A Python package for delineating nested surface depressions from digital elevation data.

Analysis of digital elevation models and elevation point clouds

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

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).

A Python package for modeling fill-spill hydrology in depression-dominated landscapes

A feature line extractor from terrain point cloud data using projection-based approach.

Sistema de operações geográficas com visual tático e APIs externas

Automated Terrain Analysis Based On Satellite Images and Infrastructure Planning

Python-based slippy map tile server that downloads USGS 3DEP LIDAR point clouds, processes them into DSMs and generates tiles. Intended to reveal hidden terrain features (building edges, cliffs) under vegetation in OpenStreetMap iD Editor

FTS and IMU analysis code for planetary rovers, published in JIRS

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.

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…

Computer-Vision based Cartography-System

Toolkit for focal site multi-scale studies in Python

A Python-based Decision Support System (DSS) that predicts soil erosion risk in tons/hectare using Multiple Linear Regression on rainfall and slope data, with automated risk classification and engineering recommendations. Built for Ghanaian terrain.

Professional API for 3D RF sensor coverage analysis using real terrain data

Lighting-aware shadow segmentation for terrain intelligence using MMSegmentation, custom loss functions, and reproducible training/evaluation pipelines.