A semi-analytical algorithm for remote estimation of phycocyanin in inland waters

Science of the Total Environment

Volumn 435-436, Issue , 2012, Pages 141-150

  Li, Linhai ^a   Li, Lin ^a   Shi, Kun ^a,b   Li, Zuchuan ^a   Song, Kaishan ^a,c  

^a INDIANA UNIVERSITY   (United States)

^b Nanjing Normal University   (China)

^c NORTHEAST INSTITUTE OF GEOGRAPHY AND AGRICULTURAL ECOLOGY   (China)

Author keywords

Bio optical interpretation; Cyanobacteria; Inland waters; Phycocyanin; Remote sensing classification

Indexed keywords

BIO-OPTICAL; CYANOBACTERIA; INLAND WATERS; PHYCOCYANIN; REMOTE SENSING CLASSIFICATION;

FACTOR ANALYSIS; REMOTE SENSING; RESERVOIRS (WATER);

ALGORITHMS;

PHYCOCYANIN; SURFACE WATER;

ABSORPTION; ALGORITHM; CONCENTRATION (COMPOSITION); CYANOBACTERIUM; DETRITUS; EUTROPHIC ENVIRONMENT; PIGMENT; REMOTE SENSING; WATER COLUMN; WATER QUALITY;

ABSORPTION; ACCURACY; ARTICLE; CLASSIFICATION ALGORITHM; CONCENTRATION (PARAMETERS); DETRITUS; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL MONITORING; EUTROPHICATION; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; REMOTE SENSING; TURBIDITY; WATER QUALITY; WATER SAMPLING; WATER SUPPLY;

ALGORITHMS; CHLOROPHYLL; CYANOBACTERIA; DIMENSIONAL MEASUREMENT ACCURACY; ENVIRONMENTAL MONITORING; EUTROPHICATION; FRESH WATER; MODELS, CHEMICAL; PHYCOCYANIN; WATER POLLUTANTS, CHEMICAL;

CYANOBACTERIA;

EID: 84864409892     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2012.07.023     Document Type: Article

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