ForestScan Collection

This collection is part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates. The collection contains a multiscale dataset of tropical forest 3D structural measurements, including terrestrial laser scanning (TLS), unoccupied aerial vehicle LiDAR scanning (UAV-LS), airborne laser scanning (ALS), and in-situ tree census and ancillary data. ForestScan was conceived to evaluate new technologies for characterising forest structure and biomass at Forest Biomass Reference Measurement Sites (FBRMS). These data are critical for the calibration and validation of earth observation (EO) estimates of forest biomass, as well as providing broader insights into tropical forest structure.



Data are presented for the first three Forest Biomass Research Monitoring Sites in Paracou Research Station in French Guiana; Station d'Etudes des Gorilles et Chimpanzes, Lopé National Park in Gabon; and Kabili-Sepilok Forest Reserve, Malaysia. Field data for each site include new 3D LiDAR measurements combined with plot tree census and ancillary data, unmanned aerial vehicle-based laser scanning (UAV-LS) and airborne laser scanning (ALS) where possible, at a multi-hectare scale. Not all data types were collected at all sites, reflecting the practical challenges of field data collection.



We also provide detailed field data collection protocols for TLS, UAV-LS, and ALS measurements for each site, along with requirements for ancillary data to enable integration with ALS data (where possible) and upscaling to EO estimates.



The ForestScan project is closely aligned with other international initiatives, particularly the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration & Validation (WGCV) AGB cal/val protocols, and GEO-TREES, a new Group on Earth Observations (GEO) initiative aimed at establishing a network of FBRM sites. ForestScan is the first demonstration of what could be achieved more broadly under GEO-TREES, which would significantly expand and enhance the use of EO-derived AGB estimates

Simple

Date (Publication)
2025-02-20T12:01:20
Date (Creation)
2025-02-20T12:01:20
Citation identifier
https://catalogue.ceda.ac.uk/uuid/88a8620229014e0ebacf0606b302112d
Citation identifier
NERC EDS Centre for Environmental Data Analysis / 88a8620229014e0ebacf0606b302112d
Citation identifier
doi / 10.5285/88a8620229014e0ebacf0606b302112d
Point of contact
Organisation name Individual name Electronic mail address Role

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Chavana-Bryant, Cecilia

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Wilkes, Phil

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Yang, Wanxin

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Burt, Andrew

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Vines, Peter

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Bennett, Amy C.

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Pickavance, Georgia C.

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Cooper, Declan L.M.

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Lewis, Simon L.

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Phillips, Oliver L.

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Brede, Benjamin

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Lau, Alvaro

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Herold, Martin

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McNicol, Iain M.

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Mitchard, Edward T.A.

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Coombes, David

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Jackson, Toby D.

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Makaga, Löic

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Milamizokou Napo, H O

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Ngomanda, Alfred

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Ntie, Stephan

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Medjibe, Vincent

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Dimbonda, Pacôme

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Soenens, Luna

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Daelemans, Virginie

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Proux, Letitia

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Nilus, Reuben

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Labrière, Nicolas

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Jeffery, Kathryn

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Burslem, David F.R.P.

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Clewley, Daniel

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Moffat, David

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Qie, Lan

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Bartholomeus, Harm

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Vincent, Grégoire

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Barbier, Nicolas

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Derroire, Géraldine

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Abernethy, Kate

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Scipal, Klaus

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Disney, Mathias

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NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Custodian

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Distributor

Unavailable

Disney, Mathias

Unavailable

 		Principal investigator

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

pointofContact

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Publisher
Maintenance and update frequency
Unknown
Update scope
Series
Keywords

  • ForestScan

  • GEO-TREES

  • BIOMASS mission

  • ESA

  • AGB estimates

  • TLS

  • UAV-LS

  • ALS

  • Tropical forests

  • Field protocols

GEMET - INSPIRE themes, version 1.0

  • atmospheric conditions
Access constraints
Other restrictions
Other constraints
Please contact the data centre for assistance on accessing data from this dataset collection.
Use constraints
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.
Other constraints
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, 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
Language
English
Topic category
  • Climatology, meteorology, atmosphere
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Begin date
2017-03-02T00:00:00
End date
2022-11-24T00:00:00
Unique resource identifier
WGS 84
Distribution format
Name Version

Contact data centre for format details.
Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceda.ac.uk/uuid/88a8620229014e0ebacf0606b302112d

CEDA Data Catalogue Page
OnLine resource
Protocol Linkage Name
https://eo4society.esa.int/projects/forestscan/

FORESTSCAN Project
Hierarchy level
Series

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

Please see data lineage statements for each dataset within this collection for data lineage details.

Metadata

File identifier
88a8620229014e0ebacf0606b302112d XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name

series
Date stamp
2025-07-15T02:27:57
Metadata standard name
UK GEMINI
Metadata standard version

2.3
Metadata author
Organisation name Individual name Electronic mail address Role

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

atmospheric conditions


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