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Sensors 2008, 8(3), 1740-1754; doi:10.3390/s8031740

Assessing Steady-state Fluorescence and PRI from Hyperspectral Proximal Sensing as Early Indicators of Plant Stress: The Case of Ozone Exposure

Remote Sensing of Environmental Dynamics Lab., DISAT, University of Milan-Bicocca, piazza della Scienza 1, 20126 Milano, Italy
CNR, Plant Virology Institute, Milan Unit, Italy
Department of Tree Science, Entomology and Plant Pathology “G. Scaramuzzi”, University of Pisa, Italy
Author to whom correspondence should be addressed.
Received: 31 January 2008 / Accepted: 11 March 2008 / Published: 13 March 2008
(This article belongs to the Special Issue Remote Sensing of Natural Resources and the Environment)
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High spectral resolution spectrometers were used to detect optical signals ofongoing plant stress in potted white clover canopies subjected to ozone fumigation. Thecase of ozone stress is used in this manuscript as a paradigm of oxidative stress. Steadystatefluorescence (Fs) and the Photochemical Reflectance Index (PRI) were investigatedas advanced hyperspectral remote sensing techniques able to sense variations in the excessenergy dissipation pathways occurring when photosynthesis declines in plants exposed to astress agent. Fs and PRI were monitored in control and ozone fumigated canopies during a21-day experiment together with the traditional Normalized Difference Vegetation Index(NDVI) and physiological measurements commonly employed by physiologists to describestress development (i.e. net CO2 assimilation, active fluorimetry, chlorophyll concentrationand visible injuries). It is shown that remote detection of an ongoing stress through Fs andPRI can be achieved in an early phase, characterized by the decline of photosynthesis. Onthe contrary, NDVI was able to detect the stress only when damage occurred. These resultsopen up new possibilities for assessment of plant stress by means of hyperspectral remotesensing.
Keywords: Vegetation stress; hyperspectral remote sensing; PRI; passive fluorescence. Vegetation stress; hyperspectral remote sensing; PRI; passive fluorescence.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Meroni, M.; Rossini, M.; Picchi, V.; Panigada, C.; Cogliati, S.; Nali, C.; Colombo, R. Assessing Steady-state Fluorescence and PRI from Hyperspectral Proximal Sensing as Early Indicators of Plant Stress: The Case of Ozone Exposure. Sensors 2008, 8, 1740-1754.

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