opengeos/lidar
A Python package for delineating nested surface depressions from digital elevation data.
Repository profile
Generate DTM (Digital Terrain Model) from DSM (Digital Surface Model).
Repository updates
Get generated seedlit/dsm2dtm development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-12 03:10
5 captures since 2026-05-23
Stars from baseline +1
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-12 03:10
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
Nearest indexed repositories by embedding similarity.
A Python package for delineating nested surface depressions from digital elevation data.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
A command-line tool for converting heightmaps in GeoTIFF format into tiled optimized meshes.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Spatial analysis algorithms for xarray implemented in numba
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)