Deployment and integration of cost-effective, high spatial resolution, remotely sensed data for the Australian forestry industry
13th December 2017
The aim of this three-year project was to provide commercial forest growers with knowledge of and access to robust data acquisition and processing solutions that will enable cost-effective deployment and integration of LiDAR and camera-derived products for accurate, spatially-explicit, resource assessment information required for operational and strategic planning. The key tasks identified from stakeholder consultation included:
- Evaluate and adapt the ALS (LiDAR) modelling approaches developed in PNC303-1213 for stand variables associated with hardwood plantations and native forests.
- Compare the acquisition costs, data quality and classification accuracies of multispectral data captured by UAVs and light aircraft for mapping: weeds; survival counts; coppice condition and post-harvest residues.
- Optimise the acquisition, processing and use of hybrid surface models using ALS and optical point data clouds (parameterization & calibration).
- Provide recommendations on the most cost-effective acquisition specifications and optimal sampling design strategies for ALS and/or digital camera data across a range of resource assessment tasks.
The key project deliverables were identified as the provision of:
- Operational workflow protocols for acquiring and processing ALS- and photo-derived surfaces across a range of resource assessment and mapping tasks;
- Operational workflow protocols for extracting and modelling LiDAR- and photo-derived metrics for estimating standing timber attributes;
- Reports on the cost reductions associated with the application of these technologies for resource assessment and planning and advice on the optimal specifications and scheduling of camera and ALS image acquisitions.
In addition to the project report the technology transfer activities would be supported by the production of a guide Planning Guideline: Photogrammetry for Forest Inventory and a web-based costing tool.
The web-based costing tool is due to be launched in early 2018.
Associated Technical Report: