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.

Conveniently search, download, and process ArcticDEM and REMA products

The Python interface to HexWatershed a mesh independent flow direction model for hydrologic models

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

Terrain Analysis: UNiversal Tool

Automated Terrain Analysis Based On Satellite Images and Infrastructure Planning

A 2D implementation of the IA data structure for the analysis of triangulated meshes

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

Multi-scale landscape features in Python

Solving for y: digital soil mapping using statistical models and improved models of land surface

This program trains a fully connected feed-forward neural network to estimate if line-of-sight exists (binary, 0 or 1) for equally spaced points along a 2-dimensional terrain. The inputs to the model are the elevations of equally spaced points along the line-of-sight vector. The outputs are binary predictions of if line-of-sight exists between t…

C++ program to find optimal paths through 16b png heightfields