Difference between revisions of "Above-ground biomass estimation in Finland"
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==Dataset== | ==Dataset== | ||
| − | The dataset is a georeferenced subset of the [https://nascetti-a.github.io/BioMasster/ BioMassters dataset], containing 11, | + | The dataset is a georeferenced subset of the [https://nascetti-a.github.io/BioMasster/ BioMassters dataset], containing 11,462 patches representing AGBM in Finnish forests from 2017 to 2021. Ground-truth measurements are obtained with airborne LiDAR. |
| − | Each patch consists of 256×256 pixels, with each pixel covering a 10×10 meter area. The dataset is split into 8,689 training patches and 2, | + | Each patch consists of 256×256 pixels, with each pixel covering a 10×10 meter area. The dataset is split into 8,689 training patches and 2,773 testing patches. |
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<gallery widths="250" heights="250"> | <gallery widths="250" heights="250"> | ||
File:Biomassters_locations.png|Patch locations by year of data collection | File:Biomassters_locations.png|Patch locations by year of data collection | ||
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</gallery> | </gallery> | ||
</div> | </div> | ||
Revision as of 12:52, 28 October 2025
Objective
This subproject evaluates the performance of Tessera representation maps in above-ground biomass (AGBM) estimation in Finnish forests. Accurate AGBM estimation is essential for assessing the carbon sequestration capacity of forests and tracking changes caused by deforestation and recovery.
Dataset
The dataset is a georeferenced subset of the BioMassters dataset, containing 11,462 patches representing AGBM in Finnish forests from 2017 to 2021. Ground-truth measurements are obtained with airborne LiDAR.
Each patch consists of 256×256 pixels, with each pixel covering a 10×10 meter area. The dataset is split into 8,689 training patches and 2,773 testing patches.
Patch locations by year of data collection
