A Python package for delineating nested surface depressions from digital elevation data.
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Updated
Feb 27, 2025 - Python
A Python package for delineating nested surface depressions from digital elevation data.
Analysis of digital elevation models (DEMs)
This is the code base for GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments.
The Python interface to HexWatershed a mesh independent flow direction model for hydrologic models
Conveniently search, download, and process ArcticDEM and REMA products
A standalone plugin for python SC2 API
Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).
ICESat-2 ATL03/ATL08 Processing and Analysis
Dynamics and Control of a Six-wheeled Rover with Rocker-Bogie Suspension
A Python package for modeling fill-spill hydrology in depression-dominated landscapes
A 2D implementation of the IA data structure for the analysis of triangulated meshes
Terrain Analysis: UNiversal Tool
Automated Terrain Analysis Based On Satellite Images and Infrastructure Planning
Morphometric parameters
A feature line extractor from terrain point cloud data using projection-based approach.
Course assignment: using OSM and terrain analysis for narrow habitat locations of a fynbos species
C++ program to find optimal paths through 16b png heightfields
Multi-scale landscape features in Python
Scale Effects on Terrain Attribute Calculation and Their Use as Environmental Covariates for Digital Soil Mapping
This program generates synthetic 2-dimensional terrain and calculates line-of-sight along that terrain. The program can generate any number of synthetic terrain sets with the associated line-of-sight vectors that indicate is line-of-sight exists between the observer and all the points along the terrain.
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