This dataset contains data on the use of nest boxes by yellow-tailed black-cockatoos on Kangaroo Island (binary response variable; 1 = used in a breeding season, 0 = not used in a breeding season) for nest boxes monitored between 2015-2017 and again in 2020-2023 and the year of monitoring. In addition to this, data was sourced via spatial analysis and remote sensing on the distance to mature Pinus radiata plantation, distance to banksia dominated habitat, and amount of native vegetation within a 10km radius to approximate human disturbance and fragmentation. The name of nest boxes is included, and each nest's spatial location can be identified by this name on a separate Kangaroo Island Landscape Board spatial dataset. The spatial location of nests has been withheld as they identify important breeding sites for endangered bird species.

<p>This dataset is part of the OzTreeMap project and provides two new 30 m spatial resolution canopy height products for continental Australia: the best-pick canopy height model (pick-CHM) and the median canopy height model (med-CHM). Both products represent estimates of vegetation canopy height across Australia and were developed to improve the accuracy and consistency of existing large-scale canopy height models, which were generated by researchers to represent canopy heights from variable time periods ranging from 2007 until 2020. The best-pick and median products are composites and derive from an extensive validation of the 4 original CHMs.</p> Each product is provided as a single-band GeoTIFF raster in the Australian Albers (EPSG:3577) coordinate reference system, with 30 m spatial resolution and float32 data type. These datasets support applications in forest structure monitoring, carbon accounting, and ecosystem assessment across Australia.

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>