Kart - the geospatial version control system - now with Rasters!
summary
Kart is now storing rasters and point clouds inside a Git repository using Git LFS, adding COG conversion on import and support for cloud-optimized point clouds (imports normalize to LAZ/1.4), with point‑cloud support landing in v0.12. It extends the LFS pointer to embed spatial extents (a Git LFS pointer hack) so users can perform spatially filtered clones and work with subsets without fetching whole datasets. It supports branching, merging, standard Git CLI workflows, fixed a PDAL/COCP corruption bug, and improved network streaming.
AI-written summary · about
chapters (13)
- 0:00Introduction to Kart
- 2:14Why version control matters
- 5:07Existing Kart features
- 6:30Point cloud support
- 9:01Point cloud formats
- 10:47Cloud-optimized point clouds
- 13:00Raster data support
- 14:48Modifying raster data
- 15:31Spatial filtering with LFS
- 17:39Contributions and fixes
- 18:20How to get Kart
- 19:02Git integration with spatial data
- 21:28Future cloud-native plans
related talks
22mTowards Open Data Cube 2 0
33mFrom Code to Collaboration Making Geospatial Open Source Software a Viable Option for
24mWhy LINZ uses open source software
22mData Exploration Made Easy with Open Source
42mOpen Data & Maps As Tools for More Impact
20mEnabling Local Government Innovation with Open Source Software
15mBeyondTracks: an OpenStreetMap case study
20mRecoding our workflows to FOSS4G