• NERC Data Catalogue Service
  •  
  •  
  •  

ForestScan: Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot IRD-CNES, October 2021

Terrestrial laser scanning (TLS) was conducted in October 2021 by G. Vincent and J-L Smock (IRD) using a Riegl VZ-400. Scans were acquired at locations on a 10 m Cartesian grid. Capturing a complete sample of the scene at each location requires two scans (upright and tilted), owing to a 100° field of view. 249 scans in total were collected. The angular resolution between sequentially fired pulses was 0.04°, resulting in approximately 22.4 million emitted pulses per scan (i.e., 5.42 billion per ha). Up to four targets can be resolved per pulse, with a nominal ranging accuracy of 5 mm. The laser itself is characterised by a beam divergence of 0.35 mrad, and the diameter of the beam at emission is 7 mm (e.g., the diameter of the beam at a range of 50 m, would be 21 mm). The pulse repetition rate was 300 kHz, therefore, each scan took approximately 3 minutes to complete. To generate a plot-level point cloud from individual scans, all scans were co-registered and projected to a standard geographical coordinate system (epsg 2972). To this end, 5 identifiable targets with known X,Y,Z coordinates (plot corners + plot centre) were positioned using a total station.

Once co-registered using RiScanPro software, individual scans were exported in las extrabyte format (including deviation) using LidarFomartConverter v.1.2.(AMAP code based on RivLib). Reflectance range was set to -30dB to +5dB and stored in the Intensity field as a long integer. Echoes outside this reflectance range were discarded. Coordinate precisions were set to 0.001 m. The full point cloud (all 249 scans) was then cropped to 1.4 ha plot (+10m buffer around 100x100m plot), and tiled per 20 x 20m (no buffer). Cropping and tiling were done with LAStools software. Scan position number was stored as flight line to allow selection of scans if needed. In particular, distant scans which contribute little more than noise could be deleted. LiDAR data were acquired without the “reflectance optimization filter”. In order to keep only returns with reflectance above -20dB (equivalent to setting reflectance optimization filter) all returns with Intensity below 18724 were dropped.

Simple

Date (Publication)
2025-03-28T15:05:15
Date (Creation)
2025-03-28T15:05:15
Identifier
https://catalogue.ceda.ac.uk/uuid/b1cd34f6af7941a3b1429ac52a3f6b28
Identifier
NERC EDS Centre for Environmental Data Analysis / b1cd34f6af7941a3b1429ac52a3f6b28
Identifier
doi / 10.5285/b1cd34f6af7941a3b1429ac52a3f6b28
Author
  Unavailable - Vincent, Grégoire ( author )
Author
  Unavailable - Villard, Ludovic ( author )
Custodian
  NERC EDS Centre for Environmental Data Analysis - custodian
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Distributor
  NERC EDS Centre for Environmental Data Analysis - distributor
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Principal investigator
  Unavailable - Disney, Mathias ( principal_investigator )
Principal investigator
  Unavailable - Villard, Ludovic ( principal_investigator )
pointofContact
  NERC EDS Centre for Environmental Data Analysis - point_of_contact
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Publisher
  NERC EDS Centre for Environmental Data Analysis - publisher
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Maintenance and update frequency
unknown Unknown
Update scope
dataset Dataset
Keywords
  • ForestScan project
  • GEO-TREES
  • BIOMASS mission
  • European Space Agency (ESA)
  • Earth Observation (EO) calibration/validation
  • Terrestrial LiDAR Scanning (TLS)
  • Digital twins
  • Forest structure
  • 3D tree structure
GEMET - INSPIRE themes, version 1.0
  • orthoimagery
Access constraints
otherRestrictions Other restrictions
Other constraints
Public data: access to these data is available to both registered and non-registered users.
Use constraints
otherRestrictions Other restrictions
Other constraints
Under the following licence http://creativecommons.org/licenses/by/4.0/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Spatial representation type
grid Grid
Metadata language
EnglishEnglish
Topic category
  • Imagery base maps earth cover
N
S
E
W
thumbnail


Begin date
2021-10-19T00:00:00
End date
2021-10-29T00:00:00
Unique resource identifier
WGS 84
Distribution format
  • .laz files ()

Distributor
  NERC EDS Centre for Environmental Data Analysis - Data Center Contact
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
OnLine resource
CEDA Data Catalogue Page

Detail and access information for the resource

OnLine resource
DOWNLOAD

Download Data

OnLine resource
Chavana-Bryant, C., Wilkes, P., Yang, W., Burt, A., Vines, P., Bennett, A.C., Pickavance, G., Cooper, D.L.M., Lewis, S.L., Phillips, O.L., Brede, B., Lau, A., Herold, M., McNicol, I.M., Mitchard, E.T.A., Barbier, N., Vincent, G., Coomes, D.A., Jackson, T., Makaga, L., Milamizokou Napo, H.O., Ngomanda, A., Ntie, S., Medjibe, V., Dimbonda, P., Soenens, L., Daelemans, V., Bartholomeus, H., Majalap, N., Nilus, R., Labrière, N., Burslem, D.F.R.P., Qie, L., Derroire, G., Proux, L., Abernethy, K., Jeffery, K., Clewley, D., Moffat, D., Scipal, K. and Disney, M. ForestScan: a unique multiscale dataset of tropical forest structure across 3 continents including terrestrial, UAV and airborne LiDAR and in-situ forest census data. ESSD. 2025

No further details.

Hierarchy level
dataset Dataset

Conformance result

Date (Publication)
2010-12-08
Statement
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by Gregoire Vincent. The UCL project team provided revised metadata for the catalogue record
File identifier
b1cd34f6af7941a3b1429ac52a3f6b28 XML
Metadata language
EnglishEnglish
Character set
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8
Parent identifier
ForestScan Collection 88a8620229014e0ebacf0606b302112d
Hierarchy level
dataset Dataset
Date stamp
2025-11-15T03:25:49
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Centre for Environmental Data Analysis
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
orthoimagery

Provided by

logo

Share on social sites

Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


  •  
  •  
  •