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dc.contributor.authorHingee, Kassel Liam
dc.contributor.supervisorDr Peter Caccetta
dc.contributor.supervisorProf. Louis Caccetta

This thesis presents methods that enable the generation of quantitative environmental indicators for remotely monitoring urban regions. Its contributions are a new morphological and surface fitting hybrid algorithm for the generation of ground elevation models, a vegetation classifier and significant research into Canonical Variate Analysis with Rational Polynomials (a feature extraction method that normalises the topographic illumination effect). These methods were tested on a 9600 square kilometre, 20cm resolution dataset covering Perth.

dc.publisherCurtin University
dc.titleGround elevation models and land cover classifers for decimetre resolution urban monitoring
curtin.departmentSchool of Science, Department of Mathematics
curtin.accessStatusOpen access

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