PYEO (Python for Earth Observation libraries)

Introduction Development of python libraries to provide a set of portable, extensible and modular Python scripts for earth observation (with especial focus on Sentinel-2) and machine learning, including downloading, preprocessing, creation of base layers and classification
Country Colombia Ghana Indonesia Kenya Mexico
Start date 2016
Status Ongoing
Objective / Goal Development of python libraries to provide a set of portable, extensible and modular Python scripts for earth observation (with especial focus on Sentinel-2) and machine learning, including downloading, preprocessing, creation of base layers and classification
Partners

National Centre for Earth Observation (NCEO); University of Leicester; Institut Pertanian Bogor University (IPB); Resource Management Support Centre (RMSC); Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM); Kenya Forest Service (KFS); El Colegio de la Frontera Sur (ECOSUR); National Defence University of Malaysia

Contact

John F Roberts (jfr10@le.ac.uk)

Valentin Louis (valentin.louis@le.ac.uk)

More on this topic https://github.com/clcr/pyeo