Search results for "Photochemical Reflectance Index"

showing 10 items of 18 documents

Linking photosynthesis and sun-induced fluorescence at sub-daily to seasonal scales

2018

Abstract Due to its close link to the photosynthetic process, sun-induced chlorophyll fluorescence (F) opens new possibilities to study dynamics of photosynthetic light reactions and to quantify CO2 assimilation rates. Although recent studies show that F is linearly related to gross primary production (GPP) on coarse spatial and temporal scales, it is argued that this relationship may be mainly driven by seasonal changes in absorbed photochemical active radiation (APAR) and less by the plant light use efficiency (LUE). In this work a high-resolution spectrometer was used to continuously measure red and far-red fluorescence and different reflectance indices within a sugar beet field during t…

010504 meteorology & atmospheric sciencesEconomicsPhotochemical reflectance index0211 other engineering and technologiesEddy covarianceGrowing seasonSoil Science02 engineering and technologyPhotochemical Reflectance IndexPhotosynthesisAtmospheric sciences01 natural sciencesFluorescence yieldSun-induced chlorophyll fluorescencemedicineddc:550Computers in Earth SciencesChlorophyll fluorescenceBiology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLight use efficiencyPhysicsDiurnal temperature variationPrimary productionGeologySeasonalitymedicine.diseaseChemistryEngineering sciences. Technology
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Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress

2019

Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front in terrestrial vegetation science, with emerging capability in space-based methodologies and diverse application prospects. Although remote sensing of SIF – especially from space – is seen as a contemporary new specialty for terrestrial plants, it is founded upon a multi-decadal history of research, applications, and sensor developments in active and passive sensing of chlorophyll fluorescence. Current technical capabilities allow SIF to be measured across a range of biological, spatial, and temporal scales. As an optical signal, SIF may be assessed remotely using high-resolution spectral sensors in …

010504 meteorology & atmospheric sciencesFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTRE0208 environmental biotechnologySoil ScienceReview02 engineering and technologyPhotochemical Reflectance Index01 natural sciencesArticleGEO/11 - GEOFISICA APPLICATASIF retrieval methodsRadiative transfer modellingRadiative transfer910 Geography & travelComputers in Earth SciencesChlorophyll fluorescence1111 Soil Science1907 GeologyAirborne instruments0105 earth and related environmental sciencesRemote sensingStress detectionGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA1903 Computers in Earth SciencesPrimary productionGeologyVegetationPassive optical techniquesField (geography)020801 environmental engineeringGEO/10 - GEOFISICA DELLA TERRA SOLIDA10122 Institute of GeographySun-induced fluorescenceRemote sensing (archaeology)Sun-induced fluorescence Steady-state photosynthesis Stress detection Radiative transfer modelling SIF retrieval methods. Satellite sensors Airborne instruments Applications Terrestrial vegetation Passive optical techniques. ReviewApplicationsTerrestrial vegetationEnvironmental scienceSatelliteSteady-state photosynthesisSatellite sensors
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Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiati…

2019

[Purpose of Review] We provide a comprehensive review of the empirical and modelling approaches used to quantify the radiation–vegetation interactions related to vegetation temperature, leaf optical properties linked to pigment absorption and chlorophyll fluorescence emission, and of their capability to monitor vegetation health. Part 1 provides an overview of the main physiological indicators (PIs) applied in remote sensing to detect alterations in plant functioning linked to vegetation diseases and decline processes. Part 2 reviews the recent advances in the development of quantitative methods to assess PI through hyperspectral and thermal images.

0106 biological sciences010504 meteorology & atmospheric sciencesHigh resolutionVegetation healthPhotochemical Reflectance Index01 natural sciencesVegetation indicesPhysiological indicatorsRadiative transfermedicineEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesNature and Landscape ConservationRemote sensingRadiative transfer modelsEcologyWarning systemHyperspectral and thermal dataHyperspectral imagingForestry15. Life on land13. Climate actionRemote sensing (archaeology)Temporal resolutionEnvironmental sciencemedicine.symptomVegetation (pathology)010606 plant biology & botany
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Photoprotection dynamics observed at leaf level from fast temporal reflectance changes

2018

Vegetation dynamically reacts to the available photosynthetically active radiation (PAR) by adjusting the photosynthetic apparatus to either a light harvesting or a photoprotective modus. When activating the photoprotection mechanism, either minor or major pigment-protein interactions may occur at the leaf level, resulting in different light absorption and consequently reflectance intensities. The reflectance changes were measured during sudden illumination transients designed to provoke fast adaptation to high irradiance. Different spectral reflectance change features were observed during different stages of photoprotection activation, extending over part of the visible spectral range (i.e…

0106 biological sciences0301 basic medicinePigmentsMaterials sciencePhotochemical Reflectance IndexPhotosynthesis01 natural sciencesFluorescenceReflectivity03 medical and health sciencesWavelength030104 developmental biologyPhotosynthetically active radiationPhotoprotectionVegetaciósense organsAbsorption (electromagnetic radiation)Biological system010606 plant biology & botany
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Spatial Variation of Leaf Optical Properties in a Boreal Forest Is Influenced by Species and Light Environment

2017

Leaf Optical Properties (LOPs) convey information relating to temporally dynamic photosynthetic activity and biochemistry. LOPs are also sensitive to variability in anatomically related traits such as Specific Leaf Area (SLA), via the interplay of intra-leaf light scattering and absorption processes. Therefore, variability in such traits, which may demonstrate little plasticity over time, potentially disrupts remote sensing estimates of photosynthesis or biochemistry across space. To help to disentangle the various factors that contribute to the variability of LOPs, we defined baseline variation as variation in LOPs that occurs across space, but not time. Next we hypothesized that there wer…

0106 biological sciencesCanopyPIGMENT010504 meteorology & atmospheric sciencesSpecific leaf areaPlant SciencePhotochemical Reflectance IndexAtmospheric sciences01 natural sciencesleaf optical propertiesPHOTOCHEMICAL REFLECTANCE INDEXCANOPYLEAVESCHLOROPHYLL FLUORESCENCE EMISSIONNITROGEN-CONTENTSCOTS PINEChlorophyll fluorescenceOriginal ResearchCONIFER NEEDLES0105 earth and related environmental sciences4112 Forestryphotosynthesischlorophyll fluorescencebiologyEcologyTaigaScots pine15. Life on landbiology.organism_classificationDECIDUOUS FORESTbaselineBoreal13. Climate actionEnvironmental scienceSpatial variabilityPRI010606 plant biology & botanyFrontiers in Plant Science
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Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications

2009

Interest in remote sensing (RS) of solar-induced chlorophyll fluorescence (F) by terrestrial vegetation is motivated by the link of F to photosynthetic efficiency which could be exploited for large scale monitoring of plant status and functioning. Today, passive RS of F is feasible with different prototypes and commercial ground-based, airborne, and even spaceborne instruments under certain conditions. This interest is generating an increasing number of research projects linking F and RS, such as the development of new F remote retrieval techniques, the understanding of the link between the F signal and vegetation physiology and the feasibility of a satellite mission specifically designed f…

ApplicationComputer scienceSolar-induced chlorophyll fluorescenceMultispectral imageMethodSoil ScienceHyperspectral imaging550 - Earth sciencesGeologyPhotochemical Reflectance IndexPassive techniqueGEO/10 - GEOFISICA DELLA TERRA SOLIDARemote sensing (archaeology)DevicesRadianceSatelliteSatellite imageryComputers in Earth SciencesScale (map)Remote sensingRemote Sensing of Environment
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Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment

2022

Understanding how biophysical and biochemical variables contribute to the spectral characteristics of vegetation canopies is critical for their monitoring. Quantifying these contributions, however, remains difficult due to extraneous factors such as the spectral variability of canopy background materials, including soil/crop-residue moisture, soil-type, and non-photosynthetic vegetation (NPV). This study focused on exploring the spectral response of two important agronomic variables (1) leaf chlorophyll content (Cab ) and (2) leaf area index (LAI) under various canopy backgrounds through a global sensitivity analysis of wheat-like canopy spectra simulated using the physically-based PROSAIL …

Atmospheric ScienceResilient LivelihoodsLEAF-AREA-INDEXSoil typePHOTOCHEMICAL REFLECTANCE INDEXBIOPHYSICAL PROPERTIESMeteorology & Atmospheric SciencesAdaptationLeaf chlorophyll contentGlobal and Planetary ChangeScience & TechnologyVEGETATION INDEXESSPECTRAL INDEXESGLOBAL SENSITIVITY-ANALYSISAgricultureNon-photosynthetic vegetationForestry22/4 OA procedureAgronomyHyperspectral responseGlobal sensitivity analysisITC-ISI-JOURNAL-ARTICLEPhysical SciencesLeaf area indexCHLOROPHYLL CONTENTGREEN LAILife Sciences & BiomedicineCANOPY REFLECTANCEAgronomy and Crop ScienceRADIATIVE-TRANSFER MODELAgricultural and Forest Meteorology
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Diurnal and Seasonal Solar Induced Chlorophyll Fluorescence and Photosynthesis in a Boreal Scots Pine Canopy

2019

Solar induced chlorophyll fluorescence has been shown to be increasingly an useful proxy for the estimation of gross primary productivity (GPP), at a range of spatial scales. Here, we explore the seasonality in a continuous time series of canopy solar induced fluorescence (hereafter SiF) and its relation to canopy gross primary production (GPP), canopy light use efficiency (LUE), and direct estimates of leaf level photochemical efficiency in an evergreen canopy. SiF was calculated using infilling in two bands from the incoming and reflected radiance using a pair of Ocean Optics USB2000+ spectrometers operated in a dual field of view mode, sampling at a 30 min time step using custom written …

Canopy010504 meteorology & atmospheric sciencesRETRIEVAL0211 other engineering and technologiesEddy covarianceBoreal ecosystemlight-use efficiency (LUE)02 engineering and technologyAtmospheric sciencesPhotochemical Reflectance Index01 natural sciencesNormalized Difference Vegetation Indexseasonal dynamicsPHOTOSYSTEM-IIPHOTOCHEMICAL REFLECTANCE INDEXDiurnal cyclephotosynthetic efficiencySPECTROMETERFIELDWATER-STRESSlcsh:ScienceTEMPERATUREconiferous forest021101 geological & geomatics engineering0105 earth and related environmental sciencessolar-induced chlorophyll fluorescence (SiF); seasonal dynamics; photosynthetic efficiency; proximal remote sensing; coniferous forest; gross primary productivity (GPP); light-use efficiency (LUE); Fraunhofer Line Discriminator (FLD); flux tower4112 Forestrygross primary productivity (GPP)SUN-INDUCED FLUORESCENCEPrimary productionGROSS PRIMARY PRODUCTIONsolar-induced chlorophyll fluorescence (SiF)15. Life on landproximal remote sensing13. Climate actionLIGHT-USE EFFICIENCYRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QFraunhofer Line Discriminator (FLD)flux towerRemote Sensing; Volume 11; Issue 3; Pages: 273
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Tracking seasonal drought effects on ecosystem light use efficiency in a mediterranean forest using climatic and remote sensing data

2012

Daily values of light use efficiency (LUE) of a Mediterranean forest throughout five years have been analyzed in terms of different spectral indices obtained from MODIS products and which are informative on the water stress conditions. Although correlations between LUE and the different indices are rather high, the inter-annual variation of LUE due to the summer water stress is not well identified in most of them. In particular, the PRI (photochemical reflectance index) inter-annual variation has been found to be mostly attributable to concurrent variations in sun and view zenith angles. For the study area and at MODIS spatial resolution, the different indices are informative on changes in …

CanopyMediterranean climateEnvironmental scienceRadiometryEcosystemVegetationPhotochemical Reflectance IndexWater contentZenithRemote sensing2012 IEEE International Geoscience and Remote Sensing Symposium
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Assessment of MODIS imagery to track light-use efficiency in a water-limited Mediterranean pine forest

2012

Abstract Daily values of gross primary production ( GPP ) derived from an eddy-covariance flux tower have been used to analyze the information content of the MODIS Photochemical Reflectance Index ( PRI ) on the light-use efficiency ( e ). The study has been conducted in a Mediterranean Pinus pinaster forest showing summer water stress. Advanced processing techniques have been used to analyze the effect of various external factors on e and PRI temporal variations. The intra-annual correlation between these two variables has been found to be mostly attributable to concurrent variations in sun and view zenith angles. The PRI has been normalized from these angular effects ( NPRI ), and its abil…

CanopyMediterranean climatebiologyWater stressSoil SciencePrimary productionGeologyPhotochemical Reflectance Indexbiology.organism_classificationEnvironmental sciencePinus pinasterEcosystemComputers in Earth SciencesZenithRemote sensingRemote Sensing of Environment
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