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

doi: 10.4121/21552084.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21552084
Datacite citation style:
Jose Gonzales de Tanago Menaca; Alvaro Lau Sarmiento; Harm Bartholomeus; Martin Herold; Valerio Avitabile et. al. (2022): Data underlying the publication: "Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21552084.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Wageningen University and Research logo
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categories
geolocation
Guyana 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
time coverage
Guyana dataset: November 2014 Indonesia dataset: August 2014 Peruvian dataset: November 2013
licence
cc-by.png logo CC BY 4.0

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).

history
  • 2022-11-16 first online, published, posted
publisher
4TU.ResearchData
format
txt csv
organizations
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, The Netherlands

Center for International Forestry Research (CIFOR), Bogor, Indonesia

Laboratory of Mathematics, Tampere University of Technology, Tampere, Finland

Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Umeå, Sweden

Department of Geography, University College London, London, UK

NERC National Centre for Earth Observation (NCEO), Leicester, UK

Fenner School of Environment and Society, Australian National University, Canberra, ACT, Australia

Earth Observation, Climate and Optical group, National Physical Laboratory, Teddington, UK

DATA

files (2)