geomorphometry terrain toolbox

Published: Sep 23, 2009 by Hannes Reuter

Short title: amltools

ArcInfo Arc Marco Language Code (AML) Geomorphometry Toolbox contains a collection of terrain analysis scripts which can be used with a installation of ArcInfo’s Workstation. Please note: They are not working with ARCVIEW and also not directly with ArcGIS, even if it is possible to run AML Code from inside ArcGIS. Still, you need ArcInfo Work Station installed. For a quick start please refer to readme.txt for some command calls or to the outdated topomanual2.pdf.

The ArcGIS Geomorphomerty Python toolbox (DEMO Version) works up to a cell limit of 5000 cells. It contains a significant larger amount of functionality. As of Version 1.0.6 you do not need ArcInfo WS to be installed anymore if AG10 is installed. I rewrote IFTHENELSE and DOCELL in python. Previous Versions(AG9.4) will still need to install ArcInfo Workstation on your machine as ESRI programmers have not been able to port certain GRID functions as DOCELL. The gtb_demo zip contains now three different zip files for the respective Python Version (2.4-2.6) you might be using. If you get the magic number error, the installed tollbox does not match your installed python version. Current Version is 1.0.6.

For further information and FULL version please refer to www.ai-relief.org.

Programming environment: Arc AML
Status of work: Public Domain
Reference: Geomorphometry: Concepts, Software, Applications

geomorphometry_aml.zip

gtb_demoV1.0.6_0.zip

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

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.

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)