Journal article
Comparing canopy height estimates from satellite-based photogrammetry, airborne laser scanning and field measurements across Australian production and conservation eucalypt forests
Journal of Forest Research, Vol.25(2), pp.108-112
2020
Abstract
Airborne Laser Scanning (ALS) generates accurate data for calculating forest metrics, such as canopy height, yet can be cost-prohibitive. Satellite-based stereo pair photogrammetry has the potential to overcome this limitation of ALS to facilitate multi-temporal change analysis when ALS data capture is unfeasible; however, it remains largely untested across Australian conservation and production eucalypt forests. This study examined root-mean-square differences (RMSD) between canopy height measurements derived from ALS, field measurements and satellite-based photogrammetry for a spotted gum (Corymbia citriodora) plantation and scribbly gum (Eucalyptus racemosa) woodland in south-east Queensland, Australia. The comparison found satellite-based photogrammetry under predicted canopy height compared to field measurements and ALS, whilst the RMSD indicated low performance for satellite-based photogrammetry across the eucalypt plantation and woodland. The open and heterogenous forest structure typical in eucalypt forests combined with low point cloud density for photogrammetry to inadequately sample the canopy and increase stereo matching errors; which was exacerbated across the open and heterogenous scribbly gum woodland. Current satellitebased photogrammetry is therefore unlikely to provide a viable alternative to ALS when analysing canopy height across eucalypt forests at high-resolution. General surface analysis across large areas of eucalypt forest at moderate resolution, or airborne photogrammetric methods, could demonstrate increased viability as an alternative to ALS.
Details
- Title
- Comparing canopy height estimates from satellite-based photogrammetry, airborne laser scanning and field measurements across Australian production and conservation eucalypt forests
- Authors
- Kent Olive (Author) - University of the Sunshine Coast - School of Science and EngineeringTom Lewis (Author) - Department of Agriculture and FisheriesMohammad R Ghaffariyan (Author) - University of the Sunshine CoastSanjeev K Srivastava (Author) - University of the Sunshine Coast - School of Science and Engineering
- Publication details
- Journal of Forest Research, Vol.25(2), pp.108-112
- Publisher
- Taylor & Francis Ltd.
- Date published
- 2020
- DOI
- 10.1080/13416979.2020.1735671
- ISSN
- 1341-6979; 1341-6979
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; Forest Industries Research Centre; School of Science, Technology and Engineering; Forest Research Institute; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 99451422302621
- Output Type
- Journal article
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- Forestry
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