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• W2922346075 abstract "Vegetation condition is a measure of the health, function and long-term viability of an ecosystem and can be described in terms of structure, function and composition of the community. In Australia, government funded programs monitor vegetation structure using manual field surveys to assess change and ecological condition.Terrestrial laser scanning (TLS) is a ground-based form of lidar (light detection and ranging) that generates highly accurate three-dimensional point clouds of positional coordinates. Although TLS has been used to measure vegetation structure for a number of years, to date there has been limited research published using it to assess vegetation condition for biodiversity values. This thesis investigated the use of TLS for measuring site-based vegetation structural attributes in Australian vegetation communities, as a surrogate measure for vegetation condition and biodiversity. It compares the structure estimates derived from TLS to the Queensland Government BioCondition protocol for assessing vegetation condition.The research completed in Chapter 2 shows that accurately defining the ground surface is an important first step in measuring vegetation structure with TLS. Field work to gather co-incident TLS and total station survey points was completed in November 2015, at a single site in an open eucalypt forest at D’Aguilar National Park (GOLD0101), near Brisbane, Queensland, Australia. A new method to produce a very fine resolution (2cm) Digital Elevation Model (DEM) from TLS was outlined and its accuracy assessed against airborne lidar (acquired by a commercial provider in October 2014) and the total station survey points. By using the DEM production method described in Chapter 2, height errors associated with the DEM were minimised for the measurement of tree and shrub height in the following chapters.Chapter 3 showed that both TLS and a low-cost photogrammetry method can accurately measure diameter at breast height (DBH), stem density and basal area. During July/August 2013 coincident TLS and photogrammetry panorama photos were collected at the GOLD0101 site and an additional open eucalypt woodland site at Karawatha Forest Park, near Brisbane, Queensland, Australia. The findings showed that DBH could be measured within 2 cm for both TLS and the photo panoramas and that basal area was closer to field measurements with photo panoramas. TLS had a closer stem count to field measurements, but still underestimated the number of stems at a plot, due to occlusion occurring within the single scan. The use of a low-cost camera, field equipment and software, such as those used to produce photo panoramas, allows for uptake of this technology to automatically measure vegetation structure attributes, and does not require a large capital outlay to purchase a TLS instrument.The TLS and field data used in both Chapters 4 and 5, was collected during March 2014 in the poplar box (Eucalyptus populnea) and brigalow (Acacia harpophylla) woodlands of western Queensland. In Chapter 4 it was determined that TLS could accurately measure the vegetation structure of the overstorey. However, the method used for measuring understory structure needs further work to separate and classify the canopy strata into shrubs, trees and understory. Chapter 5 revealed that compared to field measurements, TLS estimates of vegetation structure can be used to accurately assign a site to a vegetation condition class, in the poplar box and brigalow vegetation communities of western Queensland.The research presented in this thesis demonstrated the ability of TLS to provide a fast and efficient method for the characterisation of vegetation condition in an open woodland environment. By capturing a permanent site record, the repeatability of vegetation condition assessment is improved, while also minimising operator bias. Future directions of this research are suggested including: improved methods for classification of the understory and overstory from TLS, use of multiple TLS scan positions to reduce errors caused by occlusion with a single TLS scan position, and using TLS for vegetation species classification. It is also suggested that by combining TLS with unmanned aerial vehicles and airborne lidar, TLS has the capacity to improve and extend the broad scale application of site based condition assessment. This will have important applications in the future direction of land management policy and assessment of native vegetation, allowing for better management of natural ecosystems." @default.
• W2922346075 created "2019-03-22" @default.
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• W2922346075 date "2018-12-06" @default.
• W2922346075 modified "2023-09-26" @default.
• W2922346075 title "Developing a site based index of vegetation structure complexity from terrestrial laser scanner data" @default.
• W2922346075 doi "https://doi.org/10.14264/uql.2018.807" @default.
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