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Dataset

 

ForestScan: Terrestrial Laser Scanning (TLS) of Gabon 1ha plot OKO-01

Update Frequency: Not Planned
Latest Data Update: 2023-07-25
Status: Pending
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

Terrestrial laser scanning was conducted from June to July 2022 by Cecilia Chavana-Bryant & Phil Wilkes using a Reigl VZ-400i for the ForestScan project. Scans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce a high-quality point cloud of this 1ha (100 x 100m) forest plot in Gabon. Capturing a complete sample of the scene at each location requires two scans (an upright & a 90° tilt scan), owing to a 100° field of view. Upright scans will be odd numbered while tilt scans will be even numbered. The first scan on a plot is collected on its SW corner (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently) with the tilt scan oriented towards the next sampling position & tilt scans along the edges of plots oriented towards the inside of the plot while all other tilt scans are oriented towards the previously scanned line. A total of 242 scans were collected per 1ha plot.

Citable as:  [ PROVISIONAL ] University College London; Chavana-Bryant, C.; Wilkes, P. (9999): ForestScan: Terrestrial Laser Scanning (TLS) of Gabon 1ha plot OKO-01. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/b37108845d2749949727f9cc84b90638/
Abbreviation: Not defined
Keywords: ForestScan, TLS, Gabon, OKO-01

Details

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Data lineage:

To generate a plot-level point cloud, all 242 scans were registered using RiSCAN Pro version 2.14.1 software. Scans were coarse registered via GNSS enabled Auto-Registration 2 (AR2), coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2), and finally, the Sensor's Orientation and Position (SOP) matrix for all scans saved into the "matrix" project directory and the GNSS coordinates (geographical coordinate system: WGS84 Cartesian) for all scans saved as a .kmz file.

File Format:
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Related Documents

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Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

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.

Coverage
Temporal Range
Start time:
2022-06-04T00:00:00
End time:
2022-06-09T00:00:00
Geographic Extent

 
-0.1945°
 
11.5833°
 
11.5834°
 
-0.1958°