Data underlying the publication: "Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR"
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).
- 2022-11-16 first online, published, posted
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
- 140,805,669 bytes md5 Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR.7z
- 6,740 bytes md5 README.txt
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