geomaster
Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation. Use when processing satellite imagery, aligning coordinate systems and raster grids, accessing STAC catalogs, analyzing geospatial time series, or implementing scientific GIS workflows in Python, R, Julia, JavaScript, C++, Java, Go, or Rust.
- Version
- 1.5
- License
- MIT License
- Compatibility
- Core examples require Python 3.12+ and GeoPandas, Rasterio, NumPy and PyProj. Optional workflows require their named packages, native GIS applications, GPU runtimes, or service credentials and network access.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/geomaster/SKILL.md
- skills/geomaster/README.md
- skills/geomaster/SKILL_CN.md
- skills/geomaster/references/advanced-gis.md
- skills/geomaster/references/big-data.md
- skills/geomaster/references/code-examples.md
- skills/geomaster/references/coordinate-systems.md
- skills/geomaster/references/core-libraries.md
- skills/geomaster/references/data-sources.md
- skills/geomaster/references/gis-software.md
- skills/geomaster/references/industry-applications.md
- skills/geomaster/references/machine-learning.md
- skills/geomaster/references/programming-languages.md
- skills/geomaster/references/remote-sensing.md
- skills/geomaster/references/review.md
- skills/geomaster/references/scientific-domains.md
- skills/geomaster/references/specialized-topics.md
- skills/geomaster/references/troubleshooting.md
- skills/geomaster/scripts/raster_workflows.py
Every link opens the file at its source, pinned to the revision this page describes.