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

  • J. Gonzalez de Tanago Menaca (Creator)
  • Alvaro Lau (Contributor)
  • Harm M. Bartholomeus (Creator)
  • Martin Herold (Creator)
  • Valerio Avitabile (Creator)
  • Pasi Raumonen (Creator)
  • Christopher Martius (Creator)
  • R. C. Goodman (Creator)
  • Mathias I. Disney (Creator)
  • Solichin Manuri (Creator)
  • Andrew Burt (Creator)
  • Kim Calders (Creator)

Dataset

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).
Date made available16 Nov 2022
Geographical coverageGuyana dataset: 6.04 lat −58.70 long ||| Indonesia dataset: −2.41 lat 113.13 long ||| Peruvian dataset: −12.27 lat −69.10 long ||| For more details, please refer to Table 1 of main document

Field of science, Statistics Finland

  • 111 Mathematics

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