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NSW Forest Monitoring and Improvement Program Forest Plot Network Ground Based Lidar Pilot 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 3324 times
Accessed 454 times
Dataset Created: 2021-04-01
Dataset Published: 2024-01-03
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPNSW Natural Resources Commission - Lidar dataHTTPNSW_Lidar_CWD_dataHTTPNSW_Lidar_data_dictionaryHTTPNSW_Lidar_large_tree_dataHTTPNSW_Lidar_site_level_biomass_dataHTTPNSW_Lidar_small_tree_dataHTTPro-crate-metadata.json
How to cite this collection:
Natural Resources Commission, N. & Gonzalez, S. (2024). NSW Forest Monitoring and Improvement Program Forest Plot Network Ground Based Lidar Pilot. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/3cqm-wn98 
Data is provided for fourteen native forest plots in NSW measured in April 2021 during a pilot of potential field measurement methods for the state-wide forest plot network as part of the NSW Forest Monitoring and Improvement Program. Data includes tree height, diameter, canopy cover, species composition, coarse woody debris, fuel hazard, Biodiversity Assessment Method structure, as well as raw and processed data from terrestrial LiDAR scans. 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. 
Purpose
To pilot a range of field measurement methods to test cost-effectiveness. 
Lineage
The LiDAR dataset is provided in *.LAZ format without a coordinate system (18 plots). Some of these plots were captured twice, resulting in a total of 34 scanned datasets. Only 28 scans were translated into MGA 2020 zone 56. The raw LiDAR point clouds were processed for this delivery using:
  • LAStools (3 October 2020)
  • Quick Terrain Modeler (8.1.1)
  • ArcMap (10.5.1)
  • ArcGIS Pro (2.4.0)

Data were extracted from GIS files, with wood density values added following Zane et al. (2009) global database. Above-ground biomass (AGB) was calculated following either genus-specific or generic equation following Paul. et al 2013. Dead-standing trees had their AGB multiplied by 0.85 following Bennett et al 2013. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Data collected from fourteen field plots in public forests in three regions of NSW – south coast, lower north east, upper north east
Temporal Coverage
From 2021-04-01 to 2021-04-30 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Forest health and pathology
Forestry management and environment
GCMD Sciences
BIOSPHERE - FORESTS
SPECTRAL/ENGINEERING - LIDAR
Horizontal Resolution
< 1 meter
Instruments
Hovermap Mobile Laser Scanner (MLS)
Parameters
above-ground biomass
coarse woody debris decay class
coarse woody debris diameter
coarse woody debris total length
coarse woody debris void space
crown class
crown condition class
crown epicormic growth
crown foliar density class
crown leaf damage class
dead animal count
lidar point cloud
live individual count
presence of dead branches
scientific name
standing dead above-ground biomass
stem diameter
stem height
stem mortality status
stratum type
tree crown condition
tree crown diameter
tree damage cause
tree damage part
tree damage severity
tree measurement history
tree quality code
wood density
Temporal Resolution
< 1 second
Topic
environment
geoscientificInformation
location
User Defined
Forest
Hovermap
Plot
Terrestrial Lidar
Author
Natural Resources Commission, New South Wales Government
Gonzalez, Susana
Contact Point
Bell, Jeffrey
Natural Resources Commission, New South Wales Government
Publisher
Terrestrial Ecosystem Research Network
Zanne, Amy E. et al. (2009). Data from: Towards a worldwide wood economics spectrum [Dataset]. Dryad.
Bennett, L. T., C. Aponte, K. G. Tolhurst, M. Low, and T. G. Baker. 2013. Decreases in standing tree-based carbon stocks associated with repeated prescribed fires in a temperate mixed-species eucalypt forest. Forest Ecology and Management 306:243-255.
Paul, K. I., Roxburgh, S. H., England, J. R., Ritson, P., Hobbs, T., Brooksbank, K., John Raison, R., Larmour, J. S., Murphy, S., Norris, J., Neumann, C., Lewis, T., Jonson, J., Carter, J. L., McArthur, G., Barton, C. and Rose, B. (2013) Development and testing of allometric equations for estimating above-ground biomass of mixed-species environmental plantings. Forest Ecology and Management, 310 . pp. 483-494
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Terrestrial Ecosystem Research Network
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https://creativecommons.org/licenses/by/4.0/
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 

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