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 https://www.tern.org.au/field-survey-apps-and-protocols/ .

This dataset provides terrestrial lidar scanning (TLS) point cloud data collected at 10 research plots along the forest-tundra ecotone (FTE) in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. Data were collected in mid-June 2016. Data were acquired for each plot from multiple scan positions with a Leica ScanStation C10 green wavelength laser instrument. After processing the point spacing is < 1 cm. TLS enables resolution of 3-dimensional landscape features that can be used to derive ecologically important metrics of canopy structure and surface topography at high spatial resolution.

LiDAR geospatial data were collected on hatchie National Wildlife Refuge in late fall-winter 2011-2012. The associated deliverables from the project are provided as geo-referenced in zipped folders. These datasets include 1-foot counter, bare earth DEM, Bare earth Hillshade, bare earth Terrain, control points, DSM, GT_report, Intensity, LAS, and Shapefiles. Associated Metadata may not be fully compliant.

TERN worked together with Airborne Research Australia (ARA) to deliver airborne hyperspectral and lidar data for a number of selected homogenous 5 km x 5 km field sites across several locations in Australia (formally known as the AusCover Supersites). A Riegl Q560 Lidar, a SPECIM AisaEAGLE II hyperspectral scanner (VNIR) and a SPECIM AisaHAWK hyper-spectral scanner were mounted in underwing pods of ARA's ECO-Dimona research aircraft VH-EOS, each one together with its own navigation and altitude system. The spatial resolution of the Airborne hyperspectral data is 0.5m and Airborne LiDAR is 0.3m. Details on the data acquisition for each site is summarized here.

LiDAR geospatial data were collected on the 18,000 area Clarks River National Wildlife Refuge in late fall-winter 2011. The associated deliverables from the project are provided as geo-referenced in zipped folders. These datasets include 1-foot counter, bare earth DEM, Bare earth Hillshade, vare earth Terrain, control points, DSM, GT_report, Intensity, LAS, and Shapefiles. Associated Metadata may not be fully compliant.

This dataset provides multiple-return LiDAR-derived vegetation canopy structure at 30-meter spatial resolution for the Great Smoky Mountains National Park (GSMNP). Canopy characteristics were analyzed using high resolution three-dimensional point cloud measurements gathered between February-April 2011 for Tennessee and during March-April 2005 for North Carolina sections of the park. Vegetation types were mapped by grouping areas of similar canopy structure. The map was compared and validated against existing vegetation maps for the park.