WhiteboxTools Python Frontend
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Updated
Jan 31, 2026 - Python
WhiteboxTools Python Frontend
ArcGIS Python Toolbox for WhiteboxTools
An interactive GUI for WhiteboxTools in a Jupyter-based environment
Global FloodPLAIN mapping using a geomorphic algorithm
Fluvial Corridor Toolbox QGis Plugin
Fluvial Corridor Toolbox Applications
Geodiversity Tools is an ArcGIS Pro 3.x toolbox for calculating quantitative and qualitative geodiversity indicators using ArcPy. It supports vector and raster data and provides standardized tools for grid-based geodiversity analysis in research and conservation.
GMT and Python workflow for a quantitative morphometric typology of the twenty Pacific deep-sea trenches from GEBCO bathymetry, with the derived cross-profile database.
This repository contains a collection of geomorphometric analysis scripts developed primarily using Whitebox Workflows. These scripts are designed to automate the extraction, processing, and analysis of terrain-based indicesfor environmental modeling, landform classification, and hydrological applications.
Toolset for DEM co-registration, differencing, and topographic change analysis
Qgis Geomorphometric Analysis Toolkit — a scientific open-source framework for multi-scale terrain analysis using DEMs. Includes 12 geomorphological indices, validated numerical workflows, NaN-aware processing, metadata-rich GeoTIFF outputs, and parallel computation for large-scale raster datasets.
A QGIS Model Builder for automating watershed delineation
Research proposal for the PhD programme "Predicting and supporting benthic and pelagic biodiversity through geomorphometry and machine learning".
Reproducible Python/pyGMT pipeline quantifying the sensitivity of deep-sea trench morphometry to the choice of global bathymetric grid (GEBCO, SRTM15+, GMRT).
QGIS Processing Tool for unsupervised landform classification from DEMs using Gaussian Mixture Models (GMM) and Markov Random Fields (MRF).
Geomorphometric delineation of physiographic domains at Pacific subduction margins: axis-relative attribute stacks, unsupervised clustering, and reproducible figures.
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