Literature DB >> 18164750

Contribution of chlorophyll fluorescence to the apparent vegetation reflectance.

P K Entcheva Campbell1, E M Middleton, L A Corp, M S Kim.   

Abstract

Current strategies for monitoring the physiologic status of terrestrial vegetation rely on remote sensing reflectance data, which provide estimates of vigor based primarily on chlorophyll content. Chlorophyll fluorescence (ChlF) measurements offer a non-destructive alternative and a more direct approach for diagnosis of vegetation stress before a significant reduction in chlorophyll content has occurred. Thus, technology based on ChlF may allow more accurate carbon sequestration estimates and earlier stress detection than is possible when using reflectance data alone. However, the observed apparent vegetation reflectance (Ra) in reality includes contributions from both the reflected and fluoresced radiation. The aim of this study is to determine the relative contributions of reflectance and ChlF fractions to Ra in the red to near-infrared region (650-800 nm) of the spectrum. The practical objectives of the study are to: 1) evaluate the relationship between ChlF and reflectance at the foliar level for corn, soybean and maple; and 2) for corn, determine if the relationship established for healthy vegetation changes under nitrogen (N) deficiency. To obtain generally applicable results, experimental measurements were conducted on unrelated crop and tree species (corn, soybean and maple) under controlled conditions and a gradient of inorganic N fertilization levels. Optical reflectance spectra and actively induced ChlF emissions were collected on the same foliar samples, in conjunction with measurements of photosynthetic function, pigment levels, and carbon (C) and N content. The spectral trends were examined for similarities. On average, 10-20% of Ra at 685 nm was actually due to ChlF. The spectral trends in steady state and maximum fluorescence varied significantly, with steady state fluorescence (especially red, 685 nm) showing higher ability for species and treatment separation. The relative contribution of ChlF to Ra varied significantly among species, with maple emitting much higher fluorescence amounts, as compared to corn and soybean. Steady state fluorescence from individual red and far-red emission bands (F685 and F740, respectively) and their ratio consistently enabled species separation. For corn, the relative ChlF fraction increased in concert with the nutrient stress levels from <2% for non-stressed foliage to >7% for severely N deficient plants. Steady state ChlF at 685 nm provided optimal N treatment separation. This study confirms the trends in the steady state red/far-red ratio (F685s/F740s) associated with N deficiency and vegetation stress, previously established using active single narrow band excitation.

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Year:  2007        PMID: 18164750     DOI: 10.1016/j.scitotenv.2007.11.004

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress.

Authors:  Gina H Mohammed; Roberto Colombo; Elizabeth M Middleton; Uwe Rascher; Christiaan van der Tol; Ladislav Nedbal; Yves Goulas; Oscar Pérez-Priego; Alexander Damm; Michele Meroni; Joanna Joiner; Sergio Cogliati; Wouter Verhoef; Zbyněk Malenovský; Jean-Philippe Gastellu-Etchegorry; John R Miller; Luis Guanter; Jose Moreno; Ismael Moya; Joseph A Berry; Christian Frankenberg; Pablo J Zarco-Tejada
Journal:  Remote Sens Environ       Date:  2019-07-13       Impact factor: 10.164

2.  Evaluation of Plant Stress Monitoring Capabilities Using a Portable Spectrometer and Blue-Red Grow Light.

Authors:  Trina Merrick; Ralf Bennartz; Maria Luisa S P Jorge; Stephanie Pau; John Rausch
Journal:  Sensors (Basel)       Date:  2022-04-29       Impact factor: 3.847

3.  Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature.

Authors:  Shawn P Serbin; Dylan N Dillaway; Eric L Kruger; Philip A Townsend
Journal:  J Exp Bot       Date:  2011-10-06       Impact factor: 6.992

4.  Estimating chlorophyll content and photochemical yield of photosystem II (ΦPSII) using solar-induced chlorophyll fluorescence measurements at different growing stages of attached leaves.

Authors:  Bayaer Tubuxin; Parinaz Rahimzadeh-Bajgiran; Yusaku Ginnan; Fumiki Hosoi; Kenji Omasa
Journal:  J Exp Bot       Date:  2015-06-12       Impact factor: 6.992

5.  The Solar-Induced Chlorophyll Fluorescence Imaging Spectrometer (SIFIS) Onboard the First Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1): Specifications and Prospects.

Authors:  Shanshan Du; Liangyun Liu; Xinjie Liu; Xinwei Zhang; Xianlian Gao; Weigang Wang
Journal:  Sensors (Basel)       Date:  2020-02-03       Impact factor: 3.576

6.  Reconstructed Solar-Induced Fluorescence: A Machine Learning Vegetation Product Based on MODIS Surface Reflectance to Reproduce GOME-2 Solar-Induced Fluorescence.

Authors:  P Gentine; S H Alemohammad
Journal:  Geophys Res Lett       Date:  2018-04-13       Impact factor: 4.720

  6 in total

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