0000000000067378

AUTHOR

Luis Guanter

showing 43 related works from this author

Atmospheric correction of ENVISAT/MERIS data over inland waters: Validation for European lakes

2010

Traditional methods for aerosol retrieval and atmospheric correction of remote sensing data over water surfaces are based on the assumption of zero water reflectance in the near-infrared. Another type of approach which is becoming very popular in atmospheric correction over water is based on the simultaneous retrieval of atmospheric and water parameters through the inversion of coupled atmospheric and bio-optical water models. Both types of approaches may lead to substantial errors over optically-complex water bodies, such as case II waters, in which a wide range of temporal and spatial variations in the concentration of water constituents is expected. This causes the water reflectance in t…

Inland watersAtmospheric correction1903 Computers in Earth SciencesSoil ScienceGeologyInversion (meteorology)550 - Earth sciencesAerosolMERISAtmospheric correction10122 Institute of GeographyAerosol optical thicknessValidationWater modelEnvironmental scienceSpatial variabilitySatellite imageryWater qualityComputers in Earth Sciences910 Geography & travelSurface water1111 Soil Science1907 GeologyRemote sensing
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Multitemporal fusion of Landsat and MERIS images

2011

Monitoring Earth dynamics from current and future observation satellites is one of the most important objectives for the remote sensing community. In this regard, the exploitation of image time series from sensors with different characteristics provides an opportunity to increase the knowledge about environmental changes, which are needed in many operational applications, such as monitoring vegetation dynamics and land cover/use changes. Many studies in the literature have proven that high spatial resolution sensors like Landsat are very useful for monitoring land cover changes. However, the cloud cover probability of many areas and the 15-days temporal resolution restrict its use to monito…

Image SeriesImage fusionTemporal resolutionEnvironmental scienceLand coverImage sensorSensor fusionImage resolutionNormalized Difference Vegetation IndexRemote sensing
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Modelling spatial and spectral systematic noise patterns on CHRIS/PROBA hyperspectral data

2006

In addition to typical random noise, remote sensing hyperspectral images are generally affected by non-periodic partially deterministic disturbance patterns due to the image formation process and characterized by a high degree of spatial and spectral coherence. This paper presents a new technique that faces the problem of removing the spatial coherent noise known as vertical stripping (VS) usually found in images acquired by push-broom sensors, in particular for the Compact High Resolution Imaging Spectrometer (CHRIS). The correction is based on the hypothesis that the vertical disturbance presents higher spatial frequencies than the surface radiance. The proposed method introduces a way to…

Image formationSpectrometerComputer scienceNoise reductionRadianceHyperspectral imagingSpatial frequencySpectral resolutionRadiometric calibrationRemote sensing
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Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping

2011

Data from current medium-spatial-resolution imaging spectroradiometers are used for land-cover mapping and land-cover change detection at regional to global scales. However, few landscapes are homogeneous at these scales, and this creates the so-called mixed-pixel problem. In this context, this study explores the use of the linear spectral mixture model to extract subpixel land-cover composition from medium-spatial-resolution data. In particular, a time series of MEdium Resolution Imaging Spectrometer (MERIS) full-resolution (FR; pixel size of 300 m) images acquired over The Netherlands is used to illustrate this study. The Netherlands was selected because of the following: 1) the fragmenta…

aerosolMETIS-304171Computer scienceImaging spectrometerContext (language use)Land coverStellar classificationLaboratory of Geo-information Science and Remote Sensingpixelmodis dataLaboratorium voor Geo-informatiekunde en Remote SensingElectrical and Electronic EngineeringImage resolutionRemote sensingPixelSpectrometerVegetationPE&RCspectral mixture analysisSubpixel renderingSpectroradiometerThematic mapITC-ISI-JOURNAL-ARTICLEGeneral Earth and Planetary SciencesChange detection
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Performance of Spectral Fitting Methods for vegetation fluorescence quantification

2010

The Fraunhofer Line Discriminator (FLD) principle has long been considered as the reference method to quantify solar-induced chlorophyll fluorescence (F) from passive remote sensing measurements. Recently, alternative retrieval algorithms based on the spectral fitting of hyperspectral radiance observations, Spectral Fitting Methods (SFMs), have been proposed. The aim of this manuscript is to investigate the performance of such algorithms and to provide relevant information regarding their use. FLD and SFMs were used to estimate F starting from Top Of Canopy (TOC) fluxes at very high spectral resolution (0.12 nm) and sampling interval (0.1 nm), exploiting the O2-B (687.0 nm) and O2-A (760.6 …

DiscriminatorreflectanceHyperspectral remote sensingSolar-induced chlorophyll fluorescenceMETIS-304492Soil Science550 - Earth sciencesFraunhofer Line Discriminatorin-vivoNoise (electronics)Spectral lineRadiative transfer simulationLaboratory of Geo-information Science and Remote SensingSampling (signal processing)luminescenceLaboratorium voor Geo-informatiekunde en Remote Sensinginduced chlorophyll fluorescenceComputers in Earth SciencesSpectral resolutionMathematicsRemote sensingcanopymodelphotosynthesisscatteringairborneHyperspectral imagingGeologySpectral Fitting MethodPE&RCAGR/14 - PEDOLOGIASpectroradiometerspectroradiometerRadianceREMOTE SENSING OF ENVIRONMENT
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A method for the surface reflectance retrieval from PROBA/CHRIS data over land: application to ESA SPARC campaigns

2005

The Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (PROBA) platform system provides the first high spatial resolution hyper-spectral/multiangular remote sensing data from a satellite system, what represents a new source of information for Earth Observation purposes. A fully consistent radiative transfer approach is always preferred when dealing with the retrieval of surface reflectance from hyperspectral/multiangular data. However, due to the reported calibration anomalies for CHRIS data, a direct atmospheric correction based on physical radiative transfer modeling is not possible, and the method must somehow compensate for such calibration pr…

Ancillary dataEarth observationSpectrometerAtmospheric correctionRadiative transferCalibrationGeneral Earth and Planetary SciencesHyperspectral imagingEnvironmental science550 - Earth sciencesElectrical and Electronic EngineeringImage resolutionRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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Characterization of the atmosphere during SEN2FLEX 2005 field campaign

2008

The European Space Agency carried out the Sentinel-2 and Fluorescence Experiment (SEN2FLEX) campaign in Barrax (Spain) during the summer of 2005, with the main objective of observe solar induced fluorescence signal using the AirFLEX airborne instrument over different vegetation targets in order to verify signal suitability for observations from space as proposed in the FLEX mission. A highly precise atmospheric correction is mandatory for adequate measurements of the AirFLEX instrument; thus a complete characterization of the atmosphere was programmed in SEN2FLEX in order to document the presence of atmospheric aerosols above the experimental area, as their effects represent the major sourc…

Atmospheric ScienceRadiació solarMeteorologySoil Science550 - Earth sciencesAquatic ScienceMineral dustOceanographyAtmosphereGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Satellite imageryEarth-Surface ProcessesWater Science and TechnologyRemote sensingAerosolsEcologyAtmospheric correctionPaleontologyForestryGeofísicaAerosolGeophysicsLidarSpace and Planetary ScienceEnvironmental scienceSatelliteWater vaporJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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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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Nanogoniometry with scanning force microscopy: a model study of CdTe thin films.

2007

In this paper scanning force microscopy is combined with simple but powerful data processing to determine quantitatively, on a sub-micrometer scale, the orientation of surface facets present on crystalline materials. A high-quality scanning force topography image is used to determine an angular histogram of the surface normal at each image point. In addition to the known method for the assignment of Miller indices to the facets appearing on the surface, a quantitative analysis is presented that allows the characterization of the relative population and morphological quality of each of these facets. Two different CdTe thin films are used as model systems to probe the capabilities of this met…

Materials scienceSurface PropertiesPopulationMolecular Conformation550 - Earth sciencesScanning capacitance microscopyMicroscopy Atomic ForceBiomaterialsOpticsMaterials TestingCadmium CompoundsNanotechnologyGeneral Materials ScienceParticle SizeThin filmeducationeducation.field_of_studyCrystallographybusiness.industryOrientation (computer vision)Resolution (electron density)Membranes ArtificialGeneral ChemistryConductive atomic force microscopyNanostructuresCharacterization (materials science)Scanning ion-conductance microscopyTelluriumbusinessBiotechnology
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Developments for vegetation fluorescence retrieval from spaceborne high-resolution spectrometry in the O2-A and O2-B absorption bands

2010

Solar-induced chlorophyll fluorescence is a weak electromagnetic signal emitted in the red and far-red spectral regions by vegetation chlorophyll under excitation by solar radiation. Chlorophyll fluorescence has been demonstrated to be a close proxy to vegetation physiological functioning. The basis for fluorescence retrieval from passive space measurements is the exploitation of the O2-A and O2-B atmospheric absorption features to isolate the fluorescence signal from the solar radiation reflected by the surface and the atmosphere. High spectral resolution measurements and a precise modeling of the atmospheric radiative transfer in the visible and near-infrared regions are mandatory. Recent…

Atmospheric ScienceSoil ScienceAquatic ScienceRadiationOceanographychemistry.chemical_compoundOpticsGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Radiative transferSpectral resolutionSpectroscopyChlorophyll fluorescenceEarth-Surface ProcessesWater Science and TechnologyRemote sensingEcologybusiness.industryPaleontologyForestryFluorescenceGeophysicschemistrySpace and Planetary ScienceAbsorption bandChlorophyllEnvironmental sciencebusinessJournal of Geophysical Research
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Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence

2014

Guanter, Luis et al.

Crops AgriculturalChlorophyll010504 meteorology & atmospheric sciencesCarbon modelingspaceborne spectroscopy[SDV]Life Sciences [q-bio]0211 other engineering and technologiesClimate changeSoil science02 engineering and technologyPhotosynthesisAtmospheric sciences01 natural sciencesFluorescenceCarbon cycleSpaceborne spectroscopyCarbon fluxesEcosystemPhotosynthesisAgricultural productivityChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerEarth observationMultidisciplinaryPrimary productionVegetationModels Theoretical15. Life on landPNAS Plus13. Climate actionCrop productivityEnvironmental scienceSettore AGR/02 - AGRONOMIA E COLTIVAZIONI ERBACEE
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Methodology for the retrieval of vegetation chlorophyll fluorescence from space in the frame of the flex mission preparatory

2016

FLEX (FLuorescence EXperiment) is a candidate mission for the European Space Agency (ESA) Earth Explorer program. The main objective of the mission is the measurement the chlorophyll fluorescence signal emitted by vegetation at the red and far-red spectral regions (roughly 630-770 nm). The current FLEX mission design includes different instruments intended to provide the appropriate characterization of those atmospheric and surface parameters necessary for the retrieval and interpretation of the fluorescence signal. The complete processing chain for the derivation of fluorescence and reflectance products from the radiance data acquired by the different instruments included in the FLEX paylo…

PixelNoise (signal processing)RadianceAtmospheric correctionFLEXEnvironmental scienceAtmospheric modelSignalSpace explorationRemote sensingInternational Geoscience and Remote Sensing Symposium (IGARSS)
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Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview

2009

Abstract. The AHS (Airborne Hyperspectral Scanner) instrument has 80 spectral bands covering the visible and near infrared (VNIR), short wave infrared (SWIR), mid infrared (MIR) and thermal infrared (TIR) spectral range. The instrument is operated by Instituto Nacional de Técnica Aerospacial (INTA), and it has been involved in several field campaigns since 2004. This paper presents an overview of the work performed with the AHS thermal imagery provided in the framework of the SPARC and SEN2FLEX campaigns, carried out respectively in 2004 and 2005 over an agricultural area in Spain. The data collected in both campaigns allowed for the first time the development and testing of algorithms for …

ScannerMeteorology010504 meteorology & atmospheric sciencestélédétection[SDV]Life Sciences [q-bio]0211 other engineering and technologiesevapotranspirationREMOTE SENSING;SURFACE TEMPERATURE;INFRAREDévapotranspirationespagne02 engineering and technology01 natural scienceslcsh:Technologylcsh:TD1-1066REMOTE SENSINGEvapotranspirationtempératureEmissivityWageningen Environmental ResearchCGI - Earth Observationlcsh:Environmental technology. Sanitary engineeringlcsh:Environmental sciencesRemote sensing021101 geological & geomatics engineering0105 earth and related environmental scienceslcsh:GE1-350algorithmCGI - Aardobservatielcsh:TNear-infrared spectroscopylcsh:Geography. Anthropology. RecreationHyperspectral imagingINFRAREDCL - Urban and Regional DevelopmentSpectral bandspays méditerranéenVNIRbilan radiatiflcsh:GRemote sensing (archaeology)[SDE]Environmental SciencesEnvironmental scienceSURFACE TEMPERATUREeuropeland-surface temperatureCL - Stadsregionale Ontwikkeling
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Sensitivity analysis of the fraunhofer line discrimination method for the measurement of chlorophyll fluorescence using a field spectroradiometer

2007

The Fraunhofer Line Discrimination (FLD) principle is established as a good method for remote sensing of solar induced chlorophyll fluorescence. Some improvements to the method are analysed in order to determine and reduce the sources of error in the estimation of the fluorescence emission. A sensitivity analysis has been performed over simulated data generated from real diurnal cycle measurements.

SpectroradiometerRadiometerOpticsMaterials scienceSpectrometerDiurnal cyclebusiness.industrySensitivity (control systems)Absorption (electromagnetic radiation)businessChlorophyll fluorescenceFluorescenceRemote sensing2007 IEEE International Geoscience and Remote Sensing Symposium
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Sun-induced chlorophyll fluorescence III: benchmarking retrieval methods and sensor characteristics for proximal sensing

2019

[EN] The interest of the scientific community on the remote observation of sun-induced chlorophyll fluorescence (SIF) has increased in the recent years. In this context, hyperspectral ground measurements play a crucial role in the calibration and validation of future satellite missions. For this reason, the European cooperation in science and technology (COST) Action ES1309 OPTIMISE has compiled three papers on instrument characterization, measurement setups and protocols, and retrieval methods (current paper). This study is divided in two sections; first, we evaluated the uncertainties in SIF retrieval methods (e.g., Fraunhofer line depth (FLD) approaches and spectral fitting method (SFM))…

010504 meteorology & atmospheric sciencesComputer scienceEconomicsGround spectrometersScience0211 other engineering and technologiesContext (language use)02 engineering and technologyGround spectrometer01 natural sciencesSpectral lineRetrieval methodApproximation errorSun-induced chlorophyll fluorescenceSensitivity (control systems)910 Geography & travelChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRetrieval methodsSpectrometerSun-induced chlorophyll fluorescence; Ground spectrometers; Retrieval methods1900 General Earth and Planetary SciencesQHyperspectral imagingsun-induced chlorophyll fluorescence; ground spectrometers; retrieval methods3. Good health10122 Institute of GeographyFISICA APLICADALine (geometry)General Earth and Planetary Sciencesddc:620Interpolation
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Comparison Between Fractional Vegetation Cover Retrievals from Vegetation Indices and Spectral Mixture Analysis: Case Study of PROBA/CHRIS Data Over …

2009

Abstract: In this paper we compare two different methodologies for Fractional Vegetation Cover (FVC) retrieval from Compact High Resolution Imaging Spectrometer (CHRIS) data onboard the European Space Agency (ESA) Project for On-Board Autonomy (PROBA) platform. The first methodology is based on empirical approaches using Vegetation Indices (VIs), in particular the Normalized Difference Vegetation Index (NDVI) and the Variable Atmospherically Resistant Index (VARI). The second methodology is based on the Spectral Mixture Analysis (SMA) technique, in which a Linear Spectral Unmixing model has been considered in order to retrieve the abundance of the different constituent materials within pixe…

Endmember010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologies550 - Earth sciences02 engineering and technologyLand coverlcsh:Chemical technology01 natural sciencesBiochemistryNormalized Difference Vegetation IndexArticleCHRISAnalytical ChemistryRoot mean squareFractional Vegetation Cover; Vegetation Indices; Spectral Mixture Analysis; PROBA; CHRISPROBAlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentation021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingFractional Vegetation CoverPixelVegetation15. Life on landAtomic and Molecular Physics and OpticsStandard errorSpectral Mixture AnalysisVegetation Indices
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Satellite Observations of the Contrasting Response of Trees and Grasses to Variations in Water Availability

2019

Interannual variations in ecosystem primary productivity are dominated by water availability. Until recently, characterizing the photosynthetic response of different ecosystems to soil moisture anomalies was hampered by observational limitations. Here, we use a number of satellite-based proxies for productivity, including spectral indices, sun-induced chlorophyll fluorescence, and data-driven estimates of gross primary production, to reevaluate the relationship between terrestrial photosynthesis and water. In contrast to nonwoody vegetation, we find a resilience of forested ecosystems to reduced soil moisture. Sun-induced chlorophyll fluorescence and data-driven gross primary production ind…

2. Zero hunger0303 health sciences010504 meteorology & atmospheric sciencesbiologyWater effect15. Life on landPhotosynthesisAtmospheric sciencesbiology.organism_classification01 natural sciences03 medical and health sciencesGeophysics13. Climate actionddc:550General Earth and Planetary SciencesEnvironmental scienceSatellite (biology)Institut für Geowissenschaften030304 developmental biology0105 earth and related environmental sciencesGeophysical Research Letters
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Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

2013

Abstract Monitoring Earth dynamics using current and future satellites is one of the most important objectives of the remote sensing community. The exploitation of image time series from sensors with different characteristics provides new opportunities to increase the knowledge about environmental changes and to support many operational applications. This paper presents an image fusion approach based on multiresolution and multisensor regularized spatial unmixing. The approach yields a composite image with the spatial resolution of the high spatial resolution image while retaining the spectral and temporal characteristics of the medium spatial resolution image. The approach is tested using …

Point spread functionGlobal and Planetary ChangeImage fusionManagement Monitoring Policy and LawComposite image filterGeographyRemote sensing (archaeology)Temporal resolutionHigh spatial resolutionComputers in Earth SciencesScale (map)Image resolutionEarth-Surface ProcessesRemote sensing
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Land surface emissivity retrieval from different VNIR and TIR sensors

2008

This paper discusses the application and adaptation of two existing operational algorithms for land surface emissivity (epsiv) retrieval from different operational satellite/airborne sensors with bands in the visible and near-infrared (VNIR) and thermal IR (TIR) regions: (1) the temperature and emissivity separation algorithm, which retrieves epsiv only from TIR data and (2) the normalized-difference vegetation index thresholds method, in which epsiv is retrieved from VNIR data.

Surface (mathematics)MeteorologyInfraredSeparation algorithm550 - Earth sciencesADLIB-ART-2737WRSNormalized Difference Vegetation IndexVNIREmissivityGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteElectrical and Electronic EngineeringVegetation IndexRemote sensingIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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First results from the PROBA/CHRIS hyperspectral/multiangular satellite system over land and water targets

2005

The Project for On-Board Autonomy (PROBA) platform developed by the European Space Agency was launched on October 22, 2001. The instrument payload includes the Compact High Resolution Imaging Spectrometer (CHRIS). The coupled system provides high spatial resolution hyperspectral/multi-angular data, which represents a new-generation source of information for Earth observation purposes. The first results obtained from the preprocessing (noise removal and geometric/atmospheric correction) of two different datasets, collected over agricultural crops and inland waters, are presented in this letter. In situ measurements are used to assess the quality of the data and to validate the processing alg…

Earth observationMeteorologySpectrometerPayloadAtmospheric correctionHyperspectral imagingSatellite system550 - Earth sciencesGeotechnical Engineering and Engineering GeologyHigh spatial resolutionPreprocessorEnvironmental scienceElectrical and Electronic EngineeringRemote sensing
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Red and far-red sun-induced chlorophyll fluorescence as a measure of plant photosynthesis

2015

Remote estimation of Sun-induced chlorophyll fluorescence emitted by terrestrial vegetation can provide an unparalleled opportunity to track spatiotemporal variations of photosynthetic efficiency. Here we provide the first direct experimental evidence that the two peaks of the chlorophyll fluorescence spectrum can be accurately mapped from high-resolution radiance spectra and that the signal is linked to variations in actual photosynthetic efficiency. Red and far red fluorescence measured using a novel airborne imaging spectrometer over a grass carpet treated with an herbicide known to inhibit photosynthesis was significantly higher than the corresponding signal from an equivalent untreated…

Chemistry1900 General Earth and Planetary SciencesImaging spectrometerfood and beveragesFar-redPhotosynthetic efficiencyPhotosynthesisFluorescenceGEO/10 - GEOFISICA DELLA TERRA SOLIDA10122 Institute of GeographyGeophysicsRadianceddc:550General Earth and Planetary Sciences910 Geography & travel1908 GeophysicsControlled experimentfluorescence airborne sensor high resolution photosynthesisChlorophyll fluorescenceRemote sensing
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Gridding artifacts on medium-resolution satellite image time series: MERIS case study

2011

Earth observation satellites provide a valuable source of data which when conveniently processed can be used to better understand the Earth system dynamics. In this regard, one of the prerequisites for the analysis of satellite image time series is that the images are spatially coregistered so that the resulting multitemporal pixel entities offer a true temporal view of the area under study. This implies that all the observations must be mapped to a common system of grid cells. This process is known as gridding and, in practice, two common grids can be used as a reference: 1) a grid defined by some kind of external data set (e.g., an existing land-cover map) or 2) a grid defined by one of t…

PixelComputer scienceImaging spectrometerLand coverGrid cellGridEarth observation satelliteMETIS-304168Data setITC-ISI-JOURNAL-ARTICLEGeneral Earth and Planetary SciencesSatelliteSatellite Image Time SeriesElectrical and Electronic EngineeringImage resolutionRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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CEFLES2: The remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the …

2009

The CEFLES2 campaign during the Carbo Europe Regional Experiment Strategy was designed to provide simultaneous airborne measurements of solar induced fluorescence and CO<sub>2</sub> fluxes. It was combined with extensive ground-based quantification of leaf- and canopy-level processes in support of ESA's Candidate Earth Explorer Mission of the "Fluorescence Explorer" (FLEX). The aim of this campaign was to test if fluorescence signal detected from an airborne platform can be used to improve estimates of plant mediated exchange on the mesoscale. Canopy fluorescence was quantified from four airborne platforms using a combination of novel sensors: (i) the prototype ai…

Imaging spectrometerMesoscale meteorology1904 Earth-Surface Processeslcsh:Life550 - Earth sciencesPhotosynthetic efficiencyINDUCED CHLOROPHYLL FLUORESCENCE; GROSS PRIMARY PRODUCTION; LIGHT-USE EFFICIENCY; STEADY-STATE; WATER-STRESS; REFLECTANCE; FIELD; HETEROGENEITY; DYNAMICS; BOREALremote sensingEvapotranspirationddc:570lcsh:QH540-549.5910 Geography & travelTransectEcology Evolution Behavior and SystematicsEarth-Surface ProcessesRemote sensingphotosynthesisSpectrometerlcsh:QE1-996.5Hyperspectral imagingFluorescenceFLEX Fluorescence AHS HYPER AirFLEXJlcsh:Geologylcsh:QH501-531GEO/10 - GEOFISICA DELLA TERRA SOLIDA10122 Institute of Geography1105 Ecology Evolution Behavior and SystematicsEnvironmental sciencefluorescencelcsh:Ecologyoxygenprimary production
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Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

2019

Abstract Satellite remote sensing has been widely used in the last decades for agricultural applications, both for assessing vegetation condition and for subsequent yield prediction. Existing remote sensing-based methods to estimate gross primary productivity (GPP), which is an important variable to indicate crop photosynthetic function and stress, typically rely on empirical or semi-empirical approaches, which tend to over-simplify photosynthetic mechanisms. In this work, we take advantage of all parallel developments in mechanistic photosynthesis modeling and satellite data availability for an advanced monitoring of crop productivity. In particular, we combine process-based modeling with …

FOS: Computer and information sciencesLandsat 8Earth observation010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0208 environmental biotechnologyComputer Science - Computer Vision and Pattern RecognitionSoil Science02 engineering and technologyGross primary productivity (GPP)Sentinel-2 (S2)Machine learningcomputer.software_genre01 natural sciencesRadiative transfer modeling (RTM)Atmospheric radiative transfer codesSoil-canopy-observation of photosynthesis and the energy balance (SCOPE)Computers in Earth SciencesC3 crops0105 earth and related environmental sciencesRemote sensing2. Zero hungerArtificial neural networkbusiness.industryEmpirical modellingNeural networks (NN)GeologyVegetationMachine learning (ML)15. Life on landHybrid approach22/4 OA procedure020801 environmental engineeringVariable (computer science)ITC-ISI-JOURNAL-ARTICLEEnvironmental scienceSatelliteArtificial intelligenceScale (map)businesscomputerRemote sensing of environment
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Remote sensing of chlorophyll fluorescence for estimation of stress in vegetation. Recommendations for future missions

2007

Vegetation monitoring is a key issue in Earth Observation due to its relation with the global CO2 cycle. Chlorophyll fluorescence (ChF) emitted by the vegetation is an accurate indicator of the plant status and their photosynthetic activity. This work analyses the diurnal evolution of the ChF emission spectrum and the fluorescence yield in order to determine the best conditions for remote sensing of ChF from a satellite platform. The ChF evolution is studied at leaf level during several diurnal cycles, in simulated conditions, for two species under different stress conditions. The analysis of the signal levels gives an estimation of the values of ChF emission which could be observed from a …

Earth observationSpectroradiometerDiurnal cycleEnvironmental scienceRadiometrySatellite550 - Earth sciencesEmission spectrumVegetationChlorophyll fluorescenceRemote sensingIGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12
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Remote sensing of sun-induced chlorophyll fluorescence at different scales

2014

In this contribution we present activities and selected results obtained in recent studies and campaigns conducted in the context of the FLuorescence EXplorer (FLEX) mission. FLEX is a candidate mission for the ESA 8th Earth Explorer and large efforts are currently dedicated to the development of an implementation scheme for an accurate mapping of fluorescence from the selected spaceborne sensor and mission configuration. Field and airborne data collected in different experimental campaigns, together with simulated data, have been used to demonstrate the feasibility of fluorescence retrievals and the potential of exploiting high spatial resolution fluorescence maps for a better understandin…

FLORISfield measurementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHyperspectral imagingContext (language use)Atmospheric modelFLEX missionGeneralLiterature_MISCELLANEOUSRemote sensing (archaeology)Simulated datafield measurementsHyPlantSun-induced chlorophyll fluorescenceHigh spatial resolutionEnvironmental scienceFLEXChlorophyll fluorescenceRemote sensing2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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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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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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A method for the atmospheric correction of ENVISAT/MERIS data over land targets

2007

An atmospheric correction algorithm for the retrieval of land surface reflectance from imagery acquired by the Medium Resolution Imaging Spectrometer (MERIS) on-board the European Space Agency (ESA) ENVIronmental SATellite (ENVISAT) platform has been implemented. The algorithm is designed to estimate the main atmospheric parameters needed in the correction, aerosol and water vapour contents, from the image itself, leading to an optimal characterization of the atmospheric state at the time of image acquisition. Once the atmospheric state has been defined, a second step deals with the retrieval of surface reflectance, accounting for the contribution of surface elevation and roughness as well …

MeteorologyImaging spectrometerElevationAtmospheric correctionGeneral Earth and Planetary SciencesEnvironmental science550 - Earth sciencesSatelliteMineral dustWater vaporRemote sensingAERONETAerosol
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Cloud-screening algorithm for ENVISAT/MERIS multispectral images

2007

This paper presents a methodology for cloud screening of multispectral images acquired with the Medium Resolution Imaging Spectrometer (MERIS) instrument on-board the Environmental Satellite (ENVISAT). The method yields both a discrete cloud mask and a cloud-abundance product from MERIS level-lb data on a per-pixel basis. The cloud-screening method relies on the extraction of meaningful physical features (e.g., brightness and whiteness), which are combined with atmospheric-absorption features at specific MERIS-band locations (oxygen and watervapor absorptions) to increase the cloud-detection accuracy. All these features are inputs to an unsupervised classification algorithm; the cloud-proba…

Contextual image classificationPixelComputer sciencebusiness.industryMultispectral imageFeature extractionImaging spectrometer550 - Earth sciencesImage processingCloud computingSnowSpectral lineMultispectral pattern recognitionGeneral Earth and Planetary SciencesElectrical and Electronic EngineeringbusinessAstrophysics::Galaxy AstrophysicsWater vaporRemote sensing
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Spectral calibration of hyperspectral imagery using atmospheric absorption features

2006

One of the initial steps in the preprocessing of remote sensing data is the atmospheric correction of the at-sensor radiance images, i.e., radiances recorded at the sensor aperture. Apart from the accuracy in the estimation of the concentrations of the main atmospheric species, the retrieved surface reflectance is also influenced by the spectral calibration of the sensor, especially in those wavelengths mostly affected by gaseous absorptions. In particular, errors in the surface reflectance appear when a systematic shift in the nominal channel positions occurs. A method to assess the spectral calibration of hyperspectral imaging spectrometers from the acquired imagery is presented in this p…

atmospheric absorptionMaterials sciencebusiness.industryhyperspectral sensorMaterials Science (miscellaneous)Diffuse sky radiationAtmospheric correctionHyperspectral imaging550 - Earth sciencesIndustrial and Manufacturing EngineeringOpticsspectral calibrationFull spectral imagingRadianceRadiative transferBusiness and International ManagementbusinessRadiometric calibrationWater vaporRemote sensing
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Regularized multiresolution spatial unmixing for ENVISAT/MERIS and landsat/TM image fusion

2011

Earth observation satellites currently provide a large volume of images at different scales. Most of these satellites provide global coverage with a revisit time that usually depends on the instrument characteristics and performance. Typically, medium-spatial-resolution instruments provide better spectral and temporal resolutions than mapping-oriented high-spatial-resolution multispectral sensors. However, in order to monitor a given area of interest, users demand images with the best resolution available, which cannot be reached using a single sensor. In this context, image fusion may be effective to merge information from different data sources. In this letter, an image fusion approach ba…

Image fusionPixelComputer sciencebusiness.industryMultispectral imageGeotechnical Engineering and Engineering GeologySensor fusionComposite image filterSubpixel renderingSpectral lineComputer visionSatelliteArtificial intelligenceElectrical and Electronic EngineeringbusinessImage resolutionRemote sensingIEEE Geoscience and Remote Sensing Letters
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A unified vegetation index for quantifying the terrestrial biosphere

2021

[EN] Empirical vegetation indices derived from spectral reflectance data are widely used in remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf pigment content, and, subsequently, plant photosynthetic potential. Here, we generalize the broad family of commonly used vegetation indices by exploiting all higher-order relations between the spectral channels involved. This results in a higher sensitivity to vegetation biophysical and physiological parameters. The presented nonlinear generalization of the celebrated normalized difference vegetation index (NDVI) consistently improves accuracy in monitoring key parameters, such as leaf area index, gross prim…

0106 biological sciencesCanopyEarth observation010504 meteorology & atmospheric sciencesEnvironmental StudiesComputerApplications_COMPUTERSINOTHERSYSTEMSAtmospheric sciences01 natural sciencesNormalized Difference Vegetation IndexGeneralLiterature_MISCELLANEOUSPhysics::GeophysicsComputerApplications_MISCELLANEOUSmedicineLeaf area indexResearch Articles0105 earth and related environmental sciencesComputingMethodologies_COMPUTERGRAPHICSMultidisciplinaryGlobal warmingBiosphereSciAdv r-articles15. Life on land13. Climate actionComputer ScienceEnvironmental scienceSatellitemedicine.symptomVegetation (pathology)010606 plant biology & botanyResearch Article
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Scene-based spectral calibration assessment of high spectral resolution imaging spectrometers

2009

An accurate knowledge of the spectral calibration of imaging spectrometers is required for optimum data processing and interpretation. The scene-based spectral characterization of imaging spectrometers is frequently necessary to update or replace the pre-flight laboratory-based spectral characterization supplied by the data provider. An automatic method for the estimation of spectral calibration parameters (channel position and bandwidth) at atmospheric absorption regions from high spectral resolution imaging spectrometers (spectral sampling interval below 5 nm) is presented in this contribution. The method has been tested on two commercial instruments with spectral sampling intervals below…

Optics and Photonicsmedicine.medical_specialtyTime FactorsNormal Distribution550 - Earth sciencesAutomationOpticsImage Processing Computer-AssistedmedicineSpectral resolutionRadiometric calibrationRemote sensingPhysicsSpectral signatureSpectrometerAtmospherebusiness.industryBandwidth (signal processing)Hyperspectral imagingAtomic and Molecular Physics and OpticsSpectral imagingSpectrometry FluorescenceSpectrophotometryFull spectral imagingCalibrationbusiness
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Atmospheric components determination from ground-level measurements during the spectra Barax Campaigns (SPARC) field campaigns

2007

The Surface Processes and Ecosystem Changes Through Response Analysis (SPECTRA) Barrax Campaigns were validation campaigns developed in the framework of the SPECTRA mission in order to verify that the geophysical data products provided by satellite imagery are consistent with the measurements made by independent means. Two campaigns took place in Barrax, Spain, during the summers of 2003 and 2004. This paper presents the results of the characterization of the atmospheric composition from solar radiation, radiosoundings, and lidar measurements. Several potentially interesting situations involving atmospheric layers with different types of aerosols and water content are discussed. The presenc…

Earth observationMeteorologyAtmospheric correction550 - Earth sciencesAtmospheric modelLidarAir mass (astronomy)Atmosphere of EarthRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceElectrical and Electronic EngineeringAtmospheric opticsRemote sensing
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Reply to Magnani et al.: Linking large-scale chlorophyll fluorescence observations with cropland gross primary production

2014

Guanter, Luis et al.

ChlorophyllCrops AgriculturalMultidisciplinary[SDV]Life Sciences [q-bio]educationPrimary productionVegetationModels TheoreticalPhotosynthesisAtmospheric sciencesFluorescencechemistry.chemical_compoundGeographychemistry13. Climate actionChlorophyllGreenhouse gasTerrestrial ecosystemSatelliteLettersPhotosynthesisChlorophyll fluorescenceRemote sensing
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CHRIS/PROBA toolbox for hyperspectral and multiangular data exploitations

2009

The project CHRIS/Proba Toolbox for BEAM (CHRIS-Box) has been developed in order to support users of data from the CHRIS sensor onboard of ESA's Proba platform. BEAM and the CHRIS-Box are user tools which ESA/ESRTN are providing free of charge to the Earth Observation Community. The CHRIS-Box software provides extensions for BEAM that allows accomplishing the following tasks: a) Noise reduction to remove the vertical striping and other noise present in CHRIS response-corrected images; b) Cloud screening to mark cloudy pixels in CHRIS noise-corrected images; the cloud screening algorithm provides cloud probability and abundances for each pixel; c) Atmospheric correction that provides surface…

Earth observationPixelbusiness.industryComputer scienceAtmospheric correctionComputingMilieux_PERSONALCOMPUTINGHyperspectral imagingReflectivityGeneralLiterature_MISCELLANEOUSPhysics::History of PhysicsComputer visionArtificial intelligenceNoise (video)businessGeographic coordinate systemRemote sensingInternational Geoscience and Remote Sensing Symposium (IGARSS)
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Spectral calibration and atmospheric correction of ultra-fine spectral and spatial resolution remote sensing data. Application to CASI-1500 data

2007

Imaging spectrometers operating in the solar spectrum measure the upwelling reflected solar radiation, and are an important tool in the bio/geochemical characterization of the Earth system. Surface reflectance is usually the starting point for the retrieval of biophysical parameters from remote measurements. Reliable radiometric and spectral calibrations and accurate atmospheric correction are mandatory in the interpretation of the surface reflectance. A complete surface reflectance retrieval scheme specifically designed for ultra-fine spectral resolution (bandwidth from 10 to 2 nm) and spatial resolution (pixel size less than 10 m) imaging spectrometers is presented in this work. The asses…

Spectrometerbusiness.industryAtmospheric correctionSoil Science550 - Earth sciencesGeologyImaging spectroscopyOpticsCalibrationRadiative transferRadiometryEnvironmental scienceComputers in Earth SciencesSpectral resolutionbusinessImage resolutionRemote sensingRemote Sensing of Environment
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Cloud detection for CHRIS/Proba hyperspectral images

2005

Accurate and automatic detection of clouds in satellite scenes is a key issue for a wide range of remote sensing applications. With no accurate cloud masking, undetected clouds are one of the most significant source of error in both sea and land cover biophysical parameter retrieval. Sensors with spectral channels beyond 1 um have demonstrated good capabilities to perform cloud masking. This spectral range can not be exploited by recently developed hyperspectral sensors that work in the spectral range between 400- 1000 nm. However, one can take advantage of their high number of channels and spectral resolution to increase the cloud detection accuracy, and to describe properly the detected c…

Spectral signaturePixelRemote sensing applicationComputer sciencebusiness.industryHyperspectral imagingCloud computingSpectral bandsLand coverReflectivitySubpixel renderingVNIRbusinessImage resolutionWater vaporRemote sensingProceedings of SPIE - The International Society for Optical Engineering
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Estimation of solar-induced vegetation fluorescence from space measurements

2007

[1] A characteristic spectral emission is observed in vegetation chlorophyll under excitation by solar radiation. This emission, known as solar-induced chlorophyll fluorescence, occurs in the red and near infra-red spectral regions. In this paper a new methodology for the estimation of solar-induced chlorophyll fluorescence from spaceborne and airborne sensors is presented. The fluorescence signal is included in an atmospheric radiative transfer scheme so that chlorophyll fluorescence and surface reflectance are retrieved consistently from the measured at-sensor radiance. This methodology is tested on images acquired by the Medium Resolution Imaging Spectrometer (MERIS) on board the ENVIron…

Materials scienceCorrelation coefficientbusiness.industryImaging spectrometerFluorescencechemistry.chemical_compoundGeophysicsOpticschemistryAbsorption bandChlorophyllRadianceRadiative transferGeneral Earth and Planetary SciencesbusinessChlorophyll fluorescenceRemote sensingGeophysical Research Letters
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Coupled retrieval of aerosol optical thickness, columnar water vapor and surface reflectance maps from ENVISAT/MERIS data over land

2008

An algorithm for the derivation of atmospheric parameters and surface reflectance data from MEdium Resolution Imaging Specrometer Instrument (MERIS) on board ENVIronmental SATellite (ENVISAT) images has been developed. Geo-rectified aerosol optical thickness (AOT), columnar water vapor (CWV) and spectral surface reflectance maps are generated from MERIS Level-1b data over land. The algorithm has been implemented so that AOT, CWV and reflectance products are provided on an operational manner, making no use of ancillary parameters apart from those attached to MERIS products. For this reason, it has been named Self-Contained Atmospheric Parameters Estimation from MERIS data (SCAPE-M). The fund…

SpectrometerMeteorologyCorrelation coefficientAtmospheric correctionSoil ScienceGeology550 - Earth sciencesAERONETAerosolEnvironmental scienceSatelliteComputers in Earth SciencesImage resolutionWater vaporRemote sensing
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Sun-induced fluorescence - a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant.

2015

Variations in photosynthesis still cause substantial uncertainties in predicting photosynthetic CO2 uptake rates and monitoring plant stress. Changes in actual photosynthesis that are not related to greenness of vegetation are difficult to measure by reflectance based optical remote sensing techniques. Several activities are underway to evaluate the sun-induced fluorescence signal on the ground and on a coarse spatial scale using space-borne imaging spectrometers. Intermediate-scale observations using airborne-based imaging spectroscopy, which are critical to bridge the existing gap between small-scale field studies and global observations, are still insufficient. Here we present the first …

Chlorophyllinduced fluorescencesunImaging spectrometer2306 Global and Planetary ChangeFluorescence2300 General Environmental SciencePhotosynthesiEnvironmental ChemistryAirborne measurement910 Geography & travelSpectral resolutionPhotosynthesisAbsorption (electromagnetic radiation)Spectroscopyairborne measurementsChlorophyll fluorescenceGeneral Environmental ScienceRemote sensingGlobal and Planetary ChangeSpectrometerEcology2300Remote sensingImaging spectroscopyVegetation monitoringFLEXImaging spectroscopy10122 Institute of GeographyGEO/10 - GEOFISICA DELLA TERRA SOLIDASpectrometry FluorescenceSun-induced fluorescence2304 Environmental ChemistryHyPlantRemote Sensing TechnologySunlightEnvironmental scienceSpatial variabilityChlorophyll fluorescence2303 EcologyGlobal change biology
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Correction of systematic spatial noise in push-broom hyperspectral sensors: application to CHRIS/PROBA images

2008

Hyperspectral remote sensing images are affected by different types of noise. In addition to typical random noise, nonperiodic partially deterministic disturbance patterns generally appear in the data. These patterns, which are intrinsic to the image formation process, are characterized by a high degree of spatial and spectral coherence. We present a new technique that faces the problem of removing the spatially coherent noise known as vertical striping, usually found in images acquired by push-broom sensors. The developed methodology is tested on data acquired by the Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-board Autonomy (PROBA) orbital platform, whi…

Image formationmedicine.medical_specialtySpectrometerbusiness.industryComputer scienceMaterials Science (miscellaneous)Noise reductionHyperspectral imagingSpectral density550 - Earth sciencesImage processingIndustrial and Manufacturing EngineeringSpectral imagingNoiseOpticsmedicineImage noiseSpatial frequencyBusiness and International ManagementbusinessRemote sensingApplied Optics
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