Evaluating simulated vegetation variables using solar-induced fluorescence observations from Sentinel-5P
SURFEX LDAS-MONDE leaf area index (LAI) data products are evaluated using independent observations from the Tropospheric Monitoring Instrument (TROPOMI)
Developing the SEEDS data viewer, interview to Pau Moreno
Pau Moreno works as a software engineer at Lobelia, an SME based in Barcelona specialised in satellite technology, computational intelligence and data visualisation for climate action. His role in this project is to implement and deploy the SEEDS website, and to build a harmonised repository of all the datasets produced within the scope of this project.
Final general assembly of the SEEDS consortium
The 3rd and Final General Assembly on earth observation products from the SEEDS project is coming up!
Top-down approach: a comprehensive overview
Understand the top-down approach with our comprehensive factsheet
Trees in the city and natural emissions of VOCs Exploring Tree Emissions of Volatile Organic Compounds (VOCs), interview to Dr. Glenn-Michael Oomen
VOCs are produced by human activities, but also by trees. They can lead to the formation of polluting gases. Understanding and studying VOC emissions and fluxes is paramount for developing effective strategies to reduce and handle pollution.
Inverse algorithms - monitoring pollutant emissions from satellites, interview to Dr. Ronald van der A
The mitigation measure pledges taken across Europe are vital to comply with the Paris agreements. Monitoring greenhouse gases emissions is the only way to know whether these pledges are being respected. Inverse algorithms are a powerful tool in the complex study of these emissions.
Deriving fire emissions from space, interview to Dr. Jenny Stavrakou
The heavy pollution situation in major cities in Northern America last week brought to public attention the importance and scope of wildfires. Their impact is increasing with climate change, and we need to adapt quickly. Mitigation and adaptation strategies need to be put in place at different levels. Common to all these is the need for timely and accurate monitoring of fire emissions and their evolution. Monitoring of wildfire emissions with the help of satellite data requires complex inverse modelling techniques to develop what are generally known as "top-down" estimates and are currently seen as a powerful monitoring approach.
Start of the EU CAMEO project (CAMS EvOlution): providing better atmospheric environmental information
The CAMS Service Evolution (CAMEO) project started on the first of January 2023.
NOx and NH3 emissions derived from satellite observations
Nitrogen emissions can be estimated using satellite observations and modelling