Research output per year
Research output per year
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).
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 available | 16 Nov 2022 |
|---|---|
| Publisher | Wageningen University & Research |
| Temporal coverage | 2013 - 2014 |
| Date of data production | 2013 - 2014 |
| Geographical coverage | Guyana dataset: 6.04 lat −58.70 long ||| Indonesia dataset: −2.41 lat 113.13 long ||| Peruvian dataset: −12.27 lat −69.10 long |
Keywords
- above-ground biomass
- allometric models
- LiDAR
- terrestrial laser scanning
- tree volume
- tropical trees
- 3D modelling
Research output
- 1 Article
-
Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR
Gonzalez De Tanago, J., Lau, A., Bartholomeus, H., Herold, M., Avitabile, V., Raumonen, P., Martius, C., Goodman, R. C., Disney, M., Manuri, S., Burt, A. & Calders, K., 13 Feb 2018, In: Methods in Ecology and Evolution. 9, 2, p. 223-234Research output: Contribution to journal › Article › Academic › peer-review
Open Access205 Citations (Scopus)