Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects

Zarco‐Tejada, Pablo J.; Pushnik, James C.; Dobrowski, Solomon Z.; Ustin, Susan L.

doi:10.1016/s0034-4257(02)00113-x

Cited by 302 publications

(158 citation statements)

References 26 publications

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“…The red edge is also closely related to chlorophyll fluorescence (Zarco-Tejada et al, 2003), a powerful and widely used technique to detect plant stress (Maxwell and Johnson, 2000). Therefore, the red edge may be a general indicator of plant status by integrating multiple plant responses including biochemistry, physiology, growth and mortality .…”

Section: Mechanisms and Potential For Monitoring Plant Stress Using Tmentioning

confidence: 99%

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 Tmentioning

confidence: 99%

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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“…The existence of peaks, including the red edge peak, in the FDR curves can be attributed to the characteristic absorption spectrum of chlorophyll [56], with a possible contribution from chlorophyll fluorescence [57]. The red edge peak feature can be used to identify bio-indicators.…”

Section: Reasons For the Spectrum Seasonal Variationmentioning

confidence: 99%

Narrowband Bio-Indicator Monitoring of Temperate Forest Carbon Fluxes in Northeastern China

Wang

Mickler

et al. 2014

Remote Sensing

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Developments in hyperspectral remote sensing techniques during the last decade have enabled the use of narrowband indices to evaluate the role of forest ecosystem variables in estimating carbon (C) fluxes. In this study, narrowband bio-indicators derived from EO-1 Hyperion data were investigated to determine whether they could capture the temporal variation and estimate the spatial variability of forest C fluxes derived from eddy covariance tower data. Nineteen indices were divided into four categories of optical indices: broadband, chlorophyll, red edge, and light use efficiency. Correlation tests were performed between the selected vegetation indices, gross primary production (GPP), and ecosystem respiration (Re). Among the 19 indices, five narrowband indices (Chlorophyll Index RedEdge 710, scaled photochemical reflectance index (SPRI)*enhanced vegetation index (EVI), SPRI*normalized difference vegetation index (NDVI), MCARI/OSAVI [705, 750] and the Vogelmann Index), and one broad band index (EVI) had R-squared values with a good fit for GPP and Re. The SPRI*NDVI has the highest significant coefficients of determination OPEN ACCESSRemote Sens. 2014, 6 8987 with GPP and Re (R 2 = 0.86 and 0.89, p < 0.0001, respectively). SPRI*NDVI was used in atmospheric inverse modeling at regional scales for the estimation of C fluxes. We compared the GPP spatial patterns inversed from our model with corresponding results from the Vegetation Photosynthesis Model (VPM), the Boreal Ecosystems Productivity Simulator model, and MODIS MOD17A2 products. The inversed GPP spatial patterns from our model of SPRI*NDVI had good agreement with the output from the VPM model. The normalized difference nitrogen index was well correlated with measured C net ecosystem exchange. Our findings indicated that narrowband bio-indicators based on EO-1 Hyperion images could be used to predict regional C flux variations for Northeastern China's temperate broad-leaved Korean pine forest ecosystems.

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“…In Orishele variety, improved effects of mycorrhizae on chlorophyll content and photosynthetic activity appear and are respectively shown by higher value of red-edge spectral feature (RatiodRE_703) and double peak indice (DPI) in T1 and T2 mycorrhized treatments ( Figure 6). Experience conducted by Zarco-Tejada et al (2003) have demonstrated that natural fluorescence emission is observable on the first derivative reflectance spectra as a double-peak feature in the 690-710 nm spectral region. DPI is capable for tracking natural steady-state fluorescence and is closely related to photosynthetic activity so that DPI is low when photosynthetic rates are high.…”

Section: Spectral Responses To Plantain Mycorrhizal Treatmentmentioning

confidence: 99%

Fluorescence and Reflectance Spectroscopy for Early Detection of Different Mycorrhized Plantain Plants

Dibi¹,

Fotso²,

Brou³

et al. 2016

APR

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Sustainable agriculture with use of Arbuscular Mycorrhizal Fungi (AMF) is an emerging farm management that improves crops nutrient and water use efficiency. Decision making on the effect of AMF is still dependent on agronomic diagnosis which is long, tedious, expensive and destructive. This study demonstrates the applicability of proximal fluorescence and reflectance spectroscopy for evaluating and detecting at early stage distinct types of mycorrhized plantain from two cultivars (Musa paradisiaca).Visible-near infrared (400-1000 nm) reflectance and fluorescence data were collected from control and three levels mycorrhized plants designed in randomized and complete block under greenhouse conditions. Two spectral measurements at a week interval were performed on plant leaves by using an USB spectrometer mounted with an Arduino-based LED driver clip.A new normalized reflectance water NWI5 index shows with Datt5 alone highly significant differences at P<0.001 respectively for Orishele and fhia21 cultivars. dNIRmin920_980, NDVI3 and GI reflectance index are significant at P<0.01. Seven other reflectance and 3 fluorescence indices ANTH, FRF_R and NBI_R are significant at P<0.05. The two first principal components for each cultivar spectral features explaining 94.1 % of variance were used to build predictive classification models. LogitBoost algorithm indicates accuracy of 90.27% on stratified cross-validation and 87.5% on test split. Our results confirm that fluorescence and reflectance spectroscopy is a valuable tool for early assessment of mycorrhization success rate evaluation and pattern recognition. They also show promise for the development of non-destructive and cost-effective detectors in monitoring crops under biofertilizers with arbuscular mycorrhizae.

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Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects

Cited by 302 publications

References 26 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

Narrowband Bio-Indicator Monitoring of Temperate Forest Carbon Fluxes in Northeastern China

Fluorescence and Reflectance Spectroscopy for Early Detection of Different Mycorrhized Plantain Plants

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