This is a framework that gives the potential for the monitoring of the Common Agricultural Policy based on Analysis Ready Data (ARD) stored in the Open Data Cube (ODC)
It has a series of simple and fully automated function allowing users to work with the data without the need of writing complex code.
There are a few, important steps to be done before the usage of notebooks
Make sure that you have installed the following:
- Python 3.6
- GDAL
- PostgreSQL database
- any other included in the requirements.txt
Afterwards, datacube has to be installed and configured. The full installation guide for ODC can be found here: https://datacube-core.readthedocs.io/en/latest/ops/install.html
Supported by the ENVISION (No. 869366) and the CALLISTO (No. 101004152) projects, which have been funded by EU Horizon 2020 programs.
Please check the notebooks
If you find this work useful in your research, please cite:
@inproceedings{sitokonstantinou2022datacap,
title={DataCAP: A Satellite Datacube and Crowdsourced Street-Level Images for the Monitoring of the Common Agricultural Policy},
author={Sitokonstantinou, Vasileios and Koukos, Alkiviadis and Drivas, Thanassis and Kontoes, Charalampos and Karathanassi, Vassilia},
booktitle={International Conference on Multimedia Modeling},
pages={473--478},
year={2022},
organization={Springer}
}