geomaster

SUMMARY

What it does

A 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. The skill includes installation instructions, quick start examples (NDVI, spatial analysis, Google Earth Engine time series), core concepts (data types, coordinate systems, OGC standards), common operations (spectral indices, vector operations, terrain analysis, network analysis), image classification, cloud-native workflows, performance tips, best practices, and references to detailed documentation. The source is a SKILL.md file from the K-Dense-AI/scientific-agent-skills repository, licensed under MIT.