Proximal Monitoring in Landscape Environments
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 de...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/59697 |
| _version_ | 1848760547125755904 |
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| author | Ng, Shuqi |
| author_facet | Ng, Shuqi |
| author_sort | Ng, Shuqi |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:17:30Z |
| format | Thesis |
| id | curtin-20.500.11937-59697 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:17:30Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-596972020-12-01T01:33:43Z Proximal Monitoring in Landscape Environments Ng, Shuqi 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. 2017 Thesis http://hdl.handle.net/20.500.11937/59697 Curtin University fulltext |
| spellingShingle | Ng, Shuqi Proximal Monitoring in Landscape Environments |
| title | Proximal Monitoring in Landscape Environments |
| title_full | Proximal Monitoring in Landscape Environments |
| title_fullStr | Proximal Monitoring in Landscape Environments |
| title_full_unstemmed | Proximal Monitoring in Landscape Environments |
| title_short | Proximal Monitoring in Landscape Environments |
| title_sort | proximal monitoring in landscape environments |
| url | http://hdl.handle.net/20.500.11937/59697 |