FANGS - Fire Applications with Next-Generation Satellites

The FANGS training course consists of Python-based training material and application examples on detection and monitoring of the fire life cycle. It is developed by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The developed training material makes use of proxy and simulated data, including data from precursor instruments of the Meteosat Third Generation (MTG) and the EUMETSAT Polar System - Second Generation (EPS-SG) / Metop Second Generation (Metop-SG) satellite missions. The training material is developed in the form of modular Jupyter notebook case studies on the 2020 wildfires in California, USA and the Mediterranean wildfires in 2021. In total, 24 notebooks were developed comprising five narrative notebooks and 19 workflow notebooks. These notebooks are available on a Gitlab repository as well as on a dedicated JupyerLab platform, where the notebooks can be executed. In addition, an accompanying Jupyter Book is also available as an entrypoint to the material.