A protocol for improving mapping and assessing of seagrass abundance along the West Central Coast of Florida using Landsat TM and EO-1 ALI/Hyperion images

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 83, Issue , 2013, Pages 116-129

  Pu, Ruiliang ^a   Bell, Susan ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Biomass; Fuzzy synthetic evaluation; Image optimization; Leaf area index; Remote sensing; Submerged aquatic vegetation (SAV)

Indexed keywords

ALGORITHMS; BIOMASS; BIOMETRICS; ECOSYSTEMS; FUZZY SET THEORY; MATHEMATICAL MODELS; REGRESSION ANALYSIS; REMOTE SENSING; VEGETATION;

FUZZY SYNTHETIC EVALUATION; FUZZY SYNTHETIC EVALUATION TECHNIQUE; IMAGE OPTIMIZATION; LANDSAT-5 (L5) THEMATIC MAPPER; LEAF AREA INDEX; MAXIMUM LIKELIHOOD CLASSIFIERS; REMOTE SENSING TECHNIQUES; SUBMERGED AQUATIC VEGETATIONS;

HYDROGRAPHIC SURVEYS;

ABUNDANCE; ALGORITHM; EOS; FUZZY MATHEMATICS; HYPERION; LANDSAT THEMATIC MAPPER; LEAF AREA INDEX; OPTIMIZATION; PHYTOMASS; REMOTE SENSING; SATELLITE IMAGERY; SEAGRASS; SHALLOW WATER; SUBMERGED VEGETATION;

FLORIDA [UNITED STATES]; GULF COAST [UNITED STATES]; UNITED STATES;

HYPERION;

EID: 84880670974     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.06.008     Document Type: Article

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