Boštjan Muri (LSA SAF/ARSO) – Vegetation and fires from space: processing satellite products with Jupyter Notebooks
Boštjan Muri introduces LSA SAF vegetation and fire products through different showcases and presents a Jupyter notebook exercise on accessing and understanding the Fire Radiating Power (FRP) data.
The operational use of LSA SAF vegetation and Fire Radiative Power (FRP) satellite products derived from Meteosat observations is presented. Vegetation products are processed and analysed using Jupyter Notebooks, enabling reproducible workflows for data handling, visualisation and analysis. The examples demonstrate how processing of vegetation products supports vegetation monitoring and analysis for agrometeorology, forestry and environmental applications, linking satellite observations with operational services.
For wildfire monitoring, a Jupyter Notebook–based tutorial is presented, analysing fire activity using LSA SAF FRP products from the MSG/SEVIRI and MTG/FCI sensors. The tutorial demonstrates data access, preprocessing and statistical analysis of high-confidence FRP observations, including full-disc overviews, temporal aggregation, spatial mapping and inter-sensor comparison. Selected case studies illustrate detailed fire analysis and differences between the sensors. The provided Jupyter Notebook materials are suitable for both basic and more advanced users. You can find the Jupyter Notebook files in the Jupyter Notebook instructions.