Paper
16 November 2004 Plant pigment types, distributions, and influences on shallow water submerged aquatic vegetation mapping
Author Affiliations +
Proceedings Volume 5569, Remote Sensing of the Ocean and Sea Ice 2004; (2004) https://doi.org/10.1117/12.565765
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain
Abstract
Development of robust protocols for use in mapping shallow water habitats using hyperspectral imagery requires knowledge of absorbing and scattering features present in the environment. These include, but are not limited to, water quality parameters, phytoplankton concentrations and species, submerged aquatic vegetation (SAV) species and densities, epiphytic growth on SAV, benthic microalgae and substrate reflectance characteristics. In the Indian River Lagoon, Fl. USA we conceptualize the system as having three possible basic layers, water column and SAV bed above the bottom. Each layer is occupied by plants with their associated light absorbing pigments that occur in varying proportions and concentrations. Phytoplankton communities are composed primarily of diatoms, dinoflagellates, and picoplanktonic cyanobacteria. SAV beds, including flowering plants and green, red, and brown macro-algae exist along density gradients ranging in coverage from 0-100%. SAV beds may be monotypic, or more typically, mixtures of the several species that may or may not be covered in epiphytes. Shallow water benthic substrates are colonized by periphyton communities that include diatoms, dinoflagellates, chlorophytes and cyanobacteria. Inflection spectra created form ASIA hyperspectral data display a combination of features related to water and select plant pigment absorption peaks.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carlton R. Hall, Charles R. Bostater Jr., and Robert Virnstein "Plant pigment types, distributions, and influences on shallow water submerged aquatic vegetation mapping", Proc. SPIE 5569, Remote Sensing of the Ocean and Sea Ice 2004, (16 November 2004); https://doi.org/10.1117/12.565765
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Cited by 4 scholarly publications.
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KEYWORDS
Absorption

Reflectivity

Remote sensing

Vegetation

Water

Hyperspectral imaging

Backscatter

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