This data contains maximum vegetation height collected from airborne full waveform lidar and hyperspectral data in the VNIR bands in the Tumbarumba Wet Eucalypt site in 2012

This dataset is a collection of drone lidar data from plots across Australia (AusPlots, SuperSites, Cal/Val sites to be established in the future). The aim of these drone surveys is to capture vegetation structure. The standardised data collection and data processing protocols developed in 2022 are based on the DJI Matrice 300 (M300) RTK drone platform. Lidar sensor DJI Zenmuse L1 is used with DJI Matrice 300 (M300) RTK platform to capture RGB colourised 3D point clouds. The data is georeferenced using the onboard GNSS in M300 and the D-RTK 2 base station. DJI Terra software was used to generate 3D point clouds from the raw lidar data. The protocols include flight planning and data collection guidelines for a 100 x 100 m TERN plot, and the processing workflow used on DJI Terra. Mission-specific metadata for each plot is provided in the imagery/metadata folder (please refer to the imagery collection). The Drone Data Collection and Lidar Processing protocols can be found at <em> https://www.tern.org.au/field-survey-apps-and-protocols/ </em>.

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Tumbarumba Wet Eucalypt site in NSW, 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 data contains biomass from sub-tropical pasture vegetation within the Samford Peri-Urban Site between 2011 - 2013

Elevation, aspect and slope of 33 one-hectare plots in Karawatha Peri-Urban site in 2007.

This dataset is a collection of drone RGB and multispectral imagery from plots across Australia (AusPlots, SuperSites, Cal/Val sites to be established in the future). Standardised data collection and data processing protocols are used to collect drone imagery and to generate orthomosaics. The protocols developed in 2022 are based on the DJI Matrice 300 (M300) RTK drone platform. DJI Zenmuse P1 and MicaSense RedEdge-MX/Dual sensors are used with M300 to capture RGB and multispectral imagery simultaneously. The data is georeferenced using the DJI D-RTK2 base station and onboard GNSS RTK. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) are interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate co-registered RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. Mission-specific metadata for each plot is provided in the imagery/metadata folder. The Drone Data Collection and RGB and Multispectral Imagery Processing protocols can be found at <em> https://www.tern.org.au/field-survey-apps-and-protocols/ </em>.

This dataset contains records of vascular plant species from the Biological Survey of South Australia. Preparation from raw data obtained via AEKOS data portal involved the selection of data fields, the removal of intraspecific taxa (only genus and species used to define individual taxa) and removal of duplicate records and those not determined to species.

Destructive sampling of 47 <em>Eucalyptus obliqua</em> trees was carried out in the Warra Tall Eucalypt site to determine a range of biomass measures that can be used to inform allometric equations.

The record contains information on the five-minute, point-count, bird survey data conducted in the Southern Forests Experimental Forest Landscape (SFEFL), Warra Site for the period between 2010 to 2011. Data such as age class of study plots, Landscape Disturbance Index (LDI), bird survey period, bird species identification details, observation distance, number of individuals, height and direction of observation at a minimum distance of 25 meters are provided.

The dataset comprises vegetation occurrence along a point intercept survey at the Calperum Mallee site in 2012