Hyperspectral discrimination of coral reef benthic communities in the western Caribbean

Karpouzli, Evanthia; Malthus, Tim J.; Place, Chris

doi:10.1007/s00338-003-0363-9

Cited by 66 publications

(50 citation statements)

References 25 publications

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“…The wavelengths of the bands identified coincided with regions of the spectrum identified by other studies as holding useful information for discriminating coral reef benthic assemblages [6,7]. Additional longer wavelength bands identified towards the red end of the spectrum arise from the inclusion of terrestrial vegetative classes such as mangrove and shrubs.…”

Section: Discussionsupporting

confidence: 69%

“…Treating data as truly continuous through the use of derivatives allows access to information that is often suppressed by standard analysis methods. In turn, this has been found to lead to greater accuracies of classification, possibly because derivatives of second or higher order should be relatively insensitive to variations in illumination intensity caused by changes in cloud cover, sun angle, or topography [7].…”

Section: Discussionmentioning

confidence: 99%

“…Associated shallow water landforms, particularly those afforded shelter inside the lagoon (islands, reef patches and ridges) support a wide range of benthic assemblages. Figure 2 illustrates some of the benthic coverages at Al Wajh, which each have unique spectral reflectance curves that have been found to be distinguishable in tropical regions such as the Caribbean and worldwide [6,7]. Klecka (1980) summarised discriminant factor analysis in terms of pixel clusters in multidimensional feature space.…”

Section: Study Sitementioning

confidence: 99%

“…between 400 and 700 nm. Several studies have isolated single wavelengths or portions of the electromagnetic spectrum that may be useful for distinguishing between features of interest in a coral reef environment [6][7][8]. While previous studies have concentrated on subsurface features, this study incorporates ground coverages from both terrestrial and benthic surfaces as the scope of many mapping campaigns covers the wider coastal zone.…”

Section: Introductionmentioning

confidence: 99%

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Determination of the separability of coastal community assemblages of the Al Wajh Barrier Reef, Red Sea, from hyperspectral data

Hamylton

2009

Open Geosciences

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Abstract:Remote sensing provides a practical means by which coral reefs and their associated communities are commonly mapped. The availability of spectral information is a key determinant of the detail discernable in the mapping process and consequent detail presented in output maps. Testament to this is the increasing utility of hyperspectral sensors, which typically yield datasets of higher resolution, spectrally continuous wavebands. Image classification algorithms distinguish between the different and unique reflectance characteristics of target features. While the availability of more wavebands provides the opportunity to apply analysis techniques that treat the data as spectrally continuous, such a large number of data dimensions also present a considerable computing burden. Through multiple discriminant function analysis, this paper identifies an optimal subset of wavelengths for resolving the reflectance of key terrestrial and marine coverages at the Al Wajh Barrier reef system, Saudi Arabia, Red Sea. The goal of such analysis is to facilitate the processing of high resolution, spectrally continuous remote sensing data of coastal landscapes.

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Section: Discussionsupporting

confidence: 69%

Section: Discussionmentioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determination of the separability of coastal community assemblages of the Al Wajh Barrier Reef, Red Sea, from hyperspectral data

Hamylton

2009

Open Geosciences

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“…Modelling studies are therefore required to evaluate the upper or lower theoretical bounds of remote sensing capability and guide the design of appropriate sensors. Various studies have assessed the spectral separability of reef benthic classes and in some cases advised on optimal wavelengths for discrimination [6][7][8][9][10]. However, these studies have focused on variation in benthic type in situ spectral reflectance and sensor noise as the primary sources of noise in the system.…”

Section: Introductionmentioning

confidence: 99%

Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design

et al. 2012

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A generic method was developed for analysing the capabilities of optical remote sensing of aquatic systems in terms of environmental components and imaging sensor configurations. The method was based on a component based model of the entire system in which not only benthic composition but other environmental components such as water inherent optical properties (IOPs), bathymetry, sun elevation, wind speed and sensor noise characteristics were defined by datasets with the potential to include across-image variation. The model was applied to data from Pacific Ocean reefs in an airborne sensor context to estimate the primary environmental or sensor factors confounding discrimination of benthic mixtures of key reef types: live coral, bleached coral, dead coral and macroalgae. Results indicate that spectral variation of benthic types and sub-pixel mixing is the primary limiting factor for benthic mapping objectives, whereas instrument noise levels are a minor factor.

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Mapping macrophytic vegetation in shallow lakes using the Compact Airborne Spectrographic Imager (CASI)

Hunter

Gilvear

Tyler

et al. 2010

Aquatic Conservation

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ABSTRACT1. The ecological status of shallow lakes is highly dependent on the abundance and composition of macrophytes. However, large-scale surveys are often confined to a small number of water bodies and undertaken only infrequently owing to logistical and financial constraints.2. Data acquired by the Compact Airborne Spectrographic Imager-2 (CASI-2) was used to map the distribution of macrophytes in the Upper Thurne region of the Norfolk Broads, UK. Three different approaches to image classification were evaluated: (i) Euclidean minimum distance, (ii) Gaussian maximum likelihood, and (iii) support vector machines.3. The results show macrophyte growth-habits (i.e. submerged, floating-leaved, partially-emergent, emergent) and submerged species could be mapped with a maximum overall classification accuracy of 78% and 87%, respectively. The Gaussian maximum likelihood algorithm and support vector machine returned the highest classification accuracies in each instance.4. This study suggests that remote sensing is a potentially powerful tool for large-scale assessment of the cover and distribution of aquatic vegetation in clear water shallow lakes, particularly with respect to upscaling field survey data to a functionally relevant form, and supporting site-condition monitoring under the European Union Habitats (92/43/EEC) and Water Framework (2000/60/EC) directives.

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Hyperspectral discrimination of coral reef benthic communities in the western Caribbean

Cited by 66 publications

References 25 publications

Determination of the separability of coastal community assemblages of the Al Wajh Barrier Reef, Red Sea, from hyperspectral data

Determination of the separability of coastal community assemblages of the Al Wajh Barrier Reef, Red Sea, from hyperspectral data

Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design

Mapping macrophytic vegetation in shallow lakes using the Compact Airborne Spectrographic Imager (CASI)

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