Land

Description

Learn how to detect areas covered with snow, ice or cloudy areas.

Content

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.

Description

Learn how to recognize areas of flooding.

 

Content

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.

Description

Learn how to recognize burnt areas.

Content

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.

Description

Learn how to identify hotspots.

Content

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.

Description

Learn how to identify areas of drought and heatwaves.

Content

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.

Description

Learn how to identify vegetation free areas as well as how to identify different types of desert surface such as sand or desert pavement.

Content

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.

Description

Learn how to distinguish between natural and human modified areas.

Content

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.

Description

Learn how to discriminate between land and areas of water like oceans, seas, lakes, rivers or inlets. 

Content

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.

Competency Framework
WMO Satellite Skills
Application
Description

Tiago Ermitão covers practical application of studying impacts of heatwaves and droughts on the carbon cycle, namely vegetation productivity losses.

Content

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.

 

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Lecture slides

Competency Framework
WMO Satellite Skills
Application
Description

Ana Bastos presents about extreme climate event impact on carbon cycle and vegetation. 

Content

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.

 

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Lecture slides

Description

Ana Russo and Rita Durão talk about heatwave impact on air quality, pollutants and evaluation of air quality. 

Content

Heatwaves often lead to low air quality levels. Very high to extreme temperatures combined with stagnant air conditions increase air pollutants concentrations, such as tropospheric ozone. This effect might be emphasized when drought conditions also occur, which contributes to increasing fire danger and decreasing air quality levels too. Air pollution impacts on health are consequently an important issue, together with the drawbacks on ecosystems. This lecture will provide insights into the detection, monitoring, and evaluation of air quality impacts, using among others, remote sensing products.

 

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Lecture slides Rita Durão

Lecture slides Ana Russo

Description

Bostjan Muri talks about using LSA SAF data and vegetation anomalies for drought monitoring.

Content

In this presentation, we explore numerous real world applications of the use of LSA SAF data. Our focus is identifying heatwaves and droughts based on satellite data. Vegetation anomalies can be particularly helpful for drought monitoring. These show cases are selected in order to highlight the benefits of specific applications using LSA SAF data and its added-value when compared with other existing sources of observations (either satellite or meteorological stations) as well as model output.

 

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Lecture slides