The LiDAR Index (Latest) illustrates the extents of the most current Light Detection and Ranging (LiDAR) projects acquired by Land Tasmania.

The LiDAR Index (All Projects) illustrates the extents of all Light Detection and Ranging (LiDAR) projects acquired by Land Tasmania.

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/ .

Frame based vertical aerial photography acquired from 1945 to 2012 over Tasmania to support the TASMAP mapping program by Land Tasmania,(DPIPWE).

The Victor Harbour Lidar Project was capture during September 2011 by Photomapping Services using an airborne Optech Gemini Lidar system. The data was captured in order to provide surface, vegetation and intensity information to be used in coastal management. The final LAS dataset has been processed to Level 2 of the ICSM Lidar Specification. Several derivative products have then been produced from the orthometric corrected laser surface.

LiDAR (Light Detection And Ranging) is an increasingly popular remote sensing technology that uses light in the form of a pulsed laser (typically from an aircraft) to measure 'ranges', thereby being able to accurately calculate distances and elevations in a 3D environment. Landgate commissioned a LiDAR capture over the 'built up' areas of the Perth metropolitan area between the summer of 2021 and autumn of 2022. This supplements previous captures undertaken in recent years in the more remote regions - usually in support of state and local government initiatives. As the State's custodian of elevation data, Landgate makes its Capture WA funded LiDAR acquisitions available for use by state & local governments and industry. Additional information is available on the Landgate website. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

LIDAR_PROJECT_POLY: Data consists of polygons representing the spatial footprints of LIDAR projects over BLM lands in Oregon and Washington.

The U.S. Geological Survey deployed small uncrewed aircraft systems (sUAS) to collect aerial remote sensing data across sites within the Lower Darby Creek Superfund Site and the adjacent John Heinz National Wildlife Refuge (JHNWR) ~5 miles outside of Philadelphia, PA in March and August of 2024. March datasets include aerial images from natural color (RGB) and thermal infra-red (TIR) sensors across the JHNWR and adjacent tributaries as well as the nearby Clearview Landfill within the superfund site. August datasets include aerial images from natural color (RGB), thermal-infrared (TIR), multispectral sensors, and raw lidar over the Clearview Landfill only. These datasets were processed to produce high resolution digital elevation models (DEM), image mosaics, and lidar point clouds (LPC). Black and white cross-coded ground control points (GCPs) were surveyed using Real Time Kinematic (RTK) GPS and RTK-GPS enabled AeroPoints to georeference the model and orthomosaics during post-processing. The elevation and imagery products were produced to help partners at the Environmental Protection Agency (EPA) and U.S. Fish and Wildlife Service (USFWS) acquire accurate elevation data for target sites during the winter "leaf-off" period (March) and monitor changes in vegetation cover during peak growing season (August) building a baseline conditions dataset starting in August 2023. The March field collection included more baseline lidar data for additional large swaths of the National Wildlife Refuge as well as the thermal imagery dataset, which is the only planned thermal survey, and as a result took several days to complete. Although lidar was collecting during the August field effort, the focus was for vegetation at the Clearview Landfill and so only required one day of surveying. Future data collections are planned to support long-term monitoring of landscape change resulting from remediation efforts and potential storm impacts.

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.