Harrison miles

A project focused on leveraging next-generation satellite data to improve fire detection and monitoring, enhancing understanding of fire behavior and supporting environmental research.

"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."

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FANGS - Fire Applications with Next-Generation Satellites

Last Updated 06 / 2025

0

Harrison miles

Details :

NFT Gated

5.0

119

English

Full Course

FREE

Description

Course's Content

" FANGS - Fire Applications with Next-Generation Satellites"

Skills you'll gain

Prerequisites

License & Usage Terms

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