Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model

Remote Sensing of Environment

Volumn 136, Issue , 2013, Pages 342-357

  Song, Kaishan ^a,b   Li, Lin ^b   Tedesco, L P ^c   Li, Shuai ^b   Duan, Hongtao ^d   Liu, Dianwei ^a   Hall, B E ^b   Du, Jia ^a   Li, Zuchuan ^b   Shi, Kun ^b   Zhao, Ying ^a  

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

^b INDIANA UNIVERSITY   (United States)

^c Wetlands Institute   (United States)

^d NANJING INSTITUTE OF GEOGRAPHY AND LIMNOLOGY   (China)

Author keywords

Chlorophyll a; Genetic algorithms; Partial least squares; Water quality

Indexed keywords

CHLOROPHYLL A; NARROW-BAND SPECTRA; PARTIAL LEAST SQUARE (PLS); ROOT MEAN SQUARED ERRORS; SHITOUKOUMEN RESERVOIRS; SPATIAL TRANSFERABILITY; SPECTRAL MEASUREMENT; STABLE PERFORMANCE;

CHLOROPHYLL; DATA PROCESSING; GENETIC ALGORITHMS; RESERVOIRS (WATER); SIMULATED ANNEALING; WATER QUALITY;

COMPUTER SIMULATION;

CHLOROPHYLL A; COASTAL WATER; CONCENTRATION (COMPOSITION); DATA SET; GENETIC ALGORITHM; LEAST SQUARES METHOD; NUMERICAL MODEL; REMOTE SENSING; SUSPENDED SEDIMENT; TURBIDITY;

AUSTRALIA; CHINA; INDIANA; JILIN; SHITOUKOUMEN RESERVOIR; SOUTH AUSTRALIA; TAIHU LAKE; UNITED STATES;

HYPERION;

EID: 84879189010     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.05.017     Document Type: Article

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