Data underlying the publication: "Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR"

Description

This dataset contains data underlying the publication: "Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR" and consists of the following data folders: 1_ReferenceMeasurementData (Destructive sampling tree AGB data): Destructive sampling measurement data of 29 large tropical trees from 3 sites (Indonesia, Peru and Guyana) for estimating tree wood volume and tree AGB. 2_AllometricEqInventoryData (Forest inventory data): Forest inventory data of 29 individual large tropical trees from 3 sites (Indonesia, Peru and Guyana) for estimating tree AGB with allometric equations. 3_QsmCylinderData (Quantitative Structure Models): Quantitative Structural Models (QSM) cylinder model outputs (3D tree architecture models), generated from the individual TLS point cloud data of 29 large tropical trees from 3 sites (Indonesia, Peru and Guyana). 4_LidarTreePoinCloudData (TLS tree point cloud data): TLS point cloud data for 29 large tropical trees in 3 study sites: Indonesia (peat swamp forest in Central Kalimantan, Borneo), Peru (lowland tropical moist forest in Madre de Dios) and Guyana (lowland tropical moist forest in Cayuni-Mazaruni).
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Year of publication

2022

Type of data

Authors

4TU.ResearchData - Publisher

Pasi Raumonen - Creator

Unknown organization

Andrew Burt - Creator

Christopher Martius - Creator

Harm Bartholomeus - Creator

Jose Gonzalez de Tanago - Creator

Kim Calders - Creator

Martin Herold - Creator

Mathias Disney - Creator

Rosa C. Goodman - Creator

Solichin Manuri - Creator

Valerio Avitabile - Creator

Alvaro Lau - Contributor

Project

Other information

Fields of science

Mathematics

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Mathematics

Subject headings

Temporal coverage

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