Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination

Rosso, Pablo; Pushnik, James C.; Lay, Mui; Ustin, Susan L.

doi:10.1016/j.envpol.2005.02.025

Cited by 161 publications

(112 citation statements)

References 23 publications

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“…Therefore, the decreased canopy pigment density in this study was the result of decreased biomass, which was associated with the increased mortality. Our result is different from some previous studies relating the decreased leaf pigment concentrations to the effects of pollution (Rosso et al, 2005;Newete et al, 2014). The presence of phenanthrene gradient in the seepweed community, especially the very high residual concentration of phenanthrene in its H treatment with few plants (Figs.…”

Section: Reed (Phragmites Australis)contrasting

confidence: 99%

“…Table 2. The near-infrared reflectance of plants is positively related to aboveground biomass (Rosso et al, 2005;Thenkabail et al, 2000) and affected by leaf morphology and anatomical properties (Gates et al, 1965;Woolley, 1971) such as fractions of intercellular spaces (Rosso et al, 2005). Canopy reflectance of near-infrared light generally responds to environmental stress poorly compared with red reflectance, because canopy reflectance is more affected by bare soil (Zhu et al, 2013).…”

Section: Mechanisms and Potential For Monitoring Plant Stress Using Tmentioning

confidence: 99%

“…Environmental pollution affects plant physiology and growth such as biomass (Rosso et al, 2005;Splajt et al, 2003;Zhu et al, 2013) and chlorophyll content (Mishra et al, 2012;Newete et al, 2014). These parameters are closely related to the change in the canopy reflectance spectra (Rosso et al, 2005;Splajt et al, 2003;Zhu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…These parameters are closely related to the change in the canopy reflectance spectra (Rosso et al, 2005;Splajt et al, 2003;Zhu et al, 2013). Therefore, remote sensing can characterize vegetation stress by recording the spectral signals of plants growing in the polluted environment Zhu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…In order to correctly interpret the information provided by the remote sensors, these mechanisms should be further http://dx.doi.org/10.1016/j.marpolbul.2014.06.046 0025-326X/Ó 2014 Elsevier Ltd. All rights reserved. explored using detail spectral signals obtained at the different scales including canopy (Rosso et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

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Monitoring plant response to phenanthrene using the red edge of canopy hyperspectral reflectance

Zhu

Chen

Wang

et al. 2014

Marine Pollution Bulletin

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a b s t r a c tTo investigate the mechanisms and potential for the remote sensing of phenanthrene-induced vegetation stress, we measured field canopy spectra, and associated plant and soil parameters in the field controlled experiment in the Yellow River Delta of China. Two widely distributed plant communities, separately dominated by reed (Phragmites australis) and glaucous seepweed (Suaeda salsa), were treated with different doses of phenanthrene. The canopy spectral changes of plant community resulted from the decreases of biomass and foliar projective coverage, while leaf photosynthetic pigment concentrations showed no significance difference among treatments. The spectral response to phenanthrene included a flattened red edge, with decreased first derivative of reflectance. The red edge slope and area consistently responded to phenanthrene, showing a strong relationship with aboveground biomass, coverage and canopy pigments density. These results suggest the potential of remote sensing and the importance of field validation to correctly interpret the causes of the spectral changes.

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Section: Reed (Phragmites Australis)contrasting

confidence: 99%

Section: Mechanisms and Potential For Monitoring Plant Stress Using Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring plant response to phenanthrene using the red edge of canopy hyperspectral reflectance

Zhu

Chen

Wang

et al. 2014

Marine Pollution Bulletin

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Two hyperspectral indices for detecting cadmium and lead contamination from arice canopy spectrum

et al. 2020

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Neither Cadmium (Cd) nor lead (Pb) is necessary for crop growth, and they both cause severe soil pollution in many countries. A cross-stress experiment was designed to investigate the feasibility of diagnosing the type and the level of Cd-Pb cross-stress by observing rice canopy hyperspectral images. Two-way analysis of variance and random forest algorithm were employed to select the sensitive indices for Cd-Pb cross-stress diagnosing. Following the exploration of bandwidth expansion from 1 to 20 nm, the final sensitive indices were proposed. We proposed two indices for distinguishing the two heavy metals named: the cadmium stress vegetation index (CSVI) and the lead stress vegetation index (LSVI). The diagnostic accuracies of CSVI distinguishing the four different Cd-stressed levels (0, 2, 5, 8 mg L −1 ) reached 0.85, 0.92, 0.96, and 0.92, respectively, while the precision for four Pb-stressed levels (0, 50,

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Remote Sensing-Based Damage Assessment for Homeland Security

Filippi

2008

The GeoJournal Library

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Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination

Cited by 161 publications

References 23 publications

Monitoring plant response to phenanthrene using the red edge of canopy hyperspectral reflectance

Monitoring plant response to phenanthrene using the red edge of canopy hyperspectral reflectance

Two hyperspectral indices for detecting cadmium and lead contamination from arice canopy spectrum

Remote Sensing-Based Damage Assessment for Homeland Security

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