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Journal of Applied Remote Sensing • Open Access

Using remotely sensed spectral reflectance to indicate leaf photosynthetic efficiency derived from active fluorescence measurements
Author(s): Yi Peng; Aoli Zeng; Tinge Zhu; Shenghui Fang; Yan Gong; Yanqi Tao; Ying Zhou; Kan Liu

Paper Abstract

Chlorophyll fluorescence (ChlF) is an important signature of photosynthesis to evaluate plant response to the environment. We explored an approach to estimate an important leaf ChlF-derived parameter, the intrinsic efficiency of photosystem II photochemistry ( F v / F m ), using spectral indices calculated from leaf reflectance measured by a hyperspectral radiometer. It is observed that leaf chlorophyll content closely related to F v / F m in nonstressed leaves, thus the indices developed for chlorophyll estimation were successfully used to estimate F v / F m . For leaves under short-term stress, F v / F m dropped dramatically while leaf chlorophyll content remained almost the same. Compared to leaf chlorophyll content, reflectance was more sensitive to F v / F m variations. As F v / F m decreased, the slope of reflectance in the spectrum range of 700 to 900 nm obviously increased, and the first derivative reflectance in the red edge and infrared (NIR) regions was highly correlated with

Paper Details

Date Published: 19 June 2017
PDF: 14 pages
J. Appl. Rem. Sens. 11(2) 026034 doi: 10.1117/1.JRS.11.026034
Published in: Journal of Applied Remote Sensing Volume 11, Issue 2
Show Author Affiliations
Yi Peng, Wuhan Univ. (China)
Aoli Zeng, Wuhan Univ. (China)
Tinge Zhu, Wuhan Univ. (China)
Southwest Research Institute of Electronics Equipment (China)
Shenghui Fang, Wuhan Univ. (China)
Yan Gong, Wuhan Univ. (China)
Yanqi Tao, Wuhan Univ. (China)
Ying Zhou, Wuhan Univ. (China)
Kan Liu, Wuhan Institute of Physics and Mathematics (China)

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