Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPARchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest?

Gespeichert in:

Autor*in:	Zhang, Qingyuan [verfasserIn] Middleton, Elizabeth M. Margolis, Hank A. Drolet, Guillaume G. Barr, Alan A. Black, T. Andrew

Format:	Artikel

Erschienen:	2009

Umfang:	9

Übergeordnetes Werk:	Enthalten in: Remote sensing of environment - Amsterdam [u.a.] : Elsevier, 1969, 113(2009), 4 vom: 15. Apr., Seite 880-889
Übergeordnetes Werk:	volume:113 ; year:2009 ; number:4 ; day:15 ; month:04 ; pages:880-889 ; extent:9

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title_sort	can a satellite-derived estimate of the fraction of par absorbed by chlorophyll (faparchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest?
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title_short	Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPARchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest?
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Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPARchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest?

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