Modelling tree biomass using direct and additive methods with point cloud deep learning in a temperate mixed forest

Modelling tree biomass using direct and additive methods with point cloud deep learning in a temperate mixed forest

Airborne laser scanning (ALS) data has been widely used for total aboveground tree biomass (AGB) modelling, however, there is less research focusing on estimating specific tree biomass components (wood, branches, bark, and foliage). Knowledge about these biomass components is essential for carbon ac...

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Bibliographic Details
Main Authors: Harry Seely, Nicholas C. Coops, Joanne C. White, David Montwé, Lukas Winiwarter, Ahmed Ragab
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Science of Remote Sensing
Subjects:
Deep neural network (DNN)
Airborne laser scanning (ALS)
Tree component biomass
DGCNN
Octree-CNN (OCNN)
Model comparison
Online Access:http://www.sciencedirect.com/science/article/pii/S2666017223000354

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http://www.sciencedirect.com/science/article/pii/S2666017223000354

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