rasterio
CommunityGeospatial raster data processing.
Authortondevrel
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the complex task of reading, writing, and manipulating georeferenced raster data, such as satellite imagery and elevation models, making geospatial analysis accessible in Python.
Core Features & Use Cases
- Read/Write Georeferenced Rasters: Handles formats like GeoTIFF, NetCDF, etc.
- Coordinate Reference System (CRS) Management: Works with CRS and performs reprojections.
- Band Math & Spectral Indices: Computes indices like NDVI, NDWI for land analysis.
- Vector Clipping: Clips raster data to polygon boundaries.
- Memory-Efficient I/O: Processes large files without loading them entirely into memory.
- Use Case: Analyze changes in vegetation health over time by calculating NDVI from satellite imagery for specific regions, clipping the results to administrative boundaries.
Quick Start
Use the rasterio skill to read band 1 from 'satellite_image.tif' and display it.
Dependency Matrix
Required Modules
numpymatplotlibgeopandasshapelyfiona
Components
scriptsreferences
💻 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: rasterio Download link: https://github.com/tondevrel/scientific-agent-skills/archive/main.zip#rasterio Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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