Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-B), August 2017
This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times.
The Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .
The project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.
Simple
- Date (Publication)
- 2025-06-19T11:55:50
- Date (Creation)
- 2025-06-19T11:55:50
- Identifier
- Centre for Environmental Data Analysis (CEDA) / 82f7734afb3845a8ba5176ed5b1273dc
- Maintenance and update frequency
- unknown Unknown
- Update scope
- dataset Dataset
- Keywords
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- Terrestrial Laser Scanner
- Harvard Forest
- Hardwood
- 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
- 2017-08-14T00:00:00
- End date
- 2017-08-15T00:00:00
- Unique resource identifier
- WGS 84
- Distribution format
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The scan folder contains a number of open and proprietary formats file formats CSV, ASCII, text, PNG , RXP and PAT
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The scan folder contains a number of open and proprietary formats file formats CSV, ASCII, text, PNG , RXP and PAT
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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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DOWNLOAD
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- OnLine resource
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Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry
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- Hierarchy level
- dataset Dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Provided by Andrew Burt UCL to CEDA for publication
- File identifier
- 82f7734afb3845a8ba5176ed5b1273dc XML
- Metadata language
- EnglishEnglish
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8
- Parent identifier
- Weighing trees with lasers project: Terrestrial Laser Scanner data collection ca0729ec30514a64a6ccd393eacff5f0
- Hierarchy level
- dataset Dataset
- Date stamp
- 2025-11-15T03:26:07
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
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NERC Data Catalogue Service