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 cotains 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)
- 2025-01-20T13:17:37
- Date (Creation)
- 2025-01-20T13:17:37
- Identifier
- NERC EDS Centre for Environmental Data Analysis / 88a8620229014e0ebacf0606b302112d
- Identifier
- doi / 10.5285/88a8620229014e0ebacf0606b302112d
- Maintenance and update frequency
- Unknown
- Update scope
- Series
- Keywords
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- ForestScan
- GEO-TREES
- BIOMASS mission
- ESA
- ABG estimates
- TLS
- UAV-LS
- ALS
- Tropical forests
- Field protocols
- GEMET - INSPIRE themes, version 1.0
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- 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
- Spatial representation type
- Grid
- Metadata language
- English
- Topic category
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- Climatology, meteorology, atmosphere
- Begin date
- 2017-03-01T00:00:00
- End date
- 2020-02-20T00:00:00
- Unique resource identifier
- WGS 84
- Distribution format
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Contact data centre for format details.
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Contact data centre for format details.
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- OnLine resource
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CEDA Data Catalogue Page
Detail and access information for the resource
- OnLine resource
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FORESTSCAN Project
No further details.
- Hierarchy level
- Series
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Please see data lineage statements for each dataset within this collection for data lineage details.
- File identifier
- 88a8620229014e0ebacf0606b302112d XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Series
- Hierarchy level name
- series
- Date stamp
- 2025-01-30T01:07:59
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3