A comparison of the predictive potential of various vegetation indices for leaf chlorophyll content
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
http://link.springer.com/content/pdf/10.1007/s12145-016-0281-3.pdf
Reference47 articles.
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4. Croft H, Chen JM, Zhang Y (2014) The applicability of empirical vegetation indices for determining leaf chlorophyll content over different leaf and canopy structures. Ecol Complex 17:119–130
5. Croft H, Chen JM, Zhang Y, Simic A, Noland TL, Nesbitt N, Arabian J (2015) Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework. ISPRS J Photogramm Remote Sens 102:85–95
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