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
FCM k Nearest Neighbour approach used in a new journal article
Last autumn, we had a visiting scientist from the University of Oviedo staying here at VTT. This gave us a great opportunity to test some of the FCM tools in his study areas in northern Spain, and thereby provided valuable information on the applicability of the methods in new areas.
UNet deep learning method is starting to show its potential
One of the main objectives of the continuation phase of the FCM project is to include a deep learning method in the tool portfolio. Based on earlier experiences, the UNet model family approaches were selected. A vanilla UNet model as well as a more advanced SeUNet model with a squeeze-excitation […]
New journal paper describing the data assimilation approach to be used in the Norway demonstration
EO data products are sensitive to variations caused by atmospheric or seasonal effects, sometimes significantly affecting forest variable predictions. When used repeatedly in the same area to monitor the development of forest resources these effects can cause inconsistencies in the time series. The Data Assimilation (DA) approach to be demonstrated […]