4.3 Article

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

期刊

JOURNAL OF APPLIED REMOTE SENSING
卷 11, 期 -, 页码 -

出版社

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.JRS.11.026034

关键词

chlorophyll fluorescence; chlorophyll content; photosynthesis; vegetation indices; short-term stress

资金

  1. National Defense Project, China [30Y20A29-9003-15/17]
  2. National 863 Project of China [2013AA102401]
  3. Science Supporting Project of Hubei Province [2015BCE045]
  4. National Natural Science Foundation of China [41401390]

向作者/读者索取更多资源

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 F-v/F-m. The indices using longwave red edge and NIR reflectance (NDRE740 and CI740) 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 NDRE740 and CI740 versus F-v/F-m were significantly different between nonstressed and stressed leaves, whichmay give a good implication to detect short-term stress occurrence. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.

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