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Titre du document / Document title

Remote assessment of benthic substrate composition in shallow waters using multispectral reflectance

Auteur(s) / Author(s)

WERDELL P. Jeremy (1) ; ROESLER Collin S. (1) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Department of Marine Sciences, University of Connecticut, 1084 Shennecossett Road, Groton, Connecticut 06340, ETATS-UNIS

Résumé / Abstract

We investigated the utility of quantifying percent coverage of benthic substrate constituents from surface multispectral reflectance measurements. Six substrates were considered: kelp, eelgrass, clay, silt, mineralic sand from a temperate environment, and turtlegrass and carbonate sand from a tropical environment. Each had a unique albedo spectrum that contributes differently to the upward light field in an optically shallow environment. Simplifications to the radiative transfer equation yield an analytic solution for surface reflectance in optically shallow environments. The objectives were to test the inverse model to predict bottom albedo from measurements of surface reflectance, diffuse attenuation, and water depth in the turbid water of eastern Long Island Sound, Connecticut, and clear waters off Exuma, Bahamas. A linear mixing model was used to deconvolve the derived albedo spectra into contributions by the six constituents. The inverse and deconvolution models accurately identified the dominant substrate in the six homogeneous habitats (single point determinations) and predicted the gradient in substrate composition along transects. This approach has applications to benthic survey mapping, habitat assessment, and habitat monitoring.

Revue / Journal Title

Limnology and oceanography    ISSN  0024-3590   CODEN LIOCAH 

Source / Source

2003, vol. 48 (2), no 1 (265 p.)  [Document : 11 p.] (47 ref.), pp. 557-567 [11 page(s) (article)]

Langue / Language

Anglais

Editeur / Publisher

American Society of Limnology and Oceanography, Waco, TX, ETATS-UNIS  (1956) (Revue)

Mots-clés anglais / English Keywords

Caribbean region

;

West Indies

;

Antilles

;

Atlantic Ocean

;

North Atlantic

;

Northwest Atlantic

;

North America

;

United States

;

sea water

;

marine environment

;

correlation coefficient

;

models

;

habitat

;

albedo

;

carbonates

;

sand

;

multispectral remote sensing

;

reflectance

;

remote sensing

;

optical properties

;

shallow-water environment

;

Bahamas Sea

;

Bahamas

;

Long Island Sound

;

Connecticut

;

Mots-clés français / French Keywords

Région des Caraïbes

;

Iles Caraïbes

;

Antilles

;

Océan Atlantique

;

Océan Atlantique Nord

;

Océan Atlantique Nord Ouest

;

Amérique du Nord

;

Etats Unis

;

Ile Lee Stocking

;

Eau mer

;

Milieu marin

;

Coefficient corrélation

;

Modèle

;

Habitat

;

Albedo

;

Carbonate

;

Sable

;

Télédétection multispectrale

;

Pouvoir réflecteur

;

Télédétection

;

Propriété optique

;

Milieu eau peu profonde

;

Mer des Bahamas

;

Bahamas

;

Détroit Long Island

;

Connecticut

;

Mots-clés espagnols / Spanish Keywords

Región del Caribe

;

Antillas

;

Océano Atlántico

;

Océano Atlántico Norte

;

America del norte

;

Estados Unidos

;

Agua mar

;

Medio marino

;

Coeficiente correlación

;

Modelo

;

Habitat

;

Albedo

;

Carbonato

;

Arena

;

Teledetección multiespectral

;

Poder reflector

;

Detección a distancia

;

Propiedad óptica

;

Medio agua poco profunda

;

Bahamas

;

Estrecho Long Island

;

Connecticut

;

Localisation / Location

INIST-CNRS, Cote INIST : 2892, 35400010380989.0240

Nº notice refdoc (ud4) : 14522760



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