Relevant bibliographies by topics / Chlorophyll fluorescence and reflectance retrieval

Academic literature on the topic 'Chlorophyll fluorescence and reflectance retrieval'

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Published: 10 March 2023

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Journal articles on the topic "Chlorophyll fluorescence and reflectance retrieval"

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Kritten, Lena, Rene Preusker, and Jürgen Fischer. "A New Retrieval of Sun-Induced Chlorophyll Fluorescence in Water from Ocean Colour Measurements Applied on OLCI L-1b and L-2." Remote Sensing 12, no. 23 (December 2, 2020): 3949. http://dx.doi.org/10.3390/rs12233949.

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The retrieval of sun-induced chlorophyll fluorescence is greatly beneficial to studies of marine phytoplankton biomass, physiology, and composition, and is required for user applications and services. Customarily phytoplankton chlorophyll fluorescence is determined from satellite measurements through a fluorescence line-height algorithm using three bands around 680 nm. We propose here a modified retrieval, making use of all available bands in the relevant wavelength range, with the goal to improve the effectiveness of the algorithm in optically complex waters. For the Ocean and Land Colour Instrument (OLCI), we quantify a Fluorescence Peak Height by fitting a Gaussian function and related terms to the top-of-atmosphere reflectance bands between 650 and 750 nm. This algorithm retrieves, what we call Fluorescence Peak Height by fitting a Gaussian function upon other terms to top-of-atmosphere reflectance bands between 650 and 750 nm. This approach is applicable to Level-1 and Level-2 data. We find a good correlation of the retrieved fluorescence product to global in-situ chlorophyll measurements, as well as a consistent relation between chlorophyll concentration and fluorescence from radiative transfer modelling and OLCI/in-situ comparison. Evidence suggests, the algorithm is applicable to complex waters without needing an atmospheric correction and vicarious calibration, and features an inherent correction of small spectral shifts, as required for OLCI measurements.
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Ni, Zhuoya, Qifeng Lu, Hongyuan Huo, and Huili Zhang. "Estimation of Chlorophyll Fluorescence at Different Scales: A Review." Sensors 19, no. 13 (July 8, 2019): 3000. http://dx.doi.org/10.3390/s19133000.

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Measuring chlorophyll fluorescence is a direct and non-destructive way to monitor vegetation. In this paper, the fluorescence retrieval methods from multiple scales, ranging from near the ground to the use of space-borne sensors, are analyzed and summarized in detail. At the leaf-scale, the chlorophyll fluorescence is measured using active and passive technology. Active remote sensing technology uses a fluorimeter to measure the chlorophyll fluorescence, and passive remote sensing technology mainly depends on the sun-induced chlorophyll fluorescence filling in the Fraunhofer lines or oxygen absorptions bands. Based on these retrieval principles, many retrieval methods have been developed, including the radiance-based methods and the reflectance-based methods near the ground, as well as physically and statistically-based methods that make use of satellite data. The advantages and disadvantages of different approaches for sun-induced chlorophyll fluorescence retrieval are compared and the key issues of the current sun-induced chlorophyll fluorescence retrieval algorithms are discussed. Finally, conclusions and key problems are proposed for the future research.
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Tenjo, Carolina, Antonio Ruiz-Verdú, Shari Van Wittenberghe, Jesús Delegido, and José Moreno. "A New Algorithm for the Retrieval of Sun Induced Chlorophyll Fluorescence of Water Bodies Exploiting the Detailed Spectral Shape of Water-Leaving Radiance." Remote Sensing 13, no. 2 (January 19, 2021): 329. http://dx.doi.org/10.3390/rs13020329.

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Sun induced chlorophyll fluorescence (SICF) emitted by phytoplankton provides considerable insights into the vital role of the carbon productivity of the earth’s aquatic ecosystems. However, the SICF signal leaving a water body is highly affected by the high spectral variability of its optically active constituents. To disentangle the SICF emission from the water-leaving radiance, a new high spectral resolution retrieval algorithm is presented, which significantly improves the fluorescence line height (FLH) method commonly used so far. The proposed algorithm retrieves the reflectance without SICF contribution by the extrapolation of the reflectance from the adjacent regions. Then, the SICF emission curve is obtained as the difference of the reflectance with SICF, the one actually obtained by any remote sensor (apparent reflectance), and the reflectance without SICF, the one estimated by the algorithm (true reflectance). The algorithm first normalizes the reflectance spectrum at 780 nm, following the similarity index approximation, to minimize the variability due to other optically active constituents different from chlorophyll. Then, the true reflectance is estimated empirically from the normalized reflectance at three wavelengths using a machine learning regression algorithm (MLRA) and a cubic spline fitting adjustment. Two large reflectance databases, representing a wide range of coastal and ocean water components and scattering conditions, were independently simulated with the radiative transfer model HydroLight and used for training and validation of the MLRA fitting strategy. The best results for the high spectral resolution SICF retrieval were obtained using support vector regression, with relative errors lower than 2% for the SICF peak value in 81% of the samples. This represents a significant improvement with respect to the classic FLH algorithm, applied for OLCI bands, for which the relative errors were higher than 40% in 59% of the samples.
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Pacheco-Labrador, Hueni, Mihai, Sakowska, Julitta, Kuusk, Sporea, et al. "Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers." Remote Sensing 11, no. 8 (April 22, 2019): 960. http://dx.doi.org/10.3390/rs11080960.

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Growing interest in the proximal sensing of sun‐induced chlorophyll fluorescence (SIF) has been boosted by space-based retrievals and up-coming missions such as the FLuorescence EXplorer (FLEX). The European COST Action ES1309 “Innovative optical tools for proximal sensing of ecophysiological processes” (OPTIMISE, ES1309; https://optimise.dcs.aber.ac.uk/) has produced three manuscripts addressing the main current challenges in this field. This article provides a framework to model the impact of different instrument noise and bias on the retrieval of SIF; and to assess uncertainty requirements for the calibration and characterization of state-of-the-art SIF-oriented spectroradiometers. We developed a sensor simulator capable of reproducing biases and noises usually found in field spectroradiometers. First the sensor simulator was calibrated and characterized using synthetic datasets of known uncertainties defined from laboratory measurements and literature. Secondly, we used the sensor simulator and the characterized sensor models to simulate the acquisition of atmospheric and vegetation radiances from a synthetic dataset. Each of the sensor models predicted biases with propagated uncertainties that modified the simulated measurements as a function of different factors. Finally, the impact of each sensor model on SIF retrieval was analyzed. Results show that SIF retrieval can be significantly affected in situations where reflectance factors are barely modified. SIF errors were found to correlate with drivers of instrumental-induced biases which are as also drivers of plant physiology. This jeopardizes not only the retrieval of SIF, but also the understanding of its relationship with vegetation function, the study of diel and seasonal cycles and the validation of remote sensing SIF products. Further work is needed to determine the optimal requirements in terms of sensor design, characterization and signal correction for SIF retrieval by proximal sensing. In addition, evaluation/validation methods to characterize and correct instrumental responses should be developed and used to test sensors performance in operational conditions.
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Xinjie Liu and Liangyun Liu. "Improving Chlorophyll Fluorescence Retrieval Using Reflectance Reconstruction Based on Principal Components Analysis." IEEE Geoscience and Remote Sensing Letters 12, no. 8 (August 2015): 1645–49. http://dx.doi.org/10.1109/lgrs.2015.2417857.

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Gilerson, Alexander, Jing Zhou, Min Oo, Jacek Chowdhary, Barry M. Gross, Fred Moshary, and Samir Ahmed. "Retrieval of chlorophyll fluorescence from reflectance spectra through polarization discrimination: modeling and experiments." Applied Optics 45, no. 22 (August 1, 2006): 5568. http://dx.doi.org/10.1364/ao.45.005568.

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7

De Grave, Charlotte, Luca Pipia, Bastian Siegmann, Pablo Morcillo-Pallarés, Juan Pablo Rivera-Caicedo, José Moreno, and Jochem Verrelst. "Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor." Remote Sensing 13, no. 8 (April 7, 2021): 1419. http://dx.doi.org/10.3390/rs13081419.

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ESA’s Eighth Earth Explorer mission “FLuorescence EXplorer” (FLEX) will be dedicated to the global monitoring of the chlorophyll fluorescence emitted by vegetation. In order to properly interpret the measured fluorescence signal, essential vegetation variables need to be retrieved concomitantly. FLEX will fly in tandem formation with Sentinel-3 (S3), which conveys the Ocean and Land Color Instrument (OLCI) that is designed to characterize the atmosphere and the terrestrial vegetation at a spatial resolution of 300 m. In support of FLEX’s preparatory activities, this paper presents a first validation exercise of OLCI vegetation products against in situ data coming from the 2018 FLEXSense campaign. During this campaign, leaf chlorophyll content (LCC) and leaf area index (LAI) measurements were collected over croplands, while HyPlant DUAL images of the area were acquired at a 3 m spatial resolution. A multiscale validation strategy was pursued. First, estimates of these two variables, together with the combined canopy chlorophyll content (CCC = LCC × LAI), were obtained at the HyPlant spatial resolution and were compared against the in situ measurements. Second, the fine-scale retrieval maps from HyPlant were coarsened to the S3 spatial scale as a reference to assess the quality of the OLCI vegetation products. As an intermediary step, vegetation products extracted from Sentinel-2 data were used to compare retrievals at the in-between spatial resolution of 20 m. For all spatial scales, CCC delivered the most accurate estimates with the smallest prediction error obtained at the 300 m resolution (R2 of 0.74 and RMSE = 26.8 μg cm−2). Results of a scaling analysis suggest that CCC performs well at the different tested spatial resolutions since it presents a linear behavior across scales. LCC, on the other hand, was poorly retrieved at the 300 m scale, showing overestimated values over heterogeneous pixels. The introduction of a new LCC model integrating mixed reflectance spectra in its training enabled to improve by 16% the retrieval accuracy for this variable (RMSE = 10 μg cm−2 for the new model versus RMSE = 11.9 μg cm−2 for the former model).
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Zou, Tianyuan, and Jing Zhang. "A New Fluorescence Quantum Yield Efficiency Retrieval Method to Simulate Chlorophyll Fluorescence under Natural Conditions." Remote Sensing 12, no. 24 (December 11, 2020): 4053. http://dx.doi.org/10.3390/rs12244053.

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Chlorophyll fluorescence (ChlF) is a useful indicator of plant photosynthesis and stress conditions. ChlF spectra can be simulated with the Fluspect model, which is a radiative transfer model that simulates leaf reflectance, transmittance, and fluorescence; however, it has never been used or validated under natural conditions. In this paper, a new fluorescence quantum yield efficiency of photosystem (FQE) retrieval method based on the Fluspect model is proposed for use in simulating ChlF in two healthy varieties of soybeans grown under natural conditions. The parameters, Chlorophyll a + b content (Cab), carotenoid (Cca), dry matter content (Cdm), indicator of leaf water content (Cw) and leaf mesophyll structure (N) and the simulated fluorescence from the experiment were compared with the measured values to validate the model under natural conditions. The results show a good correlation (coefficient of determination R2 = 0.7–0.9) with the measured data at wavelengths of 650–880 nm. However, there is a large relative error (RE) that extends up to 150% at the peak of the fluorescence curve. To improve the accuracy of the simulation, an inversion code containing the emission efficiency parameters for photosystems I and II was added, which retrieves FQE I and II from the measured fluorescence spectra. The evaluation results for all wavelengths and two peaks demonstrated a significant reduction in the error at the peak of the curve by the Fluspect model with the FQE inversion code. This new method reduced the overestimation of fluorescence from 150% to 20% for the RE, and the R2 value was higher than 0.9 at the spectra peaks. Additionally, the original plant parameter information remained mostly unchanged upon the addition of the inversion code.
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Cogliati, Sergio, Marco Celesti, Ilaria Cesana, Franco Miglietta, Lorenzo Genesio, Tommaso Julitta, Dirk Schuettemeyer, et al. "A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance." Remote Sensing 11, no. 16 (August 7, 2019): 1840. http://dx.doi.org/10.3390/rs11161840.

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Retrieval of Sun-Induced Chlorophyll Fluorescence (F) spectrum is one of the challenging perspectives for further advancing F studies towards a better characterization of vegetation structure and functioning. In this study, a simplified Spectral Fitting retrieval algorithm suitable for retrieving the F spectrum with a limited number of parameters is proposed (two parameters for F). The novel algorithm is developed and tested on a set of radiative transfer simulations obtained by coupling SCOPE and MODTRAN5 codes, considering different chlorophyll content, leaf area index and noise levels to produce a large variability in fluorescence and reflectance spectra. The retrieval accuracy is quantified based on several metrics derived from the F spectrum (i.e., red and far-red peaks, O2 bands and spectrally-integrated values). Further, the algorithm is employed to process experimental field spectroscopy measurements collected over different crops during a long-lasting field campaign. The reliability of the retrieval algorithm on experimental measurements is evaluated by cross-comparison with F values computed by an independent retrieval method (i.e., SFM at O2 bands). For the first time, the evolution of the F spectrum along the entire growing season for a forage crop is analyzed and three diverse F spectra are identified at different growing stages. The results show that red F is larger for young canopy; while red and far-red F have similar intensity in an intermediate stage; finally, far-red F is significantly larger for the rest of the season.
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Zheng, Wei, Xia Lu, Yu Li, Shan Li, and Yuanzhi Zhang. "Hyperspectral Identification of Chlorophyll Fluorescence Parameters of Suaeda salsa in Coastal Wetlands." Remote Sensing 13, no. 11 (May 24, 2021): 2066. http://dx.doi.org/10.3390/rs13112066.

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The stomata of Suaeda salsa are closed and the photosynthetic efficiency is decreased under conditions of water–salt imbalance, with the change to photosynthesis closely related to the chlorophyll fluorescence parameters of the photosystem PSII. Accordingly, chlorophyll fluorescence parameters were selected to monitor the growth status of Suaeda salsa in coastal wetlands under conditions of water and salt. Taking Suaeda salsa in coastal wetlands as the research object, we set up five groundwater levels (0 cm, –5 cm, –10 cm, –20 cm, and –30 cm) and six NaCl salt concentrations (0%, 0.5%, 1 %, 1.5%, 2%, and 2.5%) to carry out independent tests of Suaeda salsa potted plants and measured the canopy reflectance spectrum and chlorophyll fluorescence parameters of Suaeda salsa. A polynomial regression method was used to carry out hyperspectral identification of Suaeda salsa chlorophyll fluorescence parameters under water and salt stress. The results indicated that the chlorophyll fluorescence parameters Fv/Fm, Fm', and ΦPSII of Suaeda salsa showed significant relationships with vegetation index under water and salt conditions. The sensitive canopy band ranges of Suaeda salsa under water and salt conditions were 680–750 nm, 480–560 nm, 950–1000 nm, 1800–1850 nm, and 1890–1910 nm. Based on the spectrum and the first-order differential spectrum, the spectral ratio of A/B was constructed to analyze the correlation between it and the chlorophyll fluorescence parameters of Suaeda salsa. We constructed thirteen new vegetation indices. In addition, we discovered that the hyperspectral vegetation index D690/D1320 retrieved Suaeda chlorophyll fluorescence parameter Fv/Fm with the highest accuracy, with a multiple determination coefficient R2 of 0.813 and an RMSE of 0.042, and that D725/D1284 retrieved Suaeda chlorophyll fluorescence parameter ΦPSII model with the highest accuracy, with a multiple determination coefficient R2 of 0.848 and an RMSE of 0.096. The hyperspectral vegetation index can be used to retrieve the chlorophyll fluorescence parameters of Suaeda salsa in coastal wetlands under water and salt conditions, providing theoretical and technical support for future large-scale remote sensing inversion of chlorophyll fluorescence parameters.
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Dissertations / Theses on the topic "Chlorophyll fluorescence and reflectance retrieval"

1

Rubis, Kathryn. "Shrubs as Sentinels of Ordnance Contamination: Using Plant Physiology and Remote Sensing to Detect TNT in Soils." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/276.

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Methods for rapid, safe and effective detection of unmapped buried ordnance are vital to the protection of humans and environmental quality throughout the world. This study aimed to investigate the use of phytosensing and to understand the physiological response of woody plants to 2,4,6-trinitrotoluene (TNT) contamination. Baccharis halimifolia were potted in soils containing various concentrations of TNT and physiological responses were observed over a 9-week experimental period. Measurements included the collection of remotely sensed data, such as hyperspectral reflectance and chlorophyll fluorescence, and traditional plant-level physiological data. In accordance with the hypothesis, low levels of TNT improved physiological response in plants due to the slight increase in nitrogen, while high levels of TNT induced stress. Key markers in stress responses were identified, specifically with reflectance indices and derivatives, which may separate TNT-contaminated plants from naturally stressed plants and would allow for accurate detection of buried ordnance at the landscape level.
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2

FORTUNATO, COSIMO. "From inversion processes optimization to model optimization." Doctoral thesis, 2013. http://hdl.handle.net/2158/799891.

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The present work traces a path in the context of inverse problems, within a more general framework of complex systems. In our case, the inverse problem originates from the need to interpret indirect physical measurements of an object of interest. Moving in this area two cases are brought to the attention. The first is the estimation of the parameters of a mathematical model, based on a comparison with experimental measurements. The second tries to identify what it might be called the "best model" that takes into account the experimental behavior recorded in various situations of interest. The first case relates to the recovery of the fluorescence and reflectance of maize chlorophyll. The second case addressed concerns the development of a model that takes into account the effects of silanization in aggregates and dispersed laser-activatable gold nanorods.
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3

Chen, Yaw-Nan, and 陳耀南. "The chlorophyll fluorescence and leaf reflectance spectra characteristics among different ecophysiological behavior plants." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/53928819798218020759.

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碩士
國立中興大學
生命科學系
92
In order to understand the chlorophyll fluorescence and leaf reflectance spectral characteristics among species, 12 species with different elevation distribution and temperature adaptation were used. The experiments were made in the campus of National Chung Hsing University (78 m), Hui-Sun Forest Station (800 m), and Tatachia area (2600 m). The results indicated that the PSII efficiency estimated from chlorophyll fluorescence parameters of Pinus taiwanensis (conifer) was lesser influenced by the low temperature and high illumination than those of 2 Miscanthus (C4) species when they were measured in Tatachia. Among 2 Miscanthus species, low elevation origin M. floridulus was more influenced by low temperature than that of high elevation origin M. transomrrisonensis. In Tatachia, transplanted M. floridulus showed lower photochemical reflectance index (PRI) calculated from leaf reflectance spectra in the winter, indicating it required higher xanthophyll cycle to dissipate more excess absorbed energy due to PSII efficiency were more inhibited by low temperature. It also found that no difference of potential of PSII efficiency (Fv/Fm) between flatland and crest line grew P. taiwanensis in Hui-Sun Forest Station. However the PRI of crest line grew P. taiwanensis was lower than that of flatland grown in dry season, probably due to the difference of water condition between 2 habitats. It showed positive correlation between photosynthesis capacity (Pn) and electron transport rate (ETR) for C4 species. This regression coefficient was higher in the species with higher photosynthetic capacity, and no significant correlation could be found in Miscanthus, which showed the lowest Pn among 5 tested C4 species. When merged together of 5 C4 species to statistic analysis, the leaf with higher photosynthetic capacity showed higher portion of absorbed light energy for photochemical (P), and low portion for non-photochemical (D) dissipations. The slope between Pn and P, as well as Pn and D were decreasing with PAR increased. However, the portion of excess energy was not influenced by PAR. From November to December, which daily minimum temperature ranging from 11.6oC to 22.4oC, predawn Fv/Fm of mango (Mangifera indica, cv. Aiwen) and Podocarpus nagi decrease with low temperature, and mango was more influenced than P. nagi. On the contrary, predawn Fv/Fm of Taiwan alder (Alnus formosana) was lesser influenced by temperature. Nevertheless, predawn Fv/Fm showed a strong significant correlation with predawn PRI (PRIp) for statistical analysis when merged together of 3 species. Therefore PRIp could be used as an indicator to estimate the seasonal variation of the potential photochemical efficiency of PSII. Both Fv/Fm and Ф (actual PSII efficiency) showed significant curvilinear correlation with PRI (PRIn) when 3 species were merged together for statistical analysis which data measured at noon. However, more strong correlation between Fv/Fm and ΔPRI (PRIp - PRIn) as well as between Ф and ΔPRI were found. In addition, non photochemical quenching (NPQ) did not correlated with PRIn, but significant correlated with ΔPRI. Thus ΔPRI is suit to indicate the actual dissipation of the excess energy as well as PSII efficiency during illumination. As a conclusion, both chlorophyll fluorescence parameters and leaf reflectance spectra indexes are powerful tools for ecophysiological study.
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Kao, Shin-Chang, and 高世昌. "The chlorophyll fluorescence and reflectance spectra characteristics of Coleus blumei under different light condition." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/35809164282325612410.

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Abstract:
碩士
國立中興大學
生命科學院碩士在職專班
94
Abstract： In order to estimate the chlorophyll and anthocyanin concentration by non-invasive technique and to elucidate the responses of leaves with different pigments under visible light and ultraviolet-B（280~320 nm）illumination. Three Coleus blumei varieties（Blumei Benth, Wiazrd Rose and Solenostemon Scutellaroides ）were selected as materials and their reflectance spectra and chlorophyll fluorescence in both red portion（high anthocyanin concentration） and green portion（no anthocyanin）of leaves were measured. Results indicate that the reflectance indices [（R750-800/ R695-740）-1] and [（R750–R705）/（R750﹢R705）] were close related to total chlorophyll concentration in both red and green portion of C. blumei leaves, and the assessment of total anthocyanin concentration was more related to the index of [（R700-710/R550-570）-1]. Almost the green portion of leaves with higher chlorophyll concentration showed the same level of the maximum efficiency of PSⅡ （Fv/Fm）, the fraction of light absorbed that is utilized in photosynthetic electron transport（P）, and non-photochemical fluorescence quenching（NPQ） as the lower chlorophyll concentration ones, when treated with different light intensities （200, 400, 800, 1200 and 2000 μmol m-2s-1PPFD） for 20 mininutes. However the excess absorption energy（E）of both portion of leaves decreased with increasing chlorophyll concentration. It could be considered that the leaves with lower chlorophyll concentration could avoid absorbing excess energy by higher reflectance and transmittance between 400-700 nm, on the contrary the leaves with higher chlorophyll concentration have higher efficiency of PSⅡ to minimize excess energy. For red portion, which P was higher and D and E were lower than the green portion. But there was no significant difference in NPQ between two portions. It seems due to the higher PSⅡ efficiency by higher chlorophyll concentration, and the masking effect of anthocyanin in epidermis in red portion rather than inducing more efficiency of xanthophyll cycle. The reflectance and transmittance between 280-320 nm of both leaf portions were not related to the chlorophyll and anthocyanin concentrations, when both the two portions of leaves were treated with different UV-B doses （17.39, 34.78, 20.21 and 40.42 KJ m-2）. It also showed that the anthocyanin concentration in red portion decreased with increasing UV-B dose, but which Fv/Fm was still higher than that of green portion. Indicating the PSⅡ of red portion showed better performance under UV-B illumination was due to the degradation of anthocyanin in epidermis rather than its masking effect.
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5

Chung, Ji-chy, and 鐘基啟. "A study of spectral reflectance and chlorophyll fluorescence of leaves under the different environment conditions." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/96076499225577292635.

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碩士
國立中興大學
植物學系
89
In order to understand whether the spectral reflectance and chlorophyll fluorescence (Fv/Fm) of the leaves are useful indicators on monitoring photosynthetic capacity of plants. In various environment conditions some plant physiological indices were used to study. At Tataka area, six subalpine species exhibited remarkable variations for photosynthetic capacity and Fv/Fm. The dR408/dR677 based on the first derivative of reflectance was strongly related to the seasonal variation of chlorophyll fluorescence ( R2 = 0.964, p <0.001).While the dR483/dR688 and dR468/dR531 ratio were significantly related to photosynthetic capacity. The index calculated by 716 nm and 731 nm [(R731-R716)/(R731+R716)] was strongly related to the content of chlorophyll a, b, a + b and total carotenoid. At winter on the Taichung city the responses of chlorophyll fluorescence to temperature and solar radiation were varied with the plants. However 528 nm and (dR716-R496)/(R716+R496) were the most important waveband and index to evaluate the variation of Fv/Fm on Mangifera indica and Decussocarpus nagi. At water deficit photosynthetic capacity and stomatal conductance reduced by decreasing soil water potential. The wavelength position of near-infrared was well related to the variation of leaf water potential. As the result, the first derivative of 464 nm, 716 nm and 725 nm had significant relationship of leaf water potential (p< 0.001). The reflectance of 810 nm was the most sensitive to evaluate the variation of soil potential. And R771 was significant correlated to relative photosynthesis and relative stomatal conductance. It was concluded that spectral reflectance and chlorophyll fluorescence are sensitive indicators to determine the responses of plant under different environment factors. It indicates that spectral reflectance and chlorophyll fluorescence are the useful tools on monitoring the variation of plant physiological efficiency under seasonal conditions and stress.
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6

Feng-Chi, Shih, and 石峰吉. "The chlorophyll fluorescence and leaf reflectance spectra characteristics amorg different Chinese kale （Brassica oleracea L.var.alboglabra） with Various Leaf Colors." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/78018783384465471102.

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Abstract:
碩士
國立中興大學
生命科學院碩士在職專班
93
Abstract In order to understand the chlorophyll fluorescence and leaf reflectance spectral of leaves with different leaf color, 3 varieties of Brassica oleracea ( dark-green, green and light-green ) were used to study. The results showed that the ‘light-green’ leaves had lower both chlorophyll (Chl) and carotenoid (Caro) content, but their Caro/Chl ratio were higher than that of other varieties, and the Chl a/b was no significant difference among varieties. When merged together the results measured from 3 varieties of B. oleracea to statistical analysis, it was found that Fo ( minimum chlorophyll fluorescence ), Fm ( maximum chlorophyll fluorescence ) and Fv/Fm ( maximum photosystem II photochemical efficiency, Fv=Fm-Fo ) showed curvilinear relationships with the increasing of both chlorophyll and carotenoid content, but negative linear relationships was observed between the fluorescence parameters and Caro/Chl ratio. As well, the ‘light-green’ leaves had lower Fo , Fm and Fv/Fm. Comparison of the relationships between fluorescence parameters and photochemical reflectance index ( PRI, PRI=(R531-R570)/(R531+R570) ) . It was found that P ( fraction of light absorbed in PSⅡ antennae that is utilized in photosynthetic electron transport ) decreased gradually with photosynthetic photon flux density（PPFD）increasing, on the contrary, both D (fraction of light absorbed in PSⅡantennae that is dissipated via thermal energy dissipation in the antennae ) and NPQ (non-photochemical quenching) increased gradually with PPFD increasing. While E (fraction of excess absorbed in PSⅡantennae) increased slightly with PPFD increasing, PRI decreased gradually with light increasing. Under the same PPFD condition, the leaves with higher chlorophyll content showed higher photosynthetic capacity and P, less D , E , NPQ and PRI. Three B. oleracea studied, maintained their Fv/Fm about 0.8 at predawn, however, Fv/Fm decreased to 0.2 when leaves treaded with after 2000 μmolm-2s-1 PPFD for 2 h, and ‘light-green’ leaves showed more decreased than that of other varieties. This result indicated that the ‘light-green’ leaves might sensitive to high light. From autumn (October ) to early spring (February ), predawn Fv/Fm value of 3 B. oleracea reduced slightly（0.86-0.80）with minimum temperature decreasing. However, under higher PPFD , ‘light-green’ leaves showed higher degree of photoinhibition (lower Fv/Fm), and higher ΔFv/Fm, NPQ, NPQs. Compared both fluorescence parameters（∆Fv/Fm、Fv'/Fm'、Φ and NPQ 、NPQf、NPQs）and PRI, much better relationships tend to exist at the ΔPRI. Thus ΔPRI is suit to indicate the actual dissipation of the excess energy as well as PSⅡefficiency during illumination.
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7

Jiang, Jhong-Ying, and 江忠穎. "The chlorophyll fluorescence and leaf reflectance spectra characteristics among Sweet potato（Ipomoea batatas (L.) Lam.）genotypes with various leaf colors." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/46240758088745804052.

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Abstract:
碩士
國立中興大學
生命科學系所
95
In order to understand the chlorophyll fluorescence and reflectance spectral characteristics of leaves with different leaf color, 3 sweet potato (Ipomoea batatas) cultivars (yellow-green, green and purple) were used to study. The results indicated that the contents of chlorophyll (Chl a+b), carotenoid (Caro), ascorbate (AsA) and the photosynthetic capacity (measured at 2000 μmolm-2s-1 PPFD) as well as antenna size of yellow-green cultivar were lower, but Chl a/b, Caro/Chl and inactive PSII was higher than those of green cultivar. The reflection and transmission rates of leaves were higher in yellow-green, followed green and lower in purple cultivar, and thease two rates increasing with the increase of chlorophyll content. And the Chl a+b content of three cultivars could be estimated from the leaf reflectance spectra index [(R750-800/R695-740)-1] and [(R750-R705)/(R750+R705)]. Under controlled temperature and irradiance conditions, the fraction of light absorbed in PSII antennae that is utilized in photosynthetic electron transport (P) of yellow-green and green cultivar under high-level fertilizer was higher than no fertilizer, while the fraction of light absorbed in PSII antennae that is dissipated via thermal energy dissipation in the antennae (D) was just the opposite. Under middle-level fertilizer, P was increased but D was decreased with the increase of temperature. That was low nitrogen and low temperature could reduce P, sweet potato leaf might up-regulate its D to avoid the damage due to excess light energy. Under low temperature (10℃) and high irradiance (2000 μmolm-2s-1) for 30 minutes, the non-photochemical quenching (NPQ) and the energy-dependent quenching (qE) of yellow-green was lower, but the photoinhibition quenching (qI) was higher than those of green cultivar. There fore, under low temperature and high light, the maximum photochemical efficiency of photosystem II (Fv/Fm) was lower in yellow-green cultivar. Under natural conditions, it also showed that, at predawn, Fv/Fm value and photochemical reflectance index [PRI=(R531-R570)/(R531+R570)] were reduced with the decrease of minimum temperature of measured day, and the decrease of Fv/Fm and PRI were most drastic in yellow-green cultivar. At midday Fv/Fm and ΔF/Fm’ were reduced with the increase of PPFD, and yellow-green cultivar showed a drastic decline in Fv/Fm especially under high PPFD. Compared at a same level of NPQ, the fast non-photochemical quenching (NPQf) of yellow-green cultivar was lower than that of green and purple cultivars. In addition, yellow-green cultivar also showed lower D and the fraction of excess absorbed in PS II antennae (E) when compared at a same level of P, and leaded to the higher degree of photoinhibition under lower temperature and higher light conditions. It might due to the lower contents of Caro and AsA in yellow-green cultivar leading lower NPQf and antioxidation. Compared to the relationships between two fluorescence parameters (ΔF/Fm’ and NPQ) and PRI, higher regression coefficient could be found between two fluorescence parameters and normalized ΔPRI [(PRI morning – PRI noon) / PRI morning or PRI noon]. Thus the normalized ΔPRI was more fitted for estimate the efficiency of photosynthesis and non-photochemical quenching in yellow-green and green cultivars.
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Palovská, Markéta. "Analýza primárních fotosyntetických procesů u jehličnanů: srovnání vybraných metod a možné využití při studiu genetické variability." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-267938.

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Conifers are important both ecologically and socioeconomically, however, same parts of their biology are not that well researched. This includes genetics and breeding and partly even physiology. Because quantitative genetic analyzes applied in breeding necessitate an analysis of a large number of samples, and conventional methods of analysis are quite time-consuming, certain parameters describing e.g. the activity of photosynthetic electron-transport chain (ETC) are considered for such use. Several methods of the measurement of the activity of photosynthetic ETC exist, but there are some problems with their usage in conifers. I studied this issue from different points of view in three parts of this thesis. 1) I compared the photosynthetic ETC activity in 8 species of conifers using chlorophyll (Chl) fluorescence measurements on intact needles and polarographic measurements in isolated chloroplasts. Each method brought different information. 2) I measured Chl fluorescence parameters, reflectance spectra and pigment content in 536 genetically defined trees of Pinus sylvestris L. Many parameters showed relatively high genetic variability and heritability. I have also determined the suitability of various reflectance indices to estimate pigment and water content of needles. 3) I have optimized the...
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Panchártek, Daniel. "Analýza parametrů, u nichž se předpokládá souvislost se suchovzdorností, u různých genotypů čiroku." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-322066.

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The aims of this work were 1) to assess whether sorghum (Sorghum bicolor (L.) Moench) genotypes originating from the India can be grown and analyzed in the climatic conditions of central Europe and 2) to find out the utilization potential of selected non- destructive and destructive methods based mostly on the chlorophyll a fluorescence measurements and the determination of photosynthetic pigments' content for the differentiation of sorghum genotypes based on their presumed drought tolerance. Field experiments made during 2 years compared 15 genotypes of this species (2 stay-green parental lines, 2 senescent parental lines and 11 introgression lines with stay-green loci), 2 of these genotypes were further analyzed in greenhouse conditions where the water deficit was induced by a cessation of watering for 12 days. The field-grown plants showed some differences between individual genotypes in all measured parameters; however, for the majority of the genotypes these differences were not statistically significant. The stay-green parental genotype B35 differred the most from the other ones in both field seasons, but the other stay-green genotypes usually did not differ from the senescent genotypes. No significant differences between both greenhouse-tested genotypes (presumably contrasting in their...
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Book chapters on the topic "Chlorophyll fluorescence and reflectance retrieval"

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Buschmann, Claus, and Hartmut K. Lichtenthaler. "Reflectance and Chlorophyll Fluorescence Signatures of Leaves." In Applications of Chlorophyll Fluorescence in Photosynthesis Research, Stress Physiology, Hydrobiology and Remote Sensing, 325–32. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2823-7_40.

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Buschmann, C., A. A. Gitelson, and H. K. Lichtenthaler. "Retrieval of the Actually Emitted Chlorophyll Fluorescence of Leaves." In Photosynthesis: Mechanisms and Effects, 4285–88. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-3953-3_990.

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Baret, F., G. Guyot, and D. Major. "Coupled Fluorescence and Reflectance Measurements to Improve Crop Productivity Evaluation." In Applications of Chlorophyll Fluorescence in Photosynthesis Research, Stress Physiology, Hydrobiology and Remote Sensing, 319–24. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2823-7_39.

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Zarco-Tejada, Pablo J., John R. Miller, and Gina H. Mohammed. "Remote Sensing of Solar-Induced Chlorophyll Fluorescence from Vegetation Hyperspectral Reflectance and Radiative Transfer Simulation." In From Laboratory Spectroscopy to Remotely Sensed Spectra of Terrestrial Ecosystems, 233–69. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-1620-8_11.

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Di Cicco, Annalisa, Remika Gupana, Alexander Damm, Simone Colella, Federico Angelini, Luca Fiorani, Florinda Artuso, et al. "“Flex 2018” Cruise: an opportunity to assess phytoplankton chlorophyll fluorescence retrieval at different observative scales." In Proceedings e report, 688–97. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-147-1.68.

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The “FLEX 2018” cruise, organized by the CNR-ISMAR in frame of the ESA “FLEXSense Campaign 2018” and CMEMS project, provided a ground station for several bio-optical instruments that investigated the coastal waters of the Tyrrhenian Sea in June 2018. The field measurements were performed in time synergy with Sentinel 3A and Sentinel 3B satellites and HyPlant airborne imaging spectrometer. Active and passive fluorescence were investigated at different scales in coastal waters to support preparatory activities of the FLuorescence EXplorer (FLEX) satellite mission.
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Frankenberg, C., and J. Berry. "Solar Induced Chlorophyll Fluorescence: Origins, Relation to Photosynthesis and Retrieval." In Comprehensive Remote Sensing, 143–62. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-409548-9.10632-3.

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Conference papers on the topic "Chlorophyll fluorescence and reflectance retrieval"

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Vilfan, Nastassia, Christiaan van der Tal, Peiqi Yang, and Wouter Verhoef. "Retrieving Photosynthetic Capacity Parameter from Leaf Photochemical Reflectance and Chlorophyll Fluorescence." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517912.

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Middleton, E., L. Corp, C. Daughtry, and P. Campbell. "Chlorophyll Fluorescence Emissions of Vegetation Canopies From High Resolution Field Reflectance Spectra." In 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.1042.

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Fearns, Peter R., and Mervyn J. Lynch. "Retrieval of chlorophyll concentration via inversion of ocean reflectance: a modeling approach." In Ocean Optics XIII, edited by Steven G. Ackleson and Robert J. Frouin. SPIE, 1997. http://dx.doi.org/10.1117/12.266474.

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Middleton, Elizabeth M., Lawrence A. Corp, Craig S. Daughtry, Petya K. Entcheva Campbell, and L. Maryn Butcher. "Deriving chlorophyll fluorescence emissions of vegetation canopies from high resolution field reflectance spectra." In Optics East 2005, edited by Yud-Ren Chen, George E. Meyer, and Shu-I. Tu. SPIE, 2005. http://dx.doi.org/10.1117/12.631159.

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Naumann, Julie C., Kathryn Rubis, and Donald R. Young. "Fusing chlorophyll fluorescence and plant canopy reflectance to detect TNT contamination in soils." In SPIE Defense, Security, and Sensing, edited by Russell S. Harmon, John H. Holloway, Jr., and J. Thomas Broach. SPIE, 2010. http://dx.doi.org/10.1117/12.851220.

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Hu, Hao, and Shibo Fang. "Relation of leaf image, chlorophyll fluorescence, reflectance and SPAD in rice and barley." In 2013 Second International Conference on Agro-Geoinformatics. IEEE, 2013. http://dx.doi.org/10.1109/argo-geoinformatics.2013.6621873.

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Fell, Frank, Juergen Fischer, Michael Schaale, and Thomas Schroeder. "Retrieval of chlorophyll concentration from MERIS measurements in the spectral range of sun-induced chlorophyll fluorescence." In Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, edited by Robert J. Frouin, Yeli Yuan, and Hiroshi Kawamura. SPIE, 2003. http://dx.doi.org/10.1117/12.467267.

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Li, Shilei, Maofang Gao, Ya Gao, Sibo Duan, Xiaojing Han, and Zhao-Liang Li. "Sun-induced Chlorophyll Fluorescence Retrieval from Chinese TanSat in Southeast China." In 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring). IEEE, 2019. http://dx.doi.org/10.1109/piers-spring46901.2019.9017421.

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Mazzoni, M., P. Falorni, D. Guzzi, I. Pippi, and W. Verhoef. "A spectral fitting model for chlorophyll fluorescence retrieval at global scale." In 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5416946.

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Lv, Jie, and Zhenguo Yan. "Retrieval of chlorophyll content in maize from leaf reflectance spectra using wavelet analysis." In International Symposium on Optoelectronic Technology and Application 2014, edited by Jannick P. Rolland, Changxiang Yan, Dae Wook Kim, Wenli Ma, and Ligong Zheng. SPIE, 2014. http://dx.doi.org/10.1117/12.2073113.

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