Search results for "Chlorophyll"

showing 10 items of 453 documents

Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor

2021

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 cam…

Canopy010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesleaf chlorophyll content02 engineering and technology01 natural sciencesLeaf area indexpixel heterogeneityChlorophyll fluorescenceImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingleaf area indexPixelQcanopy chlorophyll contentVegetation15. Life on landSpatial ecologyGeneral Earth and Planetary SciencesEnvironmental scienceSentinel-3ddc:620Scale (map)moderate spatial resolutionleaf chlorophyll content; canopy chlorophyll content; leaf area index; pixel heterogeneity; moderate spatial resolution; Sentinel-3; OLCI; FLEX; HyPlantRemote Sensing
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Canopy chlorophyll content and LAI estimation from Sentine1-2: Vegetation indices and Sentine1-2 Leve1-2A automatic products comparison

2019

The aim of this work is to analyze different methodologies for the estimation of leaf area index (LAI) and canopy chlorophyll content (CCC), using the Sentine1-2 satellite. LAI and CCC are biophysical parameters indicator of crop health state and fundamental in the productivity prediction. The purpose is to define the most optimal LAI and CCC estimation method for operational use in the monitoring of agricultural areas. Moreover, the CCC and LAI automatic products obtained directly through the Sentinel Application Platform Software (SNAP) biophysical processor and Sentine1-2 images by means of an artificial neural network (ANN) are validated. On the other hand, common vegetation indices use…

CanopyDiscrete mathematicsvalidationChlorophyll contentMean squared errorcanopy chlorophyll contentState (functional analysis)VegetationLAIvegetation indicesSaturation (graph theory)Leaf area indexSentinel-2Mathematics
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Estimating chlorophyll content of crops from hyperspectral data using a normalized area over reflectance curve (NAOC)

2010

Abstract The Normalized Area Over reflectance Curve (NAOC) is proposed as a new index for remote sensing estimation of the leaf chlorophyll content of heterogeneous areas with different crops, different canopies and different types of bare soil. This index is based on the calculation of the area over the reflectance curve obtained by high spectral resolution reflectance measurements, determined, from the integral of the red–near-infrared interval, divided by the maximum reflectance in that spectral region. For this, use has been made of the experimental data of the SPARC campaigns, where in situ measurements were made of leaf chlorophyll content, LAI and fCOVER of 9 different crops – thus, …

CanopyGlobal and Planetary ChangeRadiometerPixelHyperspectral imagingManagement Monitoring Policy and Lawchemistry.chemical_compoundGeographychemistryChlorophyllComputers in Earth SciencesSpectral resolutionLeaf area indexAbsorption (electromagnetic radiation)Earth-Surface ProcessesRemote sensingInternational Journal of Applied Earth Observation and Geoinformation
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2021

Abstract Remote sensing-based measurements of solar-induced chlorophyll fluorescence (SIF) are useful for assessing plant functioning at different spatial and temporal scales. SIF is the most direct measure of photosynthesis and is therefore considered important to advance capacity for the monitoring of gross primary production (GPP) while it has also been suggested that its yield facilitates the early detection of vegetation stress. However, due to the influence of different confounding effects, the apparent SIF signal measured at canopy level differs from the fluorescence emitted at leaf level, which makes its physiological interpretation challenging. One of these effects is the scatterin…

CanopyImaging spectrometerSoil SciencePrimary productionGeologyFar-redPhotosynthetic efficiencyAtmospheric sciencesPhotosynthesisPhotosynthetically active radiationEnvironmental scienceComputers in Earth SciencesChlorophyll fluorescenceRemote sensingRemote Sensing of Environment
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Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties : a bottom-up approach

2015

Abstract Sun-induced chlorophyll fluorescence (SIF) at leaf level is emitted in both upward and downward directions in the red and far-red part of the spectrum (650–850 nm) when a leaf is illuminated from the upper leaf surface. Hence, total SIF is represented by the sum of the upward and downward emission components. Nevertheless, the downward component of leaf SIF is often not considered despite that downward fluorescence yield (↓FY) can amount up to 40% of the total fluorescence yield (FYtot). Downward SIF is mainly emitted in the far-red, since this part of fluoresced light is highly scattered within leaves, unlike red Chl fluorescence, which is mostly reabsorbed. While total FY can be …

CanopyMaterials scienceScatteringEconomicsPhysicsSoil ScienceGeologyFluorescenceLight scatteringChemistrySpectroradiometerYield (chemistry)TransmittanceComputers in Earth SciencesChlorophyll fluorescenceBiologyEngineering sciences. TechnologyRemote sensingRemote sensing of environment
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The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE

2019

Scattering and re-absorption have been recognized as relevant aspects for the interpretation of solar induced chlorophyll fluorescence (SIF) in vegetation remote sensing. In an earlier study [Yang and Van der Tol, RSE 215, 97–108, 2018] we addressed the problem of scattering and re-absorption of near-infrared fluorescence in the vegetation canopy. In this study we analyse within-leaf re-absorption of both red and near-infrared fluorescence using the radiative transfer model Fluspect. The leaf scattering determines the ratio of backward to total leaf fluorescence emission Fb/(Fb + Ff). Fluspect reproduces this ratio with an RMSE of less than 0.1, and explains the observed dependence of the s…

CanopySpectral shape analysisMaterials science010504 meteorology & atmospheric sciences0208 environmental biotechnologyAnalytical chemistryUT-Hybrid-DSoil ScienceRadiative transfer model02 engineering and technology01 natural sciencesRe absorptionScatteringAtmospheric radiative transfer codesComputers in Earth SciencesChlorophyll fluorescence0105 earth and related environmental sciencesRemote sensingScatteringNear-infrared spectroscopyGeologyFluorescence22/4 OA procedure020801 environmental engineeringITC-ISI-JOURNAL-ARTICLEChlorophyll fluorescenceRemote sensing of environment
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Remote sensing of sunlight-induced chlorophyll fluorescence and reflectance of Scots pine in the boreal forest during spring recovery

2005

A measurement campaign to assess the feasibility of remote sensing of sunlight-induced chlorophyll fluorescence (ChlF) from a coniferous canopy was conducted in a boreal forest study site (Finland). A Passive Multi-wavelength Fluorescence Detector (PMFD) sensor, developed in the LURE laboratory, was used to obtain simultaneous measurements of ChlF in the oxygen absorption bands, at 687 and 760 nm, and a reflectance index, the PRI (Physiological Reflectance Index), for a month during spring recovery. When these data were compared with active fluorescence measurements performed on needles they revealed the same trend. During sunny days fluorescence and reflectance signals were found to be str…

CanopyTree canopyTeledeteccióSoil ScienceGeologyFluorescènciaFluorescence spectroscopyNormalized Difference Vegetation Indexchemistry.chemical_compoundchemistryPhotosynthetically active radiationChlorophyllCold acclimationEnvironmental scienceComputers in Earth SciencesChlorophyll fluorescenceRemote sensingRemote Sensing of Environment
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The 2013 FLEX—US Airborne Campaign at the Parker Tract Loblolly Pine Plantation in North Carolina, USA

2017

The first European Space Agency (ESA) and NASA collaboration in an airborne campaign to support ESA’s FLuorescence EXplorer (FLEX) mission was conducted in North Carolina, USA during September–October 2013 (FLEX-US 2013) at the Parker Tract Loblolly Pine (LP) Plantation (Plymouth, NC, USA). This campaign combined two unique airborne instrument packages to obtain simultaneous observations of solar-induced fluorescence (SIF), LiDAR-based canopy structural information, visible through shortwave infrared (VSWIR) reflectance spectra, and surface temperature, to advance vegetation studies of carbon cycle dynamics and ecosystem health. We obtained statistically significant results for fluorescence…

Canopychlorophyll fluorescence; diurnal responses; red SIF; far-red SIF; SIF ratio; Fratio; <i>HyPlant</i>; G-LiHT; GEP; LUE010504 meteorology & atmospheric sciencesLiHTChronosequence0211 other engineering and technologies02 engineering and technologyfarPhotochemical Reflectance IndexAtmospheric sciences01 natural sciencesGDiurnal cycleLUEdiurnal responses910 Geography & travelChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesHydrologyTree canopychlorophyll fluorescenceG-LiHT1900 General Earth and Planetary SciencesVegetationGEPSIF ratioFar-red SIFFratio10122 Institute of GeographyLidarDiurnal responseHyPlantGeneral Earth and Planetary SciencesEnvironmental sciencered SIFEarth and Planetary Sciences (all)
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Global sensitivity analysis of the SCOPE model : what drives simulated canopy - leaving sun - induced fluorescence?

2015

This study provides insight into the key variables that drive sun-induced chlorophyll fluorescence (SIF) emanating from vegetation canopies, based on a global sensitivity analysis (GSA) of the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) balance model. An updated version of the SCOPE model was used here (v1.53) which contains novel leaf physiological modules for determination of the steady state fluorescence yield: a photosynthesis model coupled with (a) submodels having empirically derived relationships, identified as TB12 for unstressed and TB12-D for drought conditions and (b) a mechanistic (MD12) submodel based on theoretical relationships. By inspecting Sobol's total or…

Canopymodelchlorophyll fluorescenceSoil ScienceFluxGeologyVegetationgross primary productionPhotosynthetic capacityremote sensingphotosynthesiITC-ISI-JOURNAL-ARTICLE2023 OA procedureEnvironmental scienceMain effectShortwave radiationComputers in Earth SciencesLeaf area indexMETIS-311058Chlorophyll fluorescenceRemote sensingRemote sensing of environment
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Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging.

2021

Hyperspectral cameras onboard unmanned aerial vehicles (UAVs) have recently emerged for monitoring crop traits at the sub-field scale. Different physical, statistical, and hybrid methods for crop trait retrieval have been developed. However, spectra collected from UAVs can be confounded by various issues, including illumination variation throughout the crop growing season, the effect of which on the retrieval performance is not well understood at present. In this study, four retrieval methods are compared, in terms of retrieving the leaf area index (LAI), fractional vegetation cover (fCover), and canopy chlorophyll content (CCC) of potato plants over an agricultural field for six dates duri…

Canopystatistical method010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesGrowing season02 engineering and technologyLUT-based inversion; hybrid method; statistical method; leaf area index; fractional vegetation cover; canopy chlorophyll content01 natural sciencesLUT-based inversionhybrid methodLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingfractional vegetation coverleaf area indexQHyperspectral imagingcanopy chlorophyll contentStatistical modelRandom forestVNIRGeneral Earth and Planetary SciencesScale (map)Remote sensing
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