Date (Publication)

2025-10-13T07:24:56

Date (Creation)

2025-10-13T07:24:56

Identifier

https://catalogue.ceda.ac.uk/uuid/a79fcb9ab0c443fc86d453cc064759b1

Identifier

NERC EDS Centre for Environmental Data Analysis / a79fcb9ab0c443fc86d453cc064759b1

Identifier

doi / 10.5285/a79fcb9ab0c443fc86d453cc064759b1

Maintenance and update frequency

notPlanned Not planned

Update scope

dataset Dataset

Keywords

• ForestScan project
• GEO-TREES
• BIOMASS mission
• European Space Agency (ESA)
• Earth Observation (EO) calibration/validation
• Terrestrial LiDAR Scanning (TLS)
• Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS)
• Aerial LiDAR Scanning (ALS)
• Digital twins
• Above Ground Biomass (AGB) estimates
• Carbon estimates
• Forest structure
• Tree segmentation
• 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

Begin date

2022-06-01T00:00:00

End date

2022-06-12T18:33:05

Unique resource identifier

WGS 84

Distribution format

• .laz files, the LAZ (LASzip) file format is a compressed version of the LAS (LIDAR Aerial Survey) ()

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

Statement

Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Revised metadata was also provided by the project team. This dataset was reprocessed by Iain McNichol from an older version in order to correct the UTM metadata information in all files and to replace a corrupted file.

File identifier

a79fcb9ab0c443fc86d453cc064759b1 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

2025-12-17T03:26:02

Metadata standard name

UK GEMINI

Metadata standard version

2.3