Weather
The monthly meetings (2020 - 2021) inform trainers about the MTG satellites, their onboard instruments, data, case studies, products, proxy data that can be used and everything connected to the training topic. The meetings were mainly intended for trainers, but the recordings are available to anyone.
Topics from this meeting: Fire Temperature RGB Quick Guide, QG Templates, Case studies.
Meeting 7 September 2020 - 60 min
The monthly meetings (2020 - 2021) inform trainers about the MTG satellites, their onboard instruments, data, case studies, products, proxy data that can be used and everything connected to the training topic. The meetings were mainly intended for trainers, but the recordings are available to anyone.
Topics from this meeting: Cloud Type RGB, Cloud Phase RGB, Case studies.
Meeting 8 June 2020 - 15 min
The monthly meetings (2020 - 2021) inform trainers about the MTG satellites, their onboard instruments, data, case studies, products, proxy data that can be used and everything connected to the training topic. The meetings were mainly intended for trainers, but the recordings are available to anyone.
Topic from this meeting: Cloud Type RGB Quick Guide.
Meeting 4 May 2020 - 25 min
The monthly meetings (2020 - 2021) inform trainers about the MTG satellites, their onboard instruments, data, case studies, products, proxy data that can be used and everything connected to the training topic. The meetings were mainly intended for trainers, but the recordings are available to anyone.
Topics from this meeting: EUMETSAT MTG Training, 1.38 μm channel guide, Cloud Type RGB guide, Case studies.
Meeting 2 March 2020 - 49 min
The monthly meetings (2020 - 2021) inform trainers about the MTG satellites, their onboard instruments, data, case studies, products, proxy data that can be used and everything connected to the training topic. The meetings were mainly intended for trainers, but the recordings are available to anyone.
Topics from this meeting: MTG Training website, Case studies, Confluence, American training.
Meeting 3 February 2020 - 60 min
A collection of cases and colour interpretations derived from MTG proxy data from satellites such as GOES and Himawari.
Author(s): Marko Blaskovic
A developed convective system in Australia shows different cloud phases in a beautiful way, enabling the analysis of each part of the cloud using the Cloud Phase RGB product from the Himawari satellite.
Enter here.
A collection of cases and colour interpretations derived from MTG proxy data from satellites such as GOES and Himawari.
Author(s): Marko Blaskovic
A case describing the differences between the two surface features using the Cloud Phase RGB and the Cloud Type RGB.
Enter here.
Maria Putsay discusses convective clouds that form over wildfires, focusing on Pyrocumulonimbus clouds and their detection in satellite imagery.
Pyrocumulonimbus (pyro-Cb) clouds can form above wildfires. These are fire-aided or fire-caused convective clouds with considerable vertical development. Large amounts of smoke particles are injected into these clouds. The increased number of condensation nuclei causes extremely small ice crystals on the cloud tops. That is why the typical colors of these clouds vary in several RGBs. The cloud top color may help to identify pyro-Cb clouds, which might be dangerous by causing extreme low-level winds, and hence increasing fire spread.
Pedro Venâncio introduces the Portuguese Rural Fire Information System (SIFOR) and demonstrates how the GeoSIFOR WebGIS enables users to easily access, visualise and interpret available data.
SIFOR is an integrated application ecosystem designed to centralize and share technical information across Portugal’s Integrated Rural Fire Management System (SGIFR). Within this ecosystem, GeoSIFOR acts as a user-friendly Geographic Information Viewer (WebGIS) that allows users without specialized knowledge in GIS or remote sensing to easily leverage geographic and satellite data. Through its agile interface, non-expert users can access complex information, for instance, from the Copernicus Data Space Ecosystem (CDSE), Eumetsat, LSA-SAF, NASA, as well as satellite-derived products processed by other public entities such as DGT and IPMA.
Francesca Di Giuseppe discusses ECMWF fire prediction systems and the advantages of SPARKY, a new data-driven system for predicting fire activity and burned area.
Traditional fire danger indices estimate environmental conditions conducive to fire but do not directly predict when and where fires will occur. This presentation introduces a shift toward fire activity forecasting, using data-driven approaches that integrate weather, fuel conditions, and ignition sources. By leveraging machine learning and Earth observation data, these systems provide probabilistic forecasts of actual fire occurrence and spread. The approach improves early warning capabilities, reduces false alarms in fuel-limited regions, and offers actionable information for fire management, supporting more effective preparedness, response, and long-term risk mitigation strategies.
Ivan Smiljanić presents the evolution of RGB composites used for fire detection, with a final focus on the MTG Day Land Cloud Fire RGB composite and its advantages.
The Day Land Cloud/Fire RGB (full name) is a composite designed to enhance the detection of surface features and clouds, in addition to wildfires. Compared to other fire-focused composites, it provides a more balanced depiction of smoke, vegetation, and burn scars in a single product, though with reduced ability to discriminate fire intensity or even cloud phase. It renders active fires more vividly in red while preserving a near-natural background appearance. It is particularly effective for integrated situational awareness rather than specialized analysis.
Rita Durão explains the FRP's potential as an early smoke indicator and shows the connection with higher air pollutant emissions.
The intensity of a wildfire can be assessed by integrating fire radiative power (FRP) measurements over time. Since FRP is proportional to the amount of burned biomass, higher FRP values are associated with more severe fires, with higher smoke levels and, consequently, higher air pollutant emissions. Thus, the goal of this work is to assess FRP's potential as an early smoke indicator, leveraging the very high-resolution MTG data (10-minute temporal resolution). PMx and CO emitted during the August 2025 wildfires in Iberia are analyzed to illustrate the relationship between air pollutant levels and fire intensity over the affected areas.