We have good news! It was recently agreed that the Forest Carbon Monitoring project will conduct an additional demonstration in Austria, thereby including the Alpine environments into our already versatile selection of environmental conditions within our demonstration areas.
Carbon Monitoring
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Last week, the Forest Carbon Monitoring team participated in the 4th Carbon from Space Workshop, which brought together the Earth observation, in situ and Earth system science communities to interact and discuss the challenges in understanding the carbon cycle, focusing particularly on the terrestrial component.
A recently published paper on semisupervised UNet deep learning for forest height mapping provides ideas and understanding for potential future development directions of the carbon monitoring platform.
As promised two weeks ago, the ‘Platform’-page of our website has now been updated with information on the methods and datasets to be used in the platform prototype demonstrations. Have a look at the updated page to get a better idea on what kind of methods and datasets will be used and what kind of prototype products can be expected from the demonstrations.
During the past six months we have been busy running hundreds of tests with different Earth observation (EO) data combinations and prediction algorithms in the seven testing sites in Europe and Peru. These tests were conducted to allow selection of optimal EO data and method combinations for the demonstrations to be implemented during the second year of the project.
The Forest Carbon Monitoring project is well represented in the ESA Living Planet Symposium 2022 taking place this week in Bonn, Germany.
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.
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.
The findings of a recently concluded H2020 Forest Flux Innovation Action project will directly benefit our ongoing Forest Carbon Monitoring project.
