Quantitative estimation of fluorescence parameters for crop leaves with Bayesian inversion

Remote Sensing

Volumn 7, Issue 10, 2015, Pages 14179-14199

  Zhao, Feng ^a   Guo, Yiqing ^a   Huang, Yanbo ^b   Verhoef, Wout ^c   van der Tol, Christiaan ^c   Dai, Bo ^a   Liu, Liangyun ^d   Zhao, Huijie ^a   Liu, Guang ^d  

^a BEIHANG UNIVERSITY   (China)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c UNIVERSITY OF TWENTE   (Netherlands)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Bayesian approach; Chlorophyll fluorescence; FluorMODleaf; Hyperspectral remote sensing; Model inversion; Radiative transfer

Indexed keywords

BAYESIAN NETWORKS; CHLOROPHYLL; CROPS; EMISSION SPECTROSCOPY; INFERENCE ENGINES; MEAN SQUARE ERROR; OPTICAL PROPERTIES; PARAMETER ESTIMATION; PHOTOSYNTHESIS; RADIATIVE TRANSFER; REMOTE SENSING; SENSITIVITY ANALYSIS;

BAYESIAN APPROACHES; CHLOROPHYLL FLUORESCENCE; FLUORMODLEAF; HYPERSPECTRAL REMOTE SENSING; MODEL INVERSION;

FLUORESCENCE;

EID: 84945964318     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs71014179     Document Type: Article

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