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
- NERC EDS Centre for Environmental Data Analysis / b1cd34f6af7941a3b1429ac52a3f6b28
- Identifier
- doi / 10.5285/b1cd34f6af7941a3b1429ac52a3f6b28
- Maintenance and update frequency
- unknown Unknown
- Update scope
- dataset Dataset
- Keywords
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- 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
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- 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
- Spatial representation type
- grid Grid
- Metadata language
- EnglishEnglish
- Topic category
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- Imagery base maps earth cover
- Begin date
- 2021-10-19T00:00:00
- End date
- 2021-10-29T00:00:00
- Unique resource identifier
- WGS 84
- Distribution format
-
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.laz files
()
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.laz files
()
- OnLine resource
-
CEDA Data Catalogue Page
Detail and access information for the resource
- OnLine resource
-
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- 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
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