Plant stress detection by remote measurement of fluorescence

Abstract

Chlorophyll fluorescence of mature lemon trees was measured with a Fraunhofer line discriminator (FLD). An increase in fluorescence was correlated with plant water stress as measured by stomatal resistance and twig water potential.

Remote Sensing for Crop Management

“…It should be mentioned that ARS scientists have worked for a number of years with the Environmental Protection Agency (EPA), the U.S. Geological Survey (USGS), and NASA in developing and refining new remote sensing technologies for detecting changes in plant biochemistry, physiology, and metabolism [e.g., early research using plant fluorescence to detect water stress in citrus (McFarlane et al, 1980)]. These newer approaches using laser induced fluorescence (LIF) have considerable potential for previsual identification of nutrient and water stress and for detecting optimal levels of plant growth and yield under different fertilization rates in the field (Chappelle et al, 1984a;Chappelle et al, 1984b;McMurtrey et al, 1994;McMurtrey et al, 1996;Corp et al, 1997;Daughtry et al, 1997;Daughtry et al, 2000).…”

Tracking photosynthetic injury of Paraquat-treated crop using chlorophyll fluorescence from hyperspectral data

“…Although the observed vegetation reflectance inevitably includes contributions from both reflected and fluoresced radiation, many researchers have proved that it is possible to separate SIF radiation from observed apparent vegetation reflectance. For example, the SIF signals at 656 nm, 687 nm, and 760 nm were successfully separated from the observed apparent vegetation reflectance based on the Fraunhofer-line principle [Mcfarlane et al, 1980;Carter et al, 1996;Liu et al, 2005;Amoros-Lopez et al, 2008]. Furthermore, Guanter et al [2007] proved for the first time that spaceborne estimation of chlorophyll fluorescence is feasible by coupling an atmospheric correction scheme during the SIF retrieval.…”

Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence

“…Previous studies show a strong relationship between the rate of photosynthesis and solar-induced fluorescence (SIF) observations and indicate that the plant fluorescence measurements can be a useful proxy for photosynthesis estimation (Flexas et al, 2002;Govindjee et al, 1981;Havaux and Lannoye, 1983;van Kooten and Snel, 1990;Krause and Weis, 1991;McFarlane et al, 1980;Toivonen and Vidaver, 1988;van der Tol et al, 2009). Recently, satellite observations of SIF have become available, opening new possibilities for the global monitoring of photosynthesis (Frankenberg et al, 2011Guanter et al, 2012;Joiner et al, 2013;Schimel et al, 2015;Xu et al, 2015).…”