Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks

Smith, K. L.; Steven, M. D.; Colls, J. J.

doi:10.1016/j.rse.2004.06.002

Cited by 333 publications

(198 citation statements)

References 28 publications

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“…Three peaks were also found by different researchers . Furthermore, four peaks at 702, 718, 725 and 735 nm were identified between 680 and 750 nm (Smith et al, 2004). We also found three peaks located at 700, 717 and 723 nm.…”

Section: Mechanisms and Potential For Monitoring Plant Stress Using Tsupporting

confidence: 58%

“…3. The real values are presented in Table 2. foliar or canopy red reflectance could respond to stress with a consistent increase (Carter, 1993;Smith et al, 2004). However, the canopy reflectance of seepweed community at 680 nm in treatment M was only slightly higher compared with that in treatment L (Fig.…”

Section: Mechanisms and Potential For Monitoring Plant Stress Using Tmentioning

confidence: 89%

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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: Mechanisms and Potential For Monitoring Plant Stress Using Tsupporting

confidence: 58%

Section: Mechanisms and Potential For Monitoring Plant Stress Using Tmentioning

confidence: 89%

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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“…As the REP of the grassland in the Lagrangian method goes towards shorter wavelength and lower reflectance than the Linear method, it can be concluded that the Lagrangian approach offers more accurate results than the Linear method in estimating grassland, because the derivative approaches (Lagrangian technique) minimizes the soil background reflectance effects [27,[50][51][52][53][54][55] . In classifying different ages of coniferous species, both methods offer the same results in extracting REP for different ages of coniferous species.…”

Section: Performance Of the Lagrangian Interpolation Techniquementioning

confidence: 99%

Hyperspectral Remote Sensing of Vegetation Using Red Edge Position Techniques

Shafri¹,

Salleh²,

Ghiyamat³

2006

American J. of Applied Sciences

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Two red edge position (REP) techniques, Linear and Lagrangian, were applied on hyperspectral data acquired from the HyMap sensor for a forested area in Thetford Forest, UK. Red edge positions of different vegetation covers were extracted with the two approaches from the hyperspectral data. Based on the estimated REPs, the Linear and Lagrangian interpolation methods were compared with ground reference image to analyse different vegetation types and ages. Experimental results of both interpolation techniques indicate that the wavelength and reflectance of REP for younger plants (higher chlorophyll content) shift towards longer wavelength and of higher reflectance in comparison with older plants (lower chlorophyll content).

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“…The MSI red-edge bands are centered at 705 nm, 740 nm, and 783 nm, and are not present on the MSI heritage Landsat and Satellite Pour l'Observation de la Terre (SPOT) sensors. The red-edge encompasses the rapid change in vegetation reflectance from the red to the near infrared and is of interest for studies of chlorophyll and nitrogen content [3][4][5], leaf area index [6][7][8], and vegetation stress [9], and also may be useful for certain classification applications such as for burned area mapping [10,11].…”

Section: Introductionmentioning

confidence: 99%

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

Roy

Zhang

2017

Remote Sensing

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Optical wavelength satellite data have directional reflectance effects over non-Lambertian surfaces, described by the bidirectional reflectance distribution function (BRDF). The Sentinel-2 multi-spectral instrument (MSI) acquires data over a 20.6 • field of view that have been shown to have non-negligible BRDF effects in the visible, near-infrared, and short wave infrared bands. MSI red-edge BRDF effects have not been investigated. In this study, they are quantified by an examination of 6.6 million (January 2016) and 10.7 million (April 2016) pairs of forward and back scatter reflectance observations extracted over approximately 20 • × 10 • of southern Africa. Non-negligible MSI red-edge BRDF effects up to 0.08 (reflectance units) across the 290 km wide MSI swath are documented. A recently published MODIS BRDF parameter c-factor approach to adjust MSI visible, near-infrared, and short wave infrared reflectance to nadir BRDF-adjusted reflectance (NBAR) is adapted for application to the MSI red-edge bands. The red-edge band BRDF parameters needed to implement the algorithm are provided. The parameters are derived by a linear wavelength interpolation of fixed global MODIS red and NIR BRDF model parameters. The efficacy of the interpolation is investigated using POLDER red, red-edge, and NIR BRDF model parameters, and is shown to be appropriate for the c-factor NBAR generation approach. After adjustment to NBAR, red-edge MSI BRDF effects were reduced for the January data (acquired close to the solar principal where BRDF effects are maximal) and the April data (acquired close to the orthogonal plane) for all the MSI red-edge bands.

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Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks

Cited by 333 publications

References 28 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

Hyperspectral Remote Sensing of Vegetation Using Red Edge Position Techniques

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

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