https://eo-crops.readthedocs.io/en/latest/
🌾 Python library for crop monitoring using Earth Observations🛰
A small python module that brings together the features of SentinelHub, the eo-learn python library and OrfeoToolBox for basic downloading and processing of Earth observation data for crop monitoring. SentinelHub account can be sponsored by the ESA Network-of-Resources (NoR) program. For weather data, you need to have the meteoblue API
The documentation is available on this link
⚠ On Windows, you need to have C++ using vs_BuildTools.exe installed for making geospatial libraries working ⚠
To install the package, you must first clone the git repository to the desired folder
git clone git@github.com:j-desloires/eo-crops.gitThen, open Anaconda prompt and create the environment from environment.yml
cd eo-crops
conda env create -f environment.yml
conda activate eo-crops
pip install .
If you want to run a jupyter notebook, you need to install jupyter on the environment. Then, you will be able to select the kernel.
pip install notebook
conda install -c anaconda ipykernel -y
python -m ipykernel install --user --name=eo-crops
jupyter notebook
You should have OrfeoToolBox installed (https://www.orfeo-toolbox.org/CookBook/Installation.html) if you would like to apply pansharpening and multitemporal speckle filtering (Quegan).
@misc{eocrops_2022,
title={eo-crops Python package for processing Earth observations for crop monitoring},
author={Johann Desloires},
year={2022},
publisher={Github},
journal={GitHub repository},
howpublished={\url{https://github.com/j-desloires/eo-crops}},
}