Difference between revisions of "Above-ground biomass estimation in Finland"

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The dataset is a georeferenced subset of the [https://nascetti-a.github.io/BioMasster/ BioMassters dataset], containing 11,043 patches representing AGBM in Finnish forests from 2017 to 2021. Ground-truth measurements are obtained with airborne LiDAR.  
 
The dataset is a georeferenced subset of the [https://nascetti-a.github.io/BioMasster/ BioMassters dataset], containing 11,043 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 2,354 testing patches.
 
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 2,354 testing patches.
  
[[File:Biomassters_locations.png|frameless|210px|baseline|Spatial distribution]]
 
 
[[File:Agbm_distributions.png|thumb|center|400px|Histograms of the AGBM values in train and test data. The area of each histogram is normalized to sum up to one.]]
 
  
<gallery widths="220" heights="220">
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<div style="text-align: center;">
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<gallery widths="250" heights="250">
 
File:Biomassters_locations.png|Patch locations
 
File:Biomassters_locations.png|Patch locations
 
File:Agbm_distributions.png|AGBM distribution
 
File:Agbm_distributions.png|AGBM distribution
 
</gallery>
 
</gallery>
 +
</div>

Revision as of 20:31, 26 May 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 11,043 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 2,354 testing patches.