%0 Generic %A Gonzales de Tanago Menaca, Jose %A Lau Sarmiento, Alvaro %A Bartholomeus, Harm %A Herold, Martin %A Avitabile, Valerio %A Raumonen, Pasi %A Martius, Christopher %A Goodman, Rosa C. %A Disney, Mathias %A Manuri, Solichin %D 2022 %T Data underlying the publication: "Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR" %U https://data.4tu.nl/articles/dataset/Data_underlying_the_publication_Estimation_of_above_ground_biomass_of_large_tropical_trees_with_terrestrial_LiDAR_/21552084/1 %R 10.4121/21552084.v1 %K above-ground biomass %K allometric models %K LiDAR %K terrestrial laser scanning %K tree volume %K tropical trees %K 3D modelling %X

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).

%I 4TU.ResearchData