This terrestrial LiDAR dataset captures detailed vegetation structural information at the Cumblerland Plain Woodland SuperSite in Western Sydney, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Robson Creek Tropical Rainforest SuperSite within Danbulla National Park, North Queensland, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Calperum Mallee SuperSite on Calperum Station near Renmark, South Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardised and highly detailed capture of 3D vegetation structure across Australia.

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Alice Mulga SuperSite on Pine Hill Cattle Station in the Northern Territory, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Fletcherview Tropical Rangeland SuperSite, located 50km west of Townsville, Queensland, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Tumbarumba Wet Eucalypt site in the Bago State Forest, New South Wales, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Litchfield Savanna SuperSite in NT, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

Terrestrial laser scans were acquired in native Eucalypt Open Forest (dry sclerophyll Box-Ironbark forest) in Victoria, Australia. Two plots (RUSH06 and RUSH07) with a 40 m radius were established in Rushworth forest and partially harvested in May 2012 to acquire accurate estimates of above-ground biomass. The main tree species in these plots were Eucalyptus leucoxylon, Eucalyptus microcarpa and Eucalyptus tricarpa. Single trees were extracted from the TLS data and quantitative structure models were used to estimate the tree volume directly from the point cloud data. Above-ground biomass (AGB) was inferred from the derived volumes and basic wood density information, and compared with estimates of above-ground biomass derived from allometric equations and destructive sampling. See <a href="https://doi.org/10.1111/2041-210X.12301">Calders et al. (2014)</a> and <a href="http://www.vcccar.org.au/publication/final-report/comprehensive-carbon-assessment-program">Murphy et al. (2014)</a> for further information.

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Wombat Stringybark Eucalypt SuperSite in the Wombat State Forest, near Ballarat, Victoria, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

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.