ml-geomaster
OfficialMaster geospatial science & analysis
Education & Research#machine learning#geospatial#gis#spatial analysis#remote sensing#earth observation
Authorbiomaps-infra
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive toolkit for anyone needing to perform geospatial analysis, from basic GIS operations to advanced machine learning on Earth observation data.
Core Features & Use Cases
- Geospatial Data Processing: Handle vector and raster data, perform spatial analysis, and visualize results.
- Remote Sensing Workflows: Process satellite imagery (Sentinel, Landsat, SAR), calculate spectral indices, and perform land cover classification.
- Spatial Machine Learning: Apply ML models for image classification, object detection, and spatiotemporal analysis.
- Use Case: A researcher needs to analyze changes in forest cover over the last decade using Sentinel-2 imagery. They can use this Skill to download the data, calculate NDVI for each year, classify forest vs. non-forest areas, and quantify the deforestation rate.
Quick Start
Use the ml-geomaster skill to calculate the NDVI from the file 'sentinel2.tif'.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ml-geomaster Download link: https://github.com/biomaps-infra/blender-opencode/archive/main.zip#ml-geomaster Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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