An improved water-depth correction algorithm for seagrass mapping using hyperspectral data

Remote Sensing Letters

Volumn 2, Issue 2, 2011, Pages 91-97

  Lu, Duanjun ^a   Cho, Hyun Jung ^b  

^a JACKSON STATE UNIVERSITY   (United States)

^b Jackson State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRECTION ALGORITHMS; EMPIRICAL DATA; EXPERIMENTAL CONDITIONS; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE DATAS; IMAGE DATA; MISSISSIPPI; MULTI-PATH; NEAR INFRARED; NORMALIZED DIFFERENCE VEGETATION INDEX; REFLECTED SIGNAL; REMOTE DETECTION; SCATTERING FACTORS; SEA FLOOR; SEAGRASS BEDS; SEAGRASSES; SPECTRAL SIGNAL; SUBMERGED VEGETATION; WATER ABSORPTION COEFFICIENT; WATER BOTTOM; WATER COLUMNS; WATER DEPTH; WATER EFFECTS;

ALGORITHMS; SEAWEED; SIGNAL DETECTION; UNDERWATER ACOUSTICS; VEGETATION;

WATER ABSORPTION;

ABSORPTION; AIRBORNE SENSING; ALGORITHM; CANOPY ARCHITECTURE; DATA ACQUISITION; ENVIRONMENTAL FACTOR; ERROR CORRECTION; NDVI; NEAR INFRARED; PIXEL; REMOTE SENSING; SAND; SCATTERING; SEAGRASS; SUBMERGED VEGETATION; UPWELLING; WATER COLUMN; WATER DEPTH;

GRAND BAY NATIONAL ESTUARINE RESEARCH RESERVE; MISSISSIPPI; UNITED STATES;

HALODULE; HALODULE WRIGHTII;

EID: 80055007416     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/01431161.2010.502152     Document Type: Article

References (9)

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