Preliminary investigation of submerged aquatic vegetation mapping using hyperspectral remote sensing

Environmental Monitoring and Assessment

Volumn 81, Issue 1-3, 2003, Pages 383-392

  Williams, David J ^a   Rybicki, Nancy B ^b   Lombana, Alfonso V ^b   O'Brien, Tim M ^c   Gomez, Richard B ^d  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b U S GEOLOGICAL SURVEY   (United States)

^c Environmental Concern Inc   (United States)

^d George Mason University   (United States)

Author keywords

Computational techniques; Epiphyte; Estuarine ecosystems; Hyperspectral; Reflectance spectroscopy; Remote sensing; Species mapping; Submergerd aquatic vegetation

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGE SENSORS; VEGETATION;

SUBMERGED AQUATIC VEGETATION (SAV);

REMOTE SENSING;

ESTUARINE ECOSYSTEM; MAPPING; REFLECTANCE; REMOTE SENSING; SPECTROSCOPY; SUBMERGED VEGETATION;

ACCURACY; ALGORITHM; AQUATIC ENVIRONMENT; ARTICLE; AUTOMATION; COMPARATIVE STUDY; CONTROLLED STUDY; DATA BASE; IMAGING; NONHUMAN; PHOTOGRAPHY; PLANT GROWTH; RIVER; SAMPLING; SENSOR; SPECTROMETRY; UNITED STATES; VEGETATION;

ALGORITHMS; AUTOMATION; DATABASES, FACTUAL; ENVIRONMENTAL MONITORING; MARYLAND; PLANTS; SPACECRAFT; VIRGINIA;

UNITED STATES;

MYRIOPHYLLUM; MYRIOPHYLLUM SPICATUM; SAN ANGELO VIRUS; VALLISNERIA; VALLISNERIA AMERICANA;

EID: 0037272429     PISSN: 01676369     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1021318217654     Document Type: Article

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