Using remotely sensed spectral reflectance to indicate leaf photosynthetic efficiency derived from active fluorescence measurements

Yi Peng, Aoli Zeng, Tinge Zhu, Shenghui Fang, Yan Gong, Yanqi Tao, Ying Zhou, Kan Liu
2017 Journal of Applied Remote Sensing  
Using remotely sensed spectral reflectance to indicate leaf photosynthetic efficiency derived from active fluorescence measurements," 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
more » ... 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 F v ∕F m . The indices using longwave red edge and NIR reflectance (NDRE 740 and CI 740 ) worked well for F v ∕F m retrieval in both stressed and nonstressed leaves with the coefficients of determination (R 2 ) above 0.72 and normalized root-meansquare errors below 0.16. Note that the relationships NDRE 740 and CI 740 versus F v ∕F m were significantly different between nonstressed and stressed leaves, which may give a good implication to detect short-term stress occurrence.
doi:10.1117/1.jrs.11.026034 fatcat:inyqmupmjfek5oujlwdng5itze