Predicting leaf gravimetric water content from foliar reflectance across a range of plant species using continuous wavelet analysis

Journal of Plant Physiology

Volumn 169, Issue 12, 2012, Pages 1134-1142

  Cheng, Tao ^a,b   Rivard, Benoit ^b   Sánchez Azofeifa, Arturo G ^b,c   Féret, Jean Baptiste ^d   Jacquemoud, Stephane ^e   Ustin, Susan L ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SMITHSONIAN TROPICAL RESEARCH INSTITUTE   (Panama)

^d GEOPHYSICAL LABORATORY   (United States)

^e INSTITUT DE PHYSIQUE DU GLOBE DE PARIS   (France)

Author keywords

Leaf water content; PROSPECT model; Remote sensing; Spectral reflectance; Wavelet analysis

Indexed keywords

WATER;

ARTICLE; BIOLOGICAL MODEL; CHEMISTRY; CLASSIFICATION; COMPARATIVE STUDY; ECOSYSTEM; PANAMA; PLANT; PLANT LEAF; PROBABILITY; REMOTE SENSING; SPECIES DIFFERENCE; SPECTROSCOPY; STATISTICAL MODEL; WAVELET ANALYSIS;

ECOSYSTEM; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PANAMA; PLANT LEAVES; PLANTS; PROBABILITY; REMOTE SENSING TECHNOLOGY; SPECIES SPECIFICITY; SPECTRUM ANALYSIS; WATER; WAVELET ANALYSIS;

EID: 84863880154     PISSN: 01761617     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jplph.2012.04.006     Document Type: Article

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