easy-eo 0.1.0

A lightweight Earth Observation utilities library for chainable raster operations

EasyEO

EasyEO is a lightweight, extensible Python library for raster-based Earth Observation (EO) analysis which allows for chainable raster processing, algebra, and visualization. It provides high-level abstractions over libraries such as Rasterio, NumPy, and Matplotlib, enabling users to perform common earth-observation analyses and visualization tasks efficiently, without dealing with the underlying complexity.

Features

• Raster operations with spatial awareness
• Algebraic operations (add, subtract, multiply, divide)
• Resampling, reprojection, and alignment
• Clip rasters using vectors or bounding boxes
• Normalization (min-max, percentile, z-score)
• Visualization helpers (bands, composites, histograms)
• Backend-aware design (NumPy ↔ Rasterio)

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Installation

conda create -n env_name python=3.10
conda activate env_name
pip install easy-eo

Quick Example

from eeo import load_raster

ds_nir = load_raster("path/to/nir.tif")
ds_red = load_raster("path/to/red.tif")

# Chainable example: clip -> resample -> compute NDVI -> multiply
result = ds_nir.clip_raster_with_bbox((0,0,1000,1000))
                .resample(scale_factor=2)
                .normalized_difference(ds_red)
                .multiply(100)

Supported Backends

Backend	Description
NumPy	Fast, in-memory arrays without I/O
Rasterio	Full geospatial support (CRS, transform, resampling)

Documentation

📚 Full documentation is available at:

👉 https://easyeo.readthedocs.io

Project Status

🚧 Active development
The API is stabilizing but may change before v1.0.

Contributing

Contributions are welcome!

• Bug reports
• Feature requests
• Documentation improvements

Please open an issue or pull request on GitHub.

License

MIT License © 2025 Thomas Burns Botchwey