Spatial statistical analysis of tree deaths using airborne digital imagery
High resolution digital airborne imagery offers unprecedented opportunities for observation and monitoring of vegetation, providing the potential to identify, locate and track individual vegetation objects over time. Analytical tools are required to quantify relevant information. In this paper, loca...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
ELSEVIER SCIENCE BV
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/21226 |
| _version_ | 1848750530558427136 |
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| author | Chang, Y. Baddeley, Adrian Wallace, J. Canci, M. |
| author_facet | Chang, Y. Baddeley, Adrian Wallace, J. Canci, M. |
| author_sort | Chang, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | High resolution digital airborne imagery offers unprecedented opportunities for observation and monitoring of vegetation, providing the potential to identify, locate and track individual vegetation objects over time. Analytical tools are required to quantify relevant information. In this paper, locations of trees over a large area of native woodland vegetation were identified using morphological image analysis techniques. Methods of spatial point process statistics were then applied to estimate the spatially-varying tree death risk, and to show that it is significantly non-uniform. [Tree deaths over the area were detected in our previous work (Wallace et al., 2008).] The study area is a major source of ground water for the city of Perth, and the work was motivated by the need to understand and quantify vegetation changes in the context of water extraction and drying climate. The influence of hydrological variables on tree death risk was investigated using spatial statistics (graphical exploratory methods, spatial point pattern modelling and diagnostics). © 2012 Elsevier B.V. |
| first_indexed | 2025-11-14T07:38:18Z |
| format | Journal Article |
| id | curtin-20.500.11937-21226 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:38:18Z |
| publishDate | 2012 |
| publisher | ELSEVIER SCIENCE BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-212262017-09-13T13:53:06Z Spatial statistical analysis of tree deaths using airborne digital imagery Chang, Y. Baddeley, Adrian Wallace, J. Canci, M. High resolution digital airborne imagery offers unprecedented opportunities for observation and monitoring of vegetation, providing the potential to identify, locate and track individual vegetation objects over time. Analytical tools are required to quantify relevant information. In this paper, locations of trees over a large area of native woodland vegetation were identified using morphological image analysis techniques. Methods of spatial point process statistics were then applied to estimate the spatially-varying tree death risk, and to show that it is significantly non-uniform. [Tree deaths over the area were detected in our previous work (Wallace et al., 2008).] The study area is a major source of ground water for the city of Perth, and the work was motivated by the need to understand and quantify vegetation changes in the context of water extraction and drying climate. The influence of hydrological variables on tree death risk was investigated using spatial statistics (graphical exploratory methods, spatial point pattern modelling and diagnostics). © 2012 Elsevier B.V. 2012 Journal Article http://hdl.handle.net/20.500.11937/21226 10.1016/j.jag.2012.04.006 ELSEVIER SCIENCE BV restricted |
| spellingShingle | Chang, Y. Baddeley, Adrian Wallace, J. Canci, M. Spatial statistical analysis of tree deaths using airborne digital imagery |
| title | Spatial statistical analysis of tree deaths using airborne digital imagery |
| title_full | Spatial statistical analysis of tree deaths using airborne digital imagery |
| title_fullStr | Spatial statistical analysis of tree deaths using airborne digital imagery |
| title_full_unstemmed | Spatial statistical analysis of tree deaths using airborne digital imagery |
| title_short | Spatial statistical analysis of tree deaths using airborne digital imagery |
| title_sort | spatial statistical analysis of tree deaths using airborne digital imagery |
| url | http://hdl.handle.net/20.500.11937/21226 |