Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework

Gespeichert in:

Autor*in:	Croft, H [verfasserIn] Chen, J.M Zhang, Y Simic, A Noland, T.L Nesbitt, N Arabian, J

Format:	Artikel
Sprache:	Englisch

Erschienen:	2015

Übergeordnetes Werk:	Enthalten in: ISPRS journal of photogrammetry and remote sensing - Amsterdam [u.a.] : Elsevier, 1989, 102(2015), Seite 85-95
Übergeordnetes Werk:	volume:102 ; year:2015 ; pages:85-95

Links:	Volltext

DOI / URN:	10.1016/j.isprsjprs.2015.01.008

Katalog-ID:	OLC1962963101

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title	Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework
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title_short	Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework
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