A method to analyze the potential of optical remote sensing for benthic habitat mapping
Quantifying the number and type of benthic classes that are able to be spectrally identified in shallow water remote sensing is important in understanding its potential for habitat mapping. Factors that impact the effectiveness of shallow water habitat mapping include water column turbidity, depth,...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
MDPI AG
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/15886 |
| _version_ | 1848749015895638016 |
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| author | Garcia, R. Hedley, J. Tin, H. Fearns, Peter |
| author_facet | Garcia, R. Hedley, J. Tin, H. Fearns, Peter |
| author_sort | Garcia, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Quantifying the number and type of benthic classes that are able to be spectrally identified in shallow water remote sensing is important in understanding its potential for habitat mapping. Factors that impact the effectiveness of shallow water habitat mapping include water column turbidity, depth, sensor and environmental noise, spectral resolution of the sensor and spectral variability of the benthic classes. In this paper, we present a simple hierarchical clustering method coupled with a shallow water forward model to generate water-column specific spectral libraries. This technique requires no prior decision on the number of classes to output: the resultant classes are optically separable above the spectral noise introduced by the sensor, image based radiometric corrections, the benthos’ natural spectral variability and the attenuating properties of a variable water column at depth. The modeling reveals the effect reducing the spectral resolution has on the number and type of classes that are optically distinct. We illustrate the potential of this clustering algorithm in an analysis of the conditions, including clustering accuracy, sensor spectral resolution and water column optical properties and depth that enabled the spectral distinction of the seagrass Amphibolis antartica from benthic algae. |
| first_indexed | 2025-11-14T07:14:13Z |
| format | Journal Article |
| id | curtin-20.500.11937-15886 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:14:13Z |
| publishDate | 2015 |
| publisher | MDPI AG |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-158862017-09-13T14:08:01Z A method to analyze the potential of optical remote sensing for benthic habitat mapping Garcia, R. Hedley, J. Tin, H. Fearns, Peter Quantifying the number and type of benthic classes that are able to be spectrally identified in shallow water remote sensing is important in understanding its potential for habitat mapping. Factors that impact the effectiveness of shallow water habitat mapping include water column turbidity, depth, sensor and environmental noise, spectral resolution of the sensor and spectral variability of the benthic classes. In this paper, we present a simple hierarchical clustering method coupled with a shallow water forward model to generate water-column specific spectral libraries. This technique requires no prior decision on the number of classes to output: the resultant classes are optically separable above the spectral noise introduced by the sensor, image based radiometric corrections, the benthos’ natural spectral variability and the attenuating properties of a variable water column at depth. The modeling reveals the effect reducing the spectral resolution has on the number and type of classes that are optically distinct. We illustrate the potential of this clustering algorithm in an analysis of the conditions, including clustering accuracy, sensor spectral resolution and water column optical properties and depth that enabled the spectral distinction of the seagrass Amphibolis antartica from benthic algae. 2015 Journal Article http://hdl.handle.net/20.500.11937/15886 10.3390/rs71013157 MDPI AG fulltext |
| spellingShingle | Garcia, R. Hedley, J. Tin, H. Fearns, Peter A method to analyze the potential of optical remote sensing for benthic habitat mapping |
| title | A method to analyze the potential of optical remote sensing for benthic habitat mapping |
| title_full | A method to analyze the potential of optical remote sensing for benthic habitat mapping |
| title_fullStr | A method to analyze the potential of optical remote sensing for benthic habitat mapping |
| title_full_unstemmed | A method to analyze the potential of optical remote sensing for benthic habitat mapping |
| title_short | A method to analyze the potential of optical remote sensing for benthic habitat mapping |
| title_sort | method to analyze the potential of optical remote sensing for benthic habitat mapping |
| url | http://hdl.handle.net/20.500.11937/15886 |