Thesis Overview


Light Detection and Ranging (lidar) is proving to be a very useful technology in the surveying and mapping fields. A technology that is able to scan the surface of the Earth from above and provide a 3D model of this area is useful for identifying structures such as buildings or rocky areas, but more importantly it is useful in getting information about vegetative or forestry features. However, to obtain the information about these vegetative/forestry features requires that the collected data from an Airborne Laser Scanning (ALS) system be processed in a software package. The ability of this software package to process the different types of vegetative/forestry (i.e. eucalypt forest, scrubby bushland) is an important aspect to measure. The aim of this thesis, therefore, was to compare and contrast between processing of three different types of forestry/vegetative data obtained using lidar and determine which provides the most accurate results or ease of processing. The ability to create an accurate bare earth model and Digital Elevation Model (DEM) was also assessed. The qualitative and quantitative abilities for processing each lidar data type were tested in the analysis.

Datasets and Software

The following datasets were used:

The following software was used:

Qualitative and Quantitative Analyses

A number of qualitative and quantitative analyses were to be undertaken. The qualitative analyses include:

The quantitative analyses include:


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