Metadata-Version: 2.4
Name: easy-eo
Version: 0.1.0
Summary: A lightweight Earth Observation utilities library for chainable raster operations
Project-URL: Homepage, https://github.com/tommy-burns/easy-eo
Project-URL: Repository, https://github.com/tommy-burns/easy-eo
Project-URL: Documentation, https://easy-eo.readthedocs.io
Project-URL: Issues, https://github.com/tommy-burns/easy-eo/issues
Author: Thomas Burns Botchwey
License: MIT License
        
        Copyright (c) 2025 Thomas Burns Botchwey
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Keywords: earth observation,gis,raster,remote sensing
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.10
Requires-Dist: geopandas<1.2,>=1.1
Requires-Dist: matplotlib<3.11,>=3.10
Requires-Dist: numpy<2.2,>=1.26
Requires-Dist: rasterio<1.5,>=1.4
Description-Content-Type: text/markdown

# 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)

---

## Installation

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

## Quick Example
```python
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
