Relevant bibliographies by topics / Sun-induced chlorophyll fluorescence

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Sun-induced chlorophyll fluorescence'

Author: Grafiati
Published: 9 March 2023
Last updated: 25 May 2024

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Journal articles on the topic "Sun-induced chlorophyll fluorescence"

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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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Irteza, S. M., and J. E. Nichol. "MEASUREMENT OF SUN INDUCED CHLOROPHYLL FLUORESCENCE USING HYPERSPECTRAL SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 911–13. http://dx.doi.org/10.5194/isprs-archives-xli-b8-911-2016.

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Solar Induced Chlorophyll Fluorescence (SIF), can be used as an indicator of stress in vegetation. Several scientific approaches have been made and there is considerable evidence that steady state Chlorophyll fluorescence is an accurate indicator of plant stress hence a reliable tool to monitor vegetation health status. Retrieval of Chlorophyll fluorescence provides an insight into photochemical and carbon sequestration processes within vegetation. Detection of Chlorophyll fluorescence has been well understood in the laboratory and field measurement. Fluorescence retrieval methods were applied in and around the atmospheric absorption bands 02B (Red wavelength) approximately 690 nm and 02A (Far red wavelengths) 740 nm. Hyperion satellite images were acquired for the years 2012 to 2015 in different seasons. Atmospheric corrections were applied using the 6S Model. The Fraunhofer Line Discrimanator (FLD) method was applied for retrieval of SIF from the Hyperion images by measuring the signal around the absorption bands in both vegetated and non vegetated land cover types. Absorption values were extracted in all the selected bands and the fluorescence signal was detected. The relationships between NDVI and Fluorescence derived from the satellite images are investigated to understand vegetation response within the absorption bands.
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Irteza, S. M., and J. E. Nichol. "MEASUREMENT OF SUN INDUCED CHLOROPHYLL FLUORESCENCE USING HYPERSPECTRAL SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 911–13. http://dx.doi.org/10.5194/isprsarchives-xli-b8-911-2016.

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Solar Induced Chlorophyll Fluorescence (SIF), can be used as an indicator of stress in vegetation. Several scientific approaches have been made and there is considerable evidence that steady state Chlorophyll fluorescence is an accurate indicator of plant stress hence a reliable tool to monitor vegetation health status. Retrieval of Chlorophyll fluorescence provides an insight into photochemical and carbon sequestration processes within vegetation. Detection of Chlorophyll fluorescence has been well understood in the laboratory and field measurement. Fluorescence retrieval methods were applied in and around the atmospheric absorption bands 02B (Red wavelength) approximately 690 nm and 02A (Far red wavelengths) 740 nm. Hyperion satellite images were acquired for the years 2012 to 2015 in different seasons. Atmospheric corrections were applied using the 6S Model. The Fraunhofer Line Discrimanator (FLD) method was applied for retrieval of SIF from the Hyperion images by measuring the signal around the absorption bands in both vegetated and non vegetated land cover types. Absorption values were extracted in all the selected bands and the fluorescence signal was detected. The relationships between NDVI and Fluorescence derived from the satellite images are investigated to understand vegetation response within the absorption bands.
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Fournier, A., F. Daumard, S. Champagne, A. Ounis, Y. Goulas, and I. Moya. "Effect of canopy structure on sun-induced chlorophyll fluorescence." ISPRS Journal of Photogrammetry and Remote Sensing 68 (March 2012): 112–20. http://dx.doi.org/10.1016/j.isprsjprs.2012.01.003.

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Marler, Thomas E., and Patrick D. Lawton. "Movement Influences Carambola Leaflet Chlorophyll Fluorescence and Temperature under Sunny Conditions." Journal of the American Society for Horticultural Science 120, no. 2 (March 1995): 360–61. http://dx.doi.org/10.21273/jashs.120.2.360.

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Leaflets of `Arkin', `B-10', `Kary', and `Sri Kembangan' carambola (Averrhoa carambola L.) trees were restrained in a horizontal position for 3.5 h during midday under full sun conditions to determine the influence of overriding natural leaflet movement on adaxial chlorophyll fluorescence and temperature. Induced chlorophyll fluorescence obtained after 30 minutes of dark adaptation following the period of full sun exposure was affected by leaflet movement. Restrained leaflets exhibited a variable fluorescence (Fv)/peak fluorescence (Fm) of 0.48, while that of unrestrained leaflets was 0.65. Adaxial leaflet temperature of restrained leaflets was 6C higher than that of leaflets that were allowed to move. The influence of leaflet movement on temperature or chlorophyll fluorescence was not different among the four cultivars. However, mean Fv/Fm of `Kary' and `Sri Kembangan' was lower than that of `B-10'. Our results indicate that the ability of carambola to change leaflet angle leads to lower temperature and higher photochemical efficiency than occurs when leaflets are not allowed to move naturally (vertically orient) under full sun conditions.
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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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Migliavacca, Mirco, Lianhong Gu, Jeffrey D. Woods, and Georg Wohlfahrt. "Editorial special issue: Advancing foundational sun-induced chlorophyll fluorescence science." Agricultural and Forest Meteorology 337 (June 2023): 109499. http://dx.doi.org/10.1016/j.agrformet.2023.109499.

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Li, Shilei, Maofang Gao, and Zhao-Liang Li. "Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite." Sensors 21, no. 14 (July 18, 2021): 4886. http://dx.doi.org/10.3390/s21144886.

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A series of algorithms for satellite retrievals of sun-induced chlorophyll fluorescence (SIF) have been developed and applied to different sensors. However, research on SIF retrieval using hyperspectral data is performed in narrow spectral windows, assuming that SIF remains constant. In this paper, based on the singular vector decomposition (SVD) technique, we present an approach for retrieving SIF, which can be applied to remotely sensed data with ultra-high spectral resolution and in a broad spectral window without assuming that the SIF remains constant. The idea is to combine the first singular vector, the pivotal information of the non-fluorescence spectrum, with the low-frequency contribution of the atmosphere, plus a linear combination of the remaining singular vectors to express the non-fluorescence spectrum. Subject to instrument settings, the retrieval was performed within a spectral window of approximately 7 nm that contained only Fraunhofer lines. In our retrieval, hyperspectral data of the O2-A band from the first Chinese carbon dioxide observation satellite (TanSat) was used. The Bayesian Information Criterion (BIC) was introduced to self-adaptively determine the number of free parameters and reduce retrieval noise. SIF retrievals were compared with TanSat SIF and OCO-2 SIF. The results showed good consistency and rationality. A sensitivity analysis was also conducted to verify the performance of this approach. To summarize, the approach would provide more possibilities for retrieving SIF from hyperspectral data.
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Kohler, Philipp, Luis Guanter, and Christian Frankenberg. "Simplified physically based retrieval of sun-induced chlorophyll fluorescence from GOSAT data." IEEE Geoscience and Remote Sensing Letters 12, no. 7 (July 2015): 1446–50. http://dx.doi.org/10.1109/lgrs.2015.2407051.

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Yang, Peiqi, and Christiaan van der Tol. "Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance." Remote Sensing of Environment 209 (May 2018): 456–67. http://dx.doi.org/10.1016/j.rse.2018.02.029.

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Dissertations / Theses on the topic "Sun-induced chlorophyll fluorescence"

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Balde, Hamadou. "Remote sensing of laser- and sun-induced chlorophyll fluorescence for studying water and carbon functioning in terrestrial ecosystems." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS674.pdf.

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La fluorescence chlorophyllienne induite par le soleil (SIF) est désormais utilisée comme outil pour suivre la production primaire brute (GPP) du couvert végétal de différents écosystèmes. La SIF est importante pour comprendre le cycle global du carbone dans un contexte de changements climatiques. Cependant, l’usage de la SIF pour suivre les variations de la GPP est entravée par des facteurs confondants (propriétés biochimiques des feuilles, facteurs abiotiques, etc.). Dans cette thèse, on propose d’utiliser des observations à plusieurs échelles [satellitaires (TROPOMI et MODIS) et au sol] de la SIF, de réflectance, de la GPP et du rendement de la fluorescence chlorophyllienne par mesure active (FyieldLIF), utile pour observer les variations physiologiques de la végétation, afin d’abord 1) d’évaluer la force des liens GPP-SIF et de prédire la GPP à l’aide de mesures spatiales ; ensuite, 2) d’examiner les liens FyieldLIF-SIFy (SIF normalisé par le rayonnement photosynthétiquement actif, PAR) et les effets de structure du couvert végétal sur la SIF; et enfin 3) d’explorer l’influence de la structure de la canopée et des facteurs abiotiques sur les variations de la SIF et de la GPP et sur leurs liens. On constate que la force et la nature des liens GPP-TROPOMI SIF sur 40 sites de tours à flux dépendent du site et du type de végétation, reflétant l’hétérogénéité spatiale et temporelle de la couverture végétale du pixel TROPOMI. En outre, les mesures satellitaires de la SIF et de la réflectance prédisent plus de 80 % des variations de la GPP. Toutefois, on remarque que les réflectances à différentes bandes prises ensemble prédisent mieux la GPP que TROPOMI SIF, mais l’importance relative montre que la SIF est la variable la plus importante pour prédire la GPP (SIF plus les indices de végétation (VIs) comme variables explicatives). Ce résultat soutient qu’à des échelles spatiales larges la réflectance pourrait être utilisée pour estimer la GPP et que l’usage de la SIF comme proxy de la GPP soulève la question de savoir si l’information physiologique liée à la photosynthèse issue de la SIF pourrait être détectée à cette échelle. Par ailleurs, à partir de mesures au sol effectuées à Fontainebleau-Barbeau, on montre que FyieldLIF n’est pas corrélé avec SIFy à l’échelle diurne à cause des effets de géométrie d’éclairement. On constate aussi que les dynamiques diurnes de la SIF et du PAR décorrèlent lors des jours de ciel clair, montrant les effets de l’ombre sur la SIF. On montre aussi que la SIF et la réflectance peuvent être utilisées pour prédire FyieldLIF, tandis Φk (SIFy/FyieldLIF) (indicateur de l’interaction structure-éclairement) est corrélé à la réflectance et à la géométrie de la canopée. On souligne que les liens GPP-SIF et leurs variations dépendent de l’échelle temporelle considérée. Particulièrement, à l’échelle saisonnière, on observe que les variations de GPP, SIF, SIFy et FyieldLIF répondent au développement structurel et biochimique des canopées, ainsi qu’aux facteurs abiotiques. Lors des vaques de chaleurs, on constate que la SIF et les VIs (NDVI, NIRv et mNDI) d’une part et la SIF et le PAR d’autre part ne sont pas corrélés, tandis que GPP, SIF et FyieldLIF diminuent fortement. Ceci indique que SIF et FyieldLIF peuvent être utilisés pour suivre la photosynthèse du couvert en conditions de stress alors que les VIs ne peuvent pas. Cette réponse spécifique de la SIF et FyieldLIF comparée aux VIs souligne l’intérêt croissant de l’usage de la SIF comme proxy de la GPP dans des conditions climatiques changeantes. Toutefois, à l’échelle diurne, les interactions entre structure de la canopée et géometrie d’éclairement contrôlent les variations de la SIF, de la GPP et de la relation GPP-SIF. On recommande l’usage de la synergie réflectance-SIF et des mesures actives pour mieux comprendre les variations de la SIF et son lien avec la GPP sur d’autres types de couverts végétaux
Sun-Induced chlorophyll Fluorescence (SIF) is used as a tool to monitor Gross Primary Production (GPP) across different ecosystems. SIF is important to understand the global carbon cycle under changing climate conditions. However, the use of SIF to probe variations in GPP is challenged by confounding factors (canopy biochemical properties, abiotic factors, etc.). In this thesis, we proposed to use multiple scale measurements (spaceborne with the TROPOMI and MODIS sensors, and ground-based) of SIF, reflectance, GPP, and active chlorophyll fluorescence yield (FyieldLIF), useful to observe the physiological variations of the vegetation. In order, first, to evaluate the strength and the nature of the relationship between GP-SIF and to predict GPP using remote sensing metrics; second, to examine the relationship between FyieldLIF and SIFy (SIF normalized by the photosynthetically active radiation, PAR) and the effects of canopy structure and sun-canopy geometry on SIF signal, and third, to explore the influence of canopy structure, light intensity and abiotic factors on SIF and GPP variations and on their links. We found that the strength and the nature of the links between GPP and TROPOMI SIF, across forty flux sites, depend on sites and vegetation types. Further, combined use of SIF and reflectance from satellite observations predicted over 80% of GPP variations. However, we observed that daily surface reflectance at different bands when taken as a whole outperformed daily TROPOMI SIF in predicting GPP, but the relative importance of variables in the random forest model using SIF and VIs (NDVI, PRI and NIRv) as inputs to predict GPP shows that SIF is the most important variable for predicting GPP. This result indicates that at a broad spatial scale, reflectances could be used to predict GPP and the use of SIF as a proxy of GPP raises the question of whether the physiological information related to photosynthesis contained in SIF could be detected at this scale. Based on top-of-canopy measurements in Fontainebleau-Barbeau, we show that active FyieldLIF was not correlated with passive SIFy at the diurnal timescale due to sun-canopy geometry effects. We also observed that the diurnal patterns in SIF and PAR did not match under clear sky conditions, underlining the effects of shadows on the measured canopy SIF. We also showed that the SIF and the reflectance can be used to predict FyieldLIF, while Φk =SIFy/FyieldLIF (an indicator of the interaction between canopy structure and irradiance geometry) is strongly correlated with reflectance and sun-canopy geometry. The analyses show that the links between GPP and SIF and their variations, resulting from ground-based measurements, depend on the temporal scale considered. More specifically, at the seasonal scale, we observed that variations in GPP, SIF, SIFy and FyieldLIF respond to the structural and biochemical development of canopies and to variations in abiotic factors, especially during the heatwaves in 2022. During these extreme weather conditions, we observed that, on one hand, SIF and VIs (NDVI, NIRv and mNDI), and on the other hand, SIF and PAR are not correlated, while GPP, SIF and FyieldLIF strongly decreased. This indicates that SIF and FyieldLIF can be used to monitor impact on photosynthetic activity under stress conditions, while VIs cannot. This specific response of SIF and FyieldLIF compared to VIs highlights the growing interest in the use of SIF as a proxy of GPP under changing climate conditions. However, at the diurnal scale, the interactions between canopy structure and sun geometry, as well as the light intensity control the variations in SIF and GPP and their links. We strongly recommend the use of the synergy between reflectance, SIF and active fluorescence measurements to better understand the dynamics of SIF and its link to GPP in other vegetation types at the canopy scale
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Walther, Sophia [Verfasser]. "Assessment of the dynamics of terrestrial vegetation using satellite observations of greenness and sun-induced chlorophyll fluorescence / Sophia Walther." Berlin : Freie Universität Berlin, 2019. http://d-nb.info/117715238X/34.

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Walther, Sophia Bettina [Verfasser]. "Assessment of the dynamics of terrestrial vegetation using satellite observations of greenness and sun-induced chlorophyll fluorescence / Sophia Walther." Berlin : Freie Universität Berlin, 2019. http://d-nb.info/117715238X/34.

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JULITTA, TOMMASO. "Optical proximal sensing for vegetation monitoring." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/70505.

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Monitoring vegetation dynamics represents a fundamental practice to evaluate the response of the vegetation to environmental changes. Optical proximal sensed data allow the monitoring of the temporal and spatial variability of vegetation properties under natural conditions. Vegetation optical properties can be used to indirectly derive information about the phenological and/or physiological status of the plants. Optical sensors commonly used in the field can be divided into broadband sensors (usually multispectral, e.g. RGB cameras) and narrowband sensors (both multispectral and hyperspectral devices, e.g. spectroradiometers). The potential applications of these two categories of sensors differ. While broadband sensors have been applied in the last years to track the phenological development of the vegetation, spectroradiometers have been shown to be suitable also for the characterization of plant physiological status. In fact hyperspectral systems provide a more detailed optical characterization of the analysed targets, nevertheless the systems have to be accurately characterized in terms of spectral and radiometric performances in order to obtain repeatable and comparable. The first part of the research has been addressed to the determination of the sources of uncertainty of the optical measurement systems. Several of the most common optical devices available on the market have been characterized and compared. A particular attention has been paid to instrumental differences in the optical components which could affect the radiance measurements. Moreover the performances of spectroradiometers have been evaluated both indoors and outdoors in order to evaluate the impact of sensor characteristics on the estimation of parameters commonly used in vegetation studies. The analysis has been initially focused on the effect of different cosine receptors on the estimation of biochemical and biophysical properties of the vegetation, such as leaf area index and chlorophyll content. In a second step the analysis referred to the impact of instrumental characteristics (mainly spectral resolution and signal to noise ratio) on the estimation of the absolute value of sun-induced chlorophyll fluorescence. The results obtained suggest that instrument components affect the measurements and according to the required parameter estimations accuracy some instruments are more suitable rather than others. The second part of the study has been focused on the use of proximal sensors to monitor the dynamics of terrestrial vegetation. For this purpose both broadband and narrowband sensors have been separately considered. The first analysis referred to the possibility of using broadband imaging systems to investigate the temporal and spatial phenological dynamics of an alpine ecosystem. The phenological analysis has been conducted using a 3-year time series of digital RGB images collected in a grassland site. This spatiotemporal analysis provided interesting insights into the role of plant species composition on phenology in complex ecosystems, such as alpine grasslands. This study case indicates the potential of using RGB digital cameras as a tool for long term phenological monitoring, allowing the spatial characterization of the investigated ecosystem. The possibility of using hyperspectral narrowband sensors to detect vegetation physiological changes was also evaluated. In particular, this analysis focused on the use of sun-induced chlorophyll fluorescence for the early detection of vegetation stress. The study was conducted during a controlled experiment designed to modify the functional status of actual photosynthesis. The results indicate that fluorescence is immediately affected by physiological changes as a demonstration that such estimates can be used to track physiological traits better than traditional remote sensing techniques based on optical broadband vegetation indices.
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Loayza, Loza Hildo. "Suivi expérimental du rendement de fluorescence des couverts végétaux par des techniques actives et passives. Application à la détection du stress hydrique." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS465.

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La fluorescence de la chlorophylle (ChlF) est directement liée au processus photosynthétique. Cependant, au niveau de la canopée, ce lien physiologique entre la fluorescence et la photosynthèse peut être brouillé par les changements structurels de la végétation et les interactions entre la lumière du soleil et la structure 3D de la canopée. De plus, une grande partie de nos connaissances sur la relation entre la fluorescence et l'état physiologique des plantes provient d'études au niveau des feuilles réalisées dans des conditions de laboratoire. La signification physiologique de la ChlF au niveau de la canopée et dans des conditions naturelles est toujours un sujet de recherche majeur. Ce projet doctoral avait pour objectifs : 1. Etude du rendement de fluorescence de la chlorophylle au niveau de la canopée: nous décrivons un nouvel instrument, Ledflex, qui est un micro-LIDAR dédié à effectuer des mesures continues du rendement de fluorescence de la végétation. Ledflex a été appliqué avec succès dans des conditions de plein soleil pour établir la signature du stress hydrique sur la canopée du pois (Pisum Sativum). Dans des conditions bien irriguées, le cycle diurne du rendement de fluorescence observé (Fs) présente une forme en M avec un minimum (Fmin) vers midi supérieur au niveau observé à l’obscurité (Fo). Après plusieurs jours sans irrigation, Fs diminue et Fmin
The chlorophyll fluorescence (ChlF) is directly related to the photosynthetic process. However, at canopy level this physiological link between fluorescence and photosynthesis may be blurred by structural vegetation changes and geometrical effects linked to interactions between sunlight and the three-dimensional structure of the canopy. Furthermore, much of our knowledge about the relationship between fluorescence and the physiological status of plants come from leaf level studies carried out under laboratory conditions. The physiological significance of ChlF at canopy level and under natural conditions is still a major subject of research and a source of uncertainties in the interpretation of SIF. This doctoral project aims were: 1. To study chlorophyll fluorescence yield at canopy level: we describe a new instrument, Ledflex, which is a micro-LIDAR dedicated to perform continuous measurements of vegetation fluorescence yield. Ledflex has been successfully applied under full sunlight conditions to establish the signature of water-stress on a pea (Pisum Sativum) canopy. Under well-watered conditions the Fs diurnal cycle present an M shape with a minimum (Fmin) at noon which is higher than the fluorescence level observed at predawn (Fo). After several days withholding watering, Fs decreases and Fmin
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Wieneke, Sebastian [Verfasser], Karl [Gutachter] Schneider, Susanne [Gutachter] Crewell, and Rascher [Gutachter] Uwe. "Remote sensing of red and far-red sun-induced chlorophyll fluorescence to estimate gross primary productivity and plant stress in sugar beet / Sebastian Wieneke ; Gutachter: Karl Schneider, Susanne Crewell, Rascher Uwe." Köln : Universitäts- und Stadtbibliothek Köln, 2017. http://d-nb.info/1156461669/34.

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Ni, Zhuoya. "Méthode pour l'estimation de la fluorescence de la chlorophylle et son application pour la détection précoce du stress hydrique." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD022/document.

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La fluorescence chlorophyllienne induite par le soleil est une nouvelle façon de suivre l'évolution de la végétation et le cycle global du carbone. Grâce au modèle simulé et aux expériences sur le terrain et aéroportée, la recherche multi-échelles de méthode de détection de la fluorescence de la chlorophylle induite par le soleil est développé dans cette thèse. Les principales conclusions et innovations sont les suivantes : 1. Les expériences de contrôle en eau du maïs montrent que la fluorescence passive peut être utilisée pour détecter le stress hydrique des culture. L'analyse de la réponse de la fluorescence et de la température montre que la fluorescence est très sensible au stress hydrique précoce. 2. Après avoir analysé les effets de la température, de l'angle zénithal solaire et du rendement quantique de la fluorescence sur la détermination de la fluorescence, nous proposons une méthode d’obtention de la fluorescence qualitative basée sur l'indice de réflectance. 3. L’analyse des effets de la détermination de la fluorescence aéroportée nous a permis de montrer que l'angle zénithal solaire et la hauteur du capteur aéroporté sont les facteurs importants qui influent sur la détermination de la fluorescence induite par le soleil
Sun-induced chlorophyll fluorescence is a new way to monitor the vegetation change and global carbon cycle. Through the model simulated analysis, the pot experiment and the airborne flying experiment, the research on detecting the multi-scale sun-induced chlorophyll fluorescence is developed in this dissertation. The main conclusions and innovations are as follows: 1. The maize water control experiments demonstrate that the passive fluorescence can be used to detect the crop water stress, and the analysis of the different responses of the fluorescence and temperature illustrates that the fluorescence is much sensitive to the early water stress. 2. Analyze the effects of temperature, sun zenith angle and fluorescence quantum efficiency on the qualitative fluorescence retrieval, and propose a qualitative fluorescence retrieval method based on the reflectance index. 3. Analyze the effects of airborne fluorescence retrieval, and obtain that sun zenith angle and airborne sensor height are the important factors to affect the sun-induced fluorescence retrieval from the simulated analysis and airborne flying experiment
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Book chapters on the topic "Sun-induced chlorophyll fluorescence"

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Quiros-Vargas, Juan, Bastian Siegmann, Alexander Damm, Ran Wang, John Gamon, Vera Krieger, B. S. Daya Sagar, Onno Muller, and Uwe Rascher. "Fractal Geometry and the Downscaling of Sun-Induced Chlorophyll Fluorescence Imagery." In Encyclopedia of Mathematical Geosciences, 1–4. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-26050-7_120-1.

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Quiros-Vargas, Juan, Bastian Siegmann, Alexander Damm, Ran Wang, John Gamon, Vera Krieger, B. S. Daya Sagar, Onno Muller, and Uwe Rascher. "Fractal Geometry and the Downscaling of Sun-Induced Chlorophyll Fluorescence Imagery." In Encyclopedia of Mathematical Geosciences, 404–7. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-85040-1_120.

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Deák, Zsuzsanna, and Imre Vass. "Oscillating Yield of Flash-Induced Chlorophyll Fluorescence Decay in Intact Cells of Thermosynechococcus elongatus." In Photosynthesis. Energy from the Sun, 573–76. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6709-9_129.

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Vass, Imre, Krisztián Cser, Alison Telfer, Samuel L. Benson, James Barber, and Zsuzsanna Deák. "Energetics of Photosystem II Charge Recombination in Acaryochloris marina Studied by Thermoluminescence and Flash Induced Chlorophyll Fluorescence Measurements." In Photosynthesis. Energy from the Sun, 231–34. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6709-9_52.

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Gilerson, Alexander A., and Yannick Huot. "Bio-optical Modeling of Sun-Induced Chlorophyll- a Fluorescence." In Bio-optical Modeling and Remote Sensing of Inland Waters, 189–231. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-12-804644-9.00007-0.

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Conference papers on the topic "Sun-induced chlorophyll fluorescence"

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Damm, Alexander, Micol Rossini, Roberto Colombo, Uwe Rascher, and Michael E. Schaepman. "Airborne based spectroscopy to measure sun-induced chlorophyll fluorescence." In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2014. http://dx.doi.org/10.1109/whispers.2014.8077628.

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De Canniere, S., and F. Jonard. "Tracking Water Limitation in Photosynthesis with Sun-Induced Chlorophyll Fluorescence." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9555153.

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Colombo, R., L. Alonso, M. Celesti, S. Cogliati, A. Damm, M. Drusch, L. Guanter, et al. "Remote sensing of sun-induced chlorophyll fluorescence at different scales." In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2014. http://dx.doi.org/10.1109/whispers.2014.8077542.

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Guanter, Luis, Philipp Kohler, Sophia Walther, and Yongguang Zhang. "Recent advances in global monitoring of terrestrial sun-induced chlorophyll fluorescence." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729438.

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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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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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Yang, Peiqi, and Christiaan van der Tol. "A Spectral Invariant Approach to Modelling Radiative Transfer Of Sun-Induced Chlorophyll Fluorescence." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517742.

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Damm, Alexander, Sebastian Roethlin, and Liv Fritsche. "Towards Advanced Retrievals of Plant Transpiration Using Sun-Induced Chlorophyll Fluorescence: First Considerations." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518974.

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Zhou, Yu-an, Liang Wan, Ruiming Du, Shuobo Chen, and Haiyan Cen. "Development of Novel Sun-Induced Chlorophyll Fluorescence Spectral Indices for Assessing Leaf Chlorophyll and Carotenoid Contents in Rice." In 2021 ASABE Annual International Virtual Meeting, July 12-16, 2021. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2021. http://dx.doi.org/10.13031/aim.202100148.

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Taveira, German, Raúl Rivas, and Sabrina Beninato. "Qualitative Estimation of Sun-Induced Chlorophyll Fluorescence (SIF) Using Sentinel-3 OLCI Sensor Data." In 2023 XX Workshop on Information Processing and Control (RPIC). IEEE, 2023. http://dx.doi.org/10.1109/rpic59053.2023.10530749.

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You might also be interested in the extended bibliographies on the topic 'Sun-induced chlorophyll fluorescence' for particular source types:
Journal articles
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