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RESEARCH PRODUCT
Fluorescence estimation in the framework of the CEFLES2 campaign
José A. SobrinoS. ChampagneCristian MattarYves GoulasIsmael MoyaGuillem SoriaAna B. RuescasV. HidalgoR. Oltra-carrióBelen FranchF. DaumardAntoine FournierYves JulienA. OunisJ. C. Jiménez-muñozsubject
Root mean square010504 meteorology & atmospheric sciences[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]0211 other engineering and technologiesRadiative transfer[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyGeneral Earth and Planetary SciencesEnvironmental science02 engineering and technology01 natural sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdescription
International audience; Chlorophyll fluorescence (ChF) is a relevant indicator of the actual plant physiological status. In this article different methods to measure ChF from remote sensing are evaluated: The Fraunhofer Line Discrimination (FLD), theFluorescence Radiative Method (FRM) and the improved Fraunhofer Line Discrimination (iFLD). The three methods have been applied to data acquired in the framework of the CarboEurope, FLEX and Sentinel-2 (CEFLES2) campaign in Les Landes, France in September 2007. Comparing with in situ measurements, the results indicate that the methods that provide the best results are the FLD and the iFLD with root mean square errors (RMSEs) of 0.4 and 0.5 mW m-2 sr-1 nm-1, respectively, while the FRM provides an error of 0.8 mW m-2 sr-1 nm-1. © 2011 Taylor & Francis.
year | journal | country | edition | language |
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2011-07-14 | International Journal of Remote Sensing |