Land
Martin Wooster talks about fire detection and FRP (Fire Radiative Power) product.
Martin Wooster talks about fire detection and FRP (Fire Radiative Power) product.
Lecture slides
Andrea Meraner talks about wildfire detection and vizualisation by using FCI data.
The Flexible Combined Imager (FCI) instrument on-board the Meteosat Third Generation (MTG) satellite introduces unprecedented detection capabilities for wildfires from geostationary orbit. This presentation offers an overview of the instrument, focusing on characteristics relevant for identifying hotspots. We will then present the first case studies of wildfire and smoke observations across Europe and Africa. These examples are based on preliminary commissioning data collected during the extreme events of Summer 2023. We will explore visualisations utilising RGBs such as Fire Temperature and True Colour, leveraging the new FCI channels.
Lecture slides
Johan Strandgren talks about the FCI True Colour Imagery.
The Flexible Combined Imager (FCI) on-board MTG-i1 introduces a unique capability: generating geostationary true colour imagery over Europe and Africa. This is typically achieved by combining data from three channels centred at red, green and blue wavelengths. However, FCI's green channel (0.51 microns) partially misses the spectral reflectance peak of chlorophyll around 0.55 microns, leading to inaccurate depiction of vegetation and barren surfaces. To address this limitation, a novel green band correction technique using the normalized difference vegetation index has been developed and utilized for the first release of true colour images from FCI. The new FCI true colour composite is also the corner stone for the ongoing development of the FCI GeoColor RGB composite. This composite incorporates the elements from the ABI GeoColor composite, by blending true colour imagery with night-time infrared imagery and city lights, as well as other relevant features such as wildfires and LI lightning events.
Lecture slides
Learn how to detect areas covered with snow, ice or cloudy areas.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to recognize areas of flooding.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to recognize burnt areas.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to identify hotspots.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to identify areas of drought and heatwaves.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to identify vegetation free areas as well as how to identify different types of desert surface such as sand or desert pavement.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to distinguish between natural and human modified areas.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to discriminate between land and areas of water like oceans, seas, lakes, rivers or inlets.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Tiago Ermitão covers practical application of studying impacts of heatwaves and droughts on the carbon cycle, namely vegetation productivity losses.
Droughts and heatwaves have become more frequent and severe over the last years as a consequence of climate change. These events result in water stress conditions to vegetation, affecting photosynthesis and respiration from plant to ecosystem scales, impacting the net carbon balance of ecosystems. This lecture will provide insights on the impacts of climate extreme events on vegetation function and the carbon cycle, showcasing examples on how these impacts can be detected using remote sensing products how Earth System and other models can be used to project future impacts of extreme events on the Carbon cycle.