TY - DATA T1 - Data underlying the publication: "Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR" PY - 2022/11/16 AU - Jose Gonzales de Tanago Menaca AU - Alvaro Lau Sarmiento AU - Harm Bartholomeus AU - Martin Herold AU - Valerio Avitabile AU - Pasi Raumonen AU - Christopher Martius AU - Rosa C. Goodman AU - Mathias Disney AU - Solichin Manuri UR - https://data.4tu.nl/articles/dataset/Data_underlying_the_publication_Estimation_of_above_ground_biomass_of_large_tropical_trees_with_terrestrial_LiDAR_/21552084/1 DO - 10.4121/21552084.v1 KW - above-ground biomass KW - allometric models KW - LiDAR KW - terrestrial laser scanning KW - tree volume KW - tropical trees KW - 3D modelling N2 -

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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