Paper
5 January 2001 Hyperspectral versus multispectral imaging for submerged coral detection
Heather Holden, Ellsworth LeDrew
Author Affiliations +
Proceedings Volume 4154, Hyperspectral Remote Sensing of the Ocean; (2001) https://doi.org/10.1117/12.411667
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan
Abstract
Analysis of hyperspectral data has produced encouraging results in the discrimination of common and optically similar coral reef substrates such as healthy corals, bleached corals, sea grass, and algae-covered surfaces, but at the present time, such high spectral resolution data is unavailable from a satellite platform. If currently available satellite imagery is to be used to map and monitor changes in coral reef geographic extent and health, a quantitative procedure must be developed to discriminate healthy coral from other optically similar benthic substrates with coarse spectral resolution. The primary goal of this study is to evaluate the feasibility of using coarse spectral resolution data to map the geographic extent and monitor the changes in coral reef ecosystems. While previous studies have based analysis upon reflectance values extracted from images, an attempt is made here to discriminate common coral reef features using in situ spectral reflectance measurements with spectral resolution equivalent to SPOT HRV data. Results of a one-way analysis of variance suggest that the broad categories of in situ reflectance measurements (n equals 596) can be considered separate populations with respect to broadband reflectance characteristics.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Heather Holden and Ellsworth LeDrew "Hyperspectral versus multispectral imaging for submerged coral detection", Proc. SPIE 4154, Hyperspectral Remote Sensing of the Ocean, (5 January 2001); https://doi.org/10.1117/12.411667
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Cited by 5 scholarly publications.
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KEYWORDS
Reflectivity

Spectral resolution

Ecosystems

Satellites

Satellite imaging

Earth observing sensors

Hyperspectral imaging

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