Australia-Wide 30 m Machine Learning-Derived Canopy Height Models Composites: Best Pick and Median 

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.
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. 

We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. This research was conducted under the ANU-CSIRO Collaborative Research Agreement entitled ‘Spatial and vertical distributions of individual tree and shrub canopies across Australian ecosystems’. We thank Drs Libby Pinkard, Steve Roxburgh, and Glenn Newnham (all from CSIRO Environment) for their continued support. 

These datasets provide better Canopy Height Model estimates as validated versus an extensive point cloud datasets, therefore, these could improve downstream modelling works where the original datasets are used. 

Data not provided.