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rioxarray-remote-sensing

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Compute NDVI/EVI from GeoTIFFs fast.

Education & Research#rasterio#cog#reprojection#ndvi#geotiff#evi#cloud masking
Authorxjtulyc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you turn multispectral GeoTIFF imagery into analysis-ready rasters by handling geospatial metadata correctly and performing common vegetation workflows.

Core Features & Use Cases

  • GeoTIFF I/O with CRS safety: Read and write GeoTIFFs while preserving coordinate reference system (CRS), bounds, and nodata behavior via rioxarray/rasterio.
  • Reproject, resample, and align rasters: Reproject to a new CRS, resample with appropriate interpolation, and match grids for multi-scene or multi-sensor studies.
  • Vegetation index computation (NDVI/EVI): Calculate NDVI/EVI from spectral bands with proper scaling and numeric masking.
  • Cloud masking and mosaicking: Mask cloud-contaminated pixels using QA bit fields and mosaic multiple scenes into a seamless product.
  • COG export for web delivery: Export processed outputs as Cloud-Optimized GeoTIFFs for efficient downstream access and visualization.

Quick Start

Use the rioxarray-remote-sensing skill to read a multispectral GeoTIFF, compute NDVI/EVI, and export the result as a Cloud-Optimized GeoTIFF ready for web delivery.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: rioxarray-remote-sensing
Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#rioxarray-remote-sensing

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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