Dataset
ForestScan Project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) and Terrestrial Laser Scanning (TLS) data of FBRMS-01: Paracou, French Guiana plot 6, 10th October to 15th November 2019
Abstract
This dataset contains LiDAR scanning derived products (raw scanner data, geo-located point clouds, individual 3D tree models) collected over the north-eastern part (200 m x 200 m) of FBRMS-01: Paracou, French Guiana plot 6. The campaign took place from the 10th of October to the 15th of November 2019. Terrestrial LiDAR Scanning (TLS) was conducted on a regular grid with spacing of 10 m with a RIEGL VZ-400 scanner and retro-reflective targets for scan registration. Unpiloted Aerial Vehicle Laser Scanning (UAV-LS) was conducted with a RIEGL Ricopter with VUX-SYS VUX-1UAV system with varying flight heights and flight directions.
The TLS point clouds were collected to produce explicit 3D models of individual trees and subsequently estimate their above-ground biomass (AGB). The UAV-LS point clouds were collected to test scanner settings and inspect point clouds properties, in particular with regard to their suitability to model individual trees and their AGB.
The campaign was conducted by researchers Benjamin Brede, Harm Bartholomeus and Alvaro Lau of the Laboratory of Geo-Information Science and Remote Sensing of Wageningen University & Research (The Netherlands) with support from Nicolas Barbier of AMAP Lab (Botany and Modeling of Plant Architecture and Vegetation).
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): http://creativecommons.org/licenses/by/4.0/ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The UCL team provided revised metadata for the catalogue record |
| Data Quality: |
Data were validated by the Forestscan project team and provided to CEDA for archival.
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| File Format: |
Raw and Point cloud
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Related Documents
Process overview
Instrument/Platform pairings
| Riegl Minivux and Applanix20 | Deployed on: Matrice 600 Drone |
Independent Instruments
| WUR RIEGL VZ-400 Terrestrial Laser Scaner |
Computation Element: 1
| Title | TLS2trees: a semi-automated processing pipeline |
| Abstract | Plot-level point clouds were processed using TLS2trees which is a set of Python command line tools & designed to be horizontally scalable, e.g., on a High Performance Computing (HPC) facility. Pipeline steps: 1) Point cloud re-processing, 2) semantic segmentation into wood & leaf point classes, 3) instance segmentation into sets of point clouds representing individual trees, 4) Quantitative structural models (QSMs) of individual tree point clouds, & 5) Plot biophysical & AGB estimates. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
| Output Description | None |
No variables found.
Temporal Range
2019-10-10T00:00:00
2019-11-15T00:00:00
Geographic Extent
5.2804° |
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-52.9212° |
-52.0326° |
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5.2628° |