geomaster
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
- Version
- 1.3
- License
- MIT License
Pinned to revision 70a605012eee, 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/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/scientific-domains.md
- skills/geomaster/references/specialized-topics.md
- skills/geomaster/references/troubleshooting.md
Every link opens the file at its source, pinned to the revision this page describes.