Automated in-situ laser scanner for monitoring forest Leaf Area Index.
AuthorCulvenor, DS; Newnham, GJ; Mellor, A; Sims, NC; Haywood, A
University of Melbourne Author/sHaywood, Andrew
AffiliationSchool of Ecosystem and Forest Sciences
Document TypeJournal Article
CitationsCulvenor, D. S., Newnham, G. J., Mellor, A., Sims, N. C. & Haywood, A. (2014). Automated in-situ laser scanner for monitoring forest Leaf Area Index.. Sensors (Basel), 14 (8), pp.14994-15008. https://doi.org/10.3390/s140814994.
Access StatusOpen Access
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179009
An automated laser rangefinding instrument was developed to characterize overstorey and understorey vegetation dynamics over time. Design criteria were based on information needs within the statewide forest monitoring program in Victoria, Australia. The ground-based monitoring instrument captures the key vegetation structural information needed to overcome ambiguity in the estimation of forest Leaf Area Index (LAI) from satellite sensors. The scanning lidar instrument was developed primarily from low cost, commercially accessible components. While the 635 nm wavelength lidar is not ideally suited to vegetation studies, there was an acceptable trade-off between cost and performance. Tests demonstrated reliable range estimates to live foliage up to a distance of 60 m during night-time operation. Given the instrument's scan angle of 57.5 degrees zenith, the instrument is an effective tool for monitoring LAI in forest canopies up to a height of 30 m. An 18 month field trial of three co-located instruments showed consistent seasonal trends and mean LAI of between 1.32 to 1.56 and a temporal LAI variation of 8 to 17% relative to the mean.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References