Show simple item record

dc.contributor.authorNg, Shuqi
dc.contributor.supervisorProf. Louis Caccettaen_US
dc.date.accessioned2018-01-16T05:44:25Z
dc.date.available2018-01-16T05:44:25Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/20.500.11937/59697
dc.description.abstract

This thesis validates the use of stereo-cameras as a cost and time efficient technology to monitor environmental indicators. Tree dendrometrics can be measured quite accurately from stereo-images of trees. From these measurements, aboveground biomass is predicted using allometric models where the deviations from ground truth harvest data is smaller compared to traditional methods of estimation The prediction of tree biomass is of significance as it provides an effective non-destructive method for carbon accounting. This work was done in collaboration with CSIRO.

en_US
dc.publisherCurtin Universityen_US
dc.titleProximal Monitoring in Landscape Environmentsen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentDepartment of Mathematics and Statisticsen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record