Literature DB >> 18976842

Using optical remote sensing techniques to track the development of ozone-induced stress.

Michele Meroni1, Cinzia Panigada, Micol Rossini, Valentina Picchi, Sergio Cogliati, Roberto Colombo.   

Abstract

In this paper, a literature review about optical remote sensing (RS) of O(3) stress is presented. Studies on O(3)-induced effects on vegetation reflectance have been conducted since late '70s based on the analysis of optical RS data. Literature review reveals that traditional RS techniques were able to detect changes in leaf and canopy reflectance related to O(3)-induced stress when visible symptoms already occurred. Only recently, advanced RS techniques using hyperspectral sensors, demonstrated the feasibility of detecting the stress in its early phase by monitoring excess energy dissipation pathways such as chlorophyll fluorescence and non-photochemical quenching (NPQ). Steady-state fluorescence (Fs), measured by exploiting the Fraunhofer line depth principle and NPQ related xanthophyll-cycle, estimated through the photochemical reflectance index (PRI) responded to O(3) fumigation before visible symptoms occurred. This opens up new possibilities for the early detection of vegetation O(3) stress by means of hyperspectral RS.

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Year:  2008        PMID: 18976842     DOI: 10.1016/j.envpol.2008.09.018

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  5 in total

1.  Using leaf optical properties to detect ozone effects on foliar biochemistry.

Authors:  Elizabeth A Ainsworth; Shawn P Serbin; Jeffrey A Skoneczka; Philip A Townsend
Journal:  Photosynth Res       Date:  2013-05-09       Impact factor: 3.573

2.  Reflectance spectroscopy: a novel approach to better understand and monitor the impact of air pollution on Mediterranean plants.

Authors:  Lorenzo Cotrozzi; Philip A Townsend; Elisa Pellegrini; Cristina Nali; John J Couture
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-11       Impact factor: 4.223

3.  Let's exploit available knowledge on vegetation fluorescence.

Authors:  Federico Magnani; Sabrina Raddi; Gina Mohammed; Elizabeth M Middleton
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-03       Impact factor: 11.205

4.  High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance.

Authors:  Craig R Yendrek; Tiago Tomaz; Christopher M Montes; Youyuan Cao; Alison M Morse; Patrick J Brown; Lauren M McIntyre; Andrew D B Leakey; Elizabeth A Ainsworth
Journal:  Plant Physiol       Date:  2016-11-15       Impact factor: 8.005

5.  Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral Imagery.

Authors:  Zhuoya Ni; Zhigang Liu; Zhao-Liang Li; Françoise Nerry; Hongyuan Huo; Rui Sun; Peiqi Yang; Weiwei Zhang
Journal:  Sensors (Basel)       Date:  2016-04-06       Impact factor: 3.576

  5 in total

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