enhancing the SRTM data for Australia
  Rüdiger Köthe and Michael Bock
Preprocessing of Digital Elevation Models - derived from Laser Scanning and Radar Interferometry - for Terrain Analysis in Geosciences
  Haris Papasaika and Emmanuel Baltsavias
Investigation on the Relation of Geomorphological Parameters to DEM Accuracy
15:45-16:15 Coffee break
16:15-18:00 Geomorphological applications (Peter Guth)
  Nicolas Sougnez and Veerle Vanacker
Spatial variability in channel and slope morphology within the Ardennes Massif, and its link with tectonics
  Balázs Székely, Eszter Király, Dávid Karátson and Tamás Bata
A parameterisation attempt of scoria cones of the San Francisco Volcanic Field (Arizona, USA) by conical fitting
  Mathias Ulmer, Peter Molnar and Ross Purves
Influence of DEM and soil property uncertainty on an infinite slope stability model
18:00-late Conference dinner

   Wednesday 2.09.2009

09:00-10:15 Extraterrrestrial geomorphometry (Scott Peckham)
  Tomasz Stepinski and Chaitanya Bagaria
A Two-Stage Classification Approach for Effective Geomorphic Mapping of Planetary Surfaces
  Roderik Koenders, Roderik Lindenbergh and Tanja Zegers
Automated classification of Martian morphology using a Terrain Fingerprinting Method
  Balázs Székely and Tomaž Podobnikar
A method for automated extraction of Martian talus slopes – case studies of Nanedi Valles and West Candor Chasma, Mars
10:15-10:45 Coffee break
10:45-12:30 Extracting hydrological networks (Robert MacMillan)
  Paolo Tarolli, Giancarlo Dalla Fontana, Giovanni Moretti and Stefano Orlandini
Cell Size Dependence of Threshold Conditions for the Delineation of Drainage Networks from Gridded Elevation Data
  Nathalie Thommeret, Jean-Stéphane Bailly and Christian Puech
Robust extraction of thalwegs networks from DTMs for topological characterisation: a case study on badlands
  Ashraf Afana and Gabriel Del Barrio
An Adaptive Approach for Channel Network Delineation from Digital Elevation Models
  Laura Poggio and Pierre Soille
Influence of spurious pit removal methods on the position of river networks extracted from SRTM
12:30-13:30 Lunch
13:30-14:30 Keynote: David Mark
From Land Form to Landforms: Bridging the Quantitative-Qualitative Gap in a Multilingual Context
  Extracting hydrological networks (continued)
14:30-15:00 Markus Metz, Helena Mitasova and Russel Harmon
Fast stream extraction from large, radar-based elevation models with variable level of detail
15:00-15:30 Coffee break
15:30-16:45 Glaciological applications (Stephan Gruber)
  Andreas Linsbauer, Frank Paul, Martin Hoelzle, Holger Frey and Wilfried Haeberli
The Swiss Alps Without Glaciers – a GIS-based Modelling Approach for Reconstruction of Glacier Beds
  Ian Evans
Allometric development of glacial cirques: an application of specific geomorphometry
  Regula Frauenfelder, Bernhard Schneider and Bernd Etzelmüller
Morphometric modelling of rockglaciers – A case study from the Alps
16:45 Closing remarks

Zlatibor

The case study area ‘Zlatibor’ is located in the South-western part of Serbia (centred at 43°43’44.6’‘N and 19°42’37.8’‘E). The area is mainly hilly plateau, with the exception of the north-east part where the slopes are much steeper. Elevations range from 850 m to a maximum of 1174 m; the total size of the area is 13.5 square kilometers.

Study area Zlatibor: (a) perspective view on the area (1:25,000 topo-map) and location of 1020 error assessment points, (b) a preview of the auxiliary predictors used for the geostatistical modeling

Available layers:

- elevations.txt - a set of 2051 height measurements used for generation of DEMs;
- control.txt - a set of 1020 very precise spot heights used for error assessment;
- dem30.asc - the original topo-map DEM at 30 m resolution;
- SRTMDEM.asc - 3 arcsec (90 m) SRTM DEM;

Grid definition:

ncols: 150
nrows: 100
xllcorner: 7394249
yllcorner: 4841999
cellsize: 30 m

proj4:+proj=tmerc +lat_0=0 +lon_0=21 +k=0.9999 +x_0=7500000 +y_0=0 +ellps=bessel +towgs84=574.027,170.175,401.545,4.88786,-0.66524,-13.24673,0.99999311067 +units=m

Lineage:

The original topo-map DEM was produced by digitizing contour layers from two adjacent sheets of the 1:5000 topographic maps with contour interval of 5 m. Two sheets were scanned by ANATech Evolution scanner with 400 DPI resolution, then georeferenced to the Gauss-Krüger coordinate system (7th zone) and converted to a point map using a semi-automated digitalization of contour lines (I/GEOVEC, Intergraph program module). The faults obtained during automated digitalization were removed by 3D editing of contour lines. The final DEM was produced using the ArcGIS 3D analyst: first a TIN was produced, which was then converted to a regular grid of 30~m resolution. This will be referred to as the topo-DEM in further text. The original points extracted from the topo-map (51,847 points) were sub-sampled (for computational efficiency) to 2051 points.

A set of 1020 photogrammetric control points was provided with the help of the Geodetic governmental authority of Serbia. These were obtained throughout the orthophoto map production of the scale 1:1000 for local municipality. Aerial images were obtained using the RMK 21/23 analog camera with calibrated focal length f=207.96 mm. The average flying altitude was 1040 m. A stereoscopic model was produced using the WILD A10 analog stereo-restitution instrument and MapSoft2000 program package. The land-surface points were measured manually from the stereoscopic model with average lag of 15 m. This gave a total number of 46,021 points that were sub-sampled to 1020 points for faster processing. The estimated height accuracy of control points is 15 cm which allows us to use it as ground truth for the topo-DEM.

Data owner: Geodetic governmental authority of Serbia
Reference: Geostatistical modelling of topography using auxiliary maps
Location: Zlatibor, Serbia
43° 43’ 0.0012” N,19° 41’ 60” E See map: Google Maps


Attachment:

Download

Fishcamp

The case study “fishcamp” is of size 1x2 km; located at 37.46353 N; 119.6119 W. The coordinate system used is the UTM NAD83 zone 11 North i.e. EPSG:26911. The complete dataset was obtained from the USGS National Map seamless server.

Fishcamp data layers.

  • 2.5 m LiDAR DEM

  • 1 m color orthoimage

  • Topo-map 1:25k (contour lines)

  • 10 and 25 m DEMs

Available layers:

- DEM2m.asc - 2.5 m DEM derived from the LiDAR survey (ground reflectance);
- DEMNED03.asc - 10 m National Elevation Dataset;
- DEMSRTM1.asc - 1 arcsec SRTM DEM (finilized);
- lidar.shp - subsampled LiDAR point measurements (the original dataset consist of over 5 milion of points);
- orthoimg.lan - National Agriculture Imagery Program (NAIP) Orthoimagery for Zone 11;
- topo24k.lan - 1:24k topo-map “White Chief Mountain, CA (37119-D5-TF-024);
- contours.shp - contours digitized from the topo24k map; - tstreams.shp - contour lines digitized from the topo map;
- soilmu.asc - 5 m gridded soil map for the area (1=”HOLLAND FAMILY, 35 TO 65 PERCENT SLOPES”, 2=”CHAIX-CHAWANAKEE FAMILIES-ROCK OUTCROP COMPLEX”, 3=”CHAIX FAMILY, DEEP, 5 TO 25 PERCENT SLOPES”, 4=”CHAIX FAMILY, DEEP, 15 TO 45 PERCENT SLOPES”, 5=”HOLLAND FAMILY, 5 TO 65 PERCENT SLOPES (VALLEYS)”, 6=”CHAIX-CHAWANAKEE FAMILIES-ROCK OUTCROP COMPLEX (HILLTOPS)”)

Grid definition:
ncols: 400
nrows: 200
xllcorner: 267999
yllcorner: 4148999
cellsize: 5 m

proj4:+init=epsg:26911 +proj=utm +zone=11 +ellps=GRS80 +datum=NAD83 +units=m +no_defs +towgs84=0,0,0

Lineage:
The data set was obtained from the USGS National Map seamless server (http://seamless.usgs.gov). The map of soil mapping units was obtained from the Natural Resources Conservation Service (NRCS) Soil Data Mart (http://soildatamart.nrcs.usda.gov). The scripts used to predict soil mapping units and extract landforms are available via the authors website. The elevations range from 1400 to 1800 meters. There are six soil mapping units: (1) Holland family, 35 to 65% slopes; (2) Chaix-chawanakee family-rock outcrop complex; (3) Chaix family, deep, 5 to 25% slopes; (4) Chaix family, deep, 15 to 45% slopes, (5) Holland family, 5 to 65% slopes, valleys; (6) Chaix-chawanakee families-rock outcrop complex, hilltops.

Data owner: USGS
Reference: A Practical Guide to Geostatistical Mapping of Environmental Variables

Location:Fishcamp, United States
37° 27’ 48.708” N,119° 36’ 42.84” W
See map: Google Maps


Attachment:

fishcamp.zip

fishcamp_orthoimg.zip

Latest Posts

Cover Design Contest for the Upcoming Book on Geomorphometry

Dear geomorphometry community,

We are pleased to invite submissions for a cover design contest for the second edition of the Geomorphometry book, to be published in 2026.

The submissions will be gathered in a poll, and the entire community will be able to vote for their favorite design.

If your design is selected, you will receive the appropriate credits, but would need to provide the necessary permissions to use the image.

You can submit your design by email before October 17th. Please ensure that the image is of at least 300 dpi resolution.

Get designing!

The editors,
Hannes Reuter
Carlos Grohmann
Vincent Lecours

Coffee Talk - Recent Research Progress in Geomorphometry in China

Recent Research Progress in Geomorphometry in China

Dr. Li-Yang Xiong
Nanjing Normal University, China

October 1st , 2025
8:00 MDT (UTC -6), 10:00 EDT (UTC -4), 11:00 BRT (UTC - 3), 15:00 BST (UTC +1), 16:00 CEST (UTC +2), 17:00 EEST (UTC +3), 22:00 CST (UTC +8)

Recording available in our YouTube channel

Bio: Dr. Li-Yang Xiong is a professor at the School of Geographical Science, Nanjing Normal University (NNU), China. He is currently responsible for managing NNU’s research in Digital Terrain Model and Digital Terrain Analysis. His main research interests include AI based terrain modelling, loess terrain feature characterization, landform evolution modeling, paleotopography reconstruction and geomorphological process mining. His recent work involves deep learning-based DEM reconstruction, geomorphology-oriented digital terrain analysis, and value-added digital terrain applications for geoscience. He also serves as Associate Editor for the journal Earth Surface Processes and Landforms and as an Editorial Board Member for International Journal of Geographical Information Science.

Abstract: In this talk, I will present some recent research achievements related to terrain modelling theory, terrain analysis method and terrain application in China. This terrain modeling theory focused on how we understand terrain knowledge and integrate it into AI methods for terrain reconstruction. In term of the terrain analysis method, the mathematical vector operation we believe should be highlighted in the research of Geomorphometry, which is suitable for multi-source data structure by considering the directional property of terrain parameters. Actually, this directional property should be made a full consideration for process- oriented geographical modeling and simulation. Lastly, I will show some terrain applications towards different typical geographical areas in China as well as global scale application.

PHD position in Italy

Dear colleagues,

I’m grateful if you can circulate information on this PhD opportunity in Italy. The potential candidates can contact me (strevisani@iuav.it) for further information. Here the main elements of the position:

Research topics: Predicting and supporting benthic and pelagic biodiversity through geomorphometry and machine learning

Link to the call (Italian and English): https://www.unipa.it/didattica/dottorati/dottorato-xli/bando-di-accesso-ciclo-41/

Position code [BIODIV.OGS]

Research headquarters OGS Trieste and University of Palermo

Funded by OGS - Istituto Nazionale di Oceanografia e di Geofisica Sperimentale

Key dates: Deadline: 7th August 2025 - 14:59 (Italian time)