The Forest Carbon Monitoring project team participated the Finnish Satellite Workshop and Remote Sensing Days 2021 (https://spaceworkshop.fi/index.html), which was organized as a virtual event 23-24 August 2021. It is the largest New Space meeting in Northern Europe with nearly 500 people participating this year, from all over the world. The meeting brought together space technology specialists, scientists and EO users to discuss current topics in a rapidly developing space field.
The VTT Technical Research Centre of Finland, who is coordinating the Forest Carbon Monitoring project, presented the project in the ‘Biodiversity and Climate’-session on the second day of the workshop. The presentation gave an overview of the newly launched project, highlighting the main objectives, activities and timeline. The presentation was well received and the participants showed interest in following the progress of the project in the coming two years.
In addition to providing a good stage for distributing the information of the Forest Carbon Monitoring project, the event gave a great opportunity for the project team to hear about the latest developments in both the satellite hardware as well as the satellite data application. The project team will continue to provide updates and present results of the project in the future Finnish Satellite Workshops and other events.
Project aim
Forest Carbon Monitoring project well represented in the ESA Living Planet Symposium 2022
The Forest Carbon Monitoring project is well represented in the ESA Living Planet Symposium 2022 taking place this week in Bonn, Germany.
Main datasets ready for continental demonstration
The Forest Carbon Monitoring project is gearing up towards the demonstration phase. For the past two months, massive Sentinel-1 and Sentinel-2 pre-processing tasks have been run on the Forestry TEP online platform.
The first forest structure variable estimation test results are emerging
We have reached another exciting phase in the Forest Carbon Monitoring project. We have the first results of the estimation of variables like basal area, diameter, height and growing stock volume, as well as species identification and site type classification.