From 1 - 4 / 4
  • Categories    

    This dataset contains UAV RGB imagery collected as part of a field trial to test the Uncrewed Aerial System to be used for the TERN Drone project. The UAS platform is DJI Matrice 300 RTK with 2 sensors: Zenmuse P1 (35 mm) RGB mapping camera and Micasense RedEdge-MX Dual (10-band multispectral sensor). P1 imagery were georeferenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. Camera positions were post-processed using <a href="https://www.ga.gov.au/scientific-topics/positioning-navigation/geodesy/auspos">AUSPOS</a>. Flight conducted between 10:26 am and 10:47 am AEDT at flying height 80 m, forward and side overlap set to 80%. <br><br> RGB orthomosaic (resolution: 1 cm. CRS: EPSG 7855 - GDA2020 MGA Zone 55) generated using Agisoft Metashape Professional, and a cloud optimised GeoTIFF was created using rio command line interface.

  • Categories    

    This dataset contains RGB and multispectral imagery collected at TERN’s Calperum Mallee SuperSite during a field trial of an Uncrewed Aircraft System (UAS), conducted to assess the use of drone-based imagery for the TERN Drone project across existing and future TERN sites (AusPlots, SuperSites, and Cal/Val sites). Standardised TERN Ecosystem Surveillance Drone 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>.

  • Categories    

    This dataset contains UAV RGB imagery collected as part of a field trial to test the Uncrewed Aerial System to be used for the TERN Drone project. The UAS platform is DJI Matrice 300 RTK with 2 sensors: Zenmuse P1 (35 mm) RGB mapping camera and Micasense RedEdge-MX (5-band multispectral sensor). P1 imagery were georeferenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. Camera positions were post-processed using <a href="https://www.ga.gov.au/scientific-topics/positioning-navigation/geodesy/auspos">AUSPOS</a>. The flight took place between 14:00 and 14:08 at a height of 80m with a flying speed set to 5 m/s. Forward and side overlaps of photographs were set to 80%. <br><br> Agisoft Metashape was used to generate this RGB orthomosaic (resolution 1 cm). This cloud optimised GeoTIFF was created using rio command line interface. The coordinate reference system of the orthomosaic is EPSG 7855 - GDA2020 MGA Zone 55.

  • Categories      

    Dronescape Dataset Description <br></br> Dronescape is a research infrastructure initiative within TERN that integrates uncrewed aerial vehicle (UAV) remote sensing techniques into Australia's terrestrial ecosystem monitoring framework. The project addresses critical spatio-temporal gaps between field-based measurements and satellite observations by deploying UAV systems carrying RGB, 10-band multispectral, and LiDAR sensors across TERN's surveillance monitoring plot network. Through standardized protocols and automated processing workflows, Dronescape generates analysis-ready products including orthomosaics, reflectance maps, vegetation indices, and 3D point clouds.<br></br> As of 2025, the project has surveyed over 120 plots across multiple bioregions, with ongoing expansion to additional monitoring sites. Each plot covers approximately 90,000 m², contributing to a continuously growing dataset that enables long-term monitoring of Australia's diverse vegetation communities.<br></br> Project Scope <br></br> <ul><li>Coverage: More than 120 plots across multiple bioregions (ongoing expansion) </li> <li>Plot Size: Approximately 90,000 m² per monitoring site </li> <li>Temporal Scale: 2–10 year monitoring cycles </li> <li>Data Types: RGB, 10-band multispectral, and LiDAR</li></ul>