0000000000985992

AUTHOR

Christiaan Van Der Tol

showing 13 related works from this author

Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

2019

An unprecedented spectroscopic data stream will soon become available with forthcoming Earth-observing satellite missions equipped with imaging spectroradiometers. This data stream will open up a vast array of opportunities to quantify a diversity of biochemical and structural vegetation properties. The processing requirements for such large data streams require reliable retrieval techniques enabling the spatiotemporally explicit quantification of biophysical variables. With the aim of preparing for this new era of Earth observation, this review summarizes the state-of-the-art retrieval methods that have been applied in experimental imaging spectroscopy studies inferring all kinds of vegeta…

Data streamEarth observation010504 meteorology & atmospheric sciencesComputer scienceUT-Hybrid-D010502 geochemistry & geophysicscomputer.software_genreQuantitative Biology - Quantitative Methods01 natural sciencesArticleGeochemistry and PetrologyFOS: Electrical engineering electronic engineering information engineeringQuantitative Methods (q-bio.QM)0105 earth and related environmental sciencesParametric statisticsData stream miningImage and Video Processing (eess.IV)Electrical Engineering and Systems Science - Image and Video Processing15. Life on land22/4 OA procedureRegressionImaging spectroscopyGeophysicsSpectroradiometer13. Climate actionMulticollinearityFOS: Biological sciencesITC-ISI-JOURNAL-ARTICLEData miningcomputerSurveys in Geophysics
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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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Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges

2014

Chlorophyll a fluorescence (ChlF) has been used for decades to study the organization, functioning, and physiology of photosynthesis at the leaf and subcellular levels. ChlF is now measurable from remote sensing platforms. This provides a new optical means to track photosynthesis and gross primary productivity of terrestrial ecosystems. Importantly, the spatiotemporal and methodological context of the new applications is dramatically different compared with most of the available ChlF literature, which raises a number of important considerations. Although we have a good mechanistic understanding of the processes that control the ChlF signal over the short term, the seasonal link between ChlF…

ChlorophyllChlorophyll aMETIS-306570PhysiologyRemote sensing applicationEcologyChlorophyll AContext (language use)Plant ScienceBiologyPhotochemical Reflectance IndexPhotosynthesisFluorescencePlant Leaveschemistry.chemical_compoundchemistryITC-ISI-JOURNAL-ARTICLEPhotosynthetic acclimationRemote Sensing TechnologyThylakoid membrane organizationBiomassSeasonsPhotosynthesisBiological systemChlorophyll fluorescenceJournal of Experimental Botany
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Quantitative global mapping of terrestrial vegetation photosynthesis

2017

Although traditional remote sensing systems based on spectral reflectance can already provide estimates of the 'potential' photosynthetic activity of terrestrial vegetation through the quantification of total canopy chlorophyll content or absorbed photosynthetic radiation, the determination of the 'actual' photosynthetic activity of terrestrial vegetation requires information about how the absorbed light is used by plants, such as vegetation fluorescence, using very high spectral resolution spectroscopy in the range 650-800 nm. The Fluorescence Explorer (FLEX) mission, selected in November 2015 as the 8th Earth Explorer by the European Space Agency (ESA), carries the FLORIS spectrometer, wi…

Canopy010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyimaging spectroscopy01 natural sciencesphotosynthesivegetationphotosyntesis1706 Computer Science ApplicationsSpectral resolution910 Geography & travelImage resolutionFLEX earth explorer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSpectrometer1900 General Earth and Planetary Sciencesimaging spectrocopyVegetation15. Life on landImaging spectroscopy10122 Institute of Geography13. Climate actionRadianceEnvironmental scienceSatellitefluorescence
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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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Global sensitivity analysis of the A-SCOPE model in support of future FLEX fluorescence retrievals

2014

In support of ESA's Earth Explorer 8 candidate mission FLEX (FLuorescence EXplorer), a Photosynthesis Study has been initiated to quantitatively link fluorescence to photosynthesis. This led to the development of A-SCOPE, a graphical user interface software package that integrates multiple biochemical models into the soil-vegetation-atmosphere-transfer model SCOPE. Its latest version (v1.53) has been successfully verified and was subsequently evaluated through a global sensitivity analysis. By using the method of Saltelli [4], the relative importance of each input variable to model outputs was quantified through first order and total effect sensitivity indices. Variations in leaf area index…

Scope (project management)Computer sciencebusiness.industryHyperspectral imagingSet (abstract data type)FLEXVariable (computer science)global sensitivity analysiSignal ProcessingFLEXSensitivity (control systems)fluorescenceLeaf area indexbusinessA-SCOPEGraphical user interfaceRemote sensing1707
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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 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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An Overview of the Regional Experiments for Land-Atmosphere Exchanges 2012 (Reflex 2012) Campaign

2015

The REFLEX 2012 campaign was initiated as part of a training course on the organization of an airborne campaign to support advancement of the understanding of land-atmosphere interaction processes. This article describes the campaign, its objectives and observations, remote as well as in situ. The observations took place at the experimental Las Tiesas farm in an agricultural area in the south of Spain. During the period of ten days, measurements were made to capture the main processes controlling the local and regional land-atmosphere exchanges. Apart from multi-temporal, multi-directional and multi-spatial space-borne and airborne observations, measurements of the local meteorology, energy…

CarbonioCalibration and validation010504 meteorology & atmospheric sciencesMeteorologyTraining courseland-atmosphere interaction010502 geochemistry & geophysics01 natural sciences7. Clean energyLand-atmosphere interactionAtmosphereSoil temperatureSettore BIO/07 - ECOLOGIACalibration and validationCarbon fluxes0105 earth and related environmental sciencescalibration and validationMulti-scale heterogeneityquantitative remote sensingturbulenceTelerilevamentoTurbulenceAtmosferaGeophysicsmulti-scale heterogeneityEnvironmental scienceddc:526Quantitative remote sensingActa Geophysica
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Sensitivity of scope modelled GPP and fluorescence for different plant functional types

2014

This study addresses the question which factors are responsible for reported positive correlations between solar induced fluorescence (SIF) and gross primary production (GPP). A sensitivity analysis of the model SCOPE, which simulates photosynthesis, fluorescence emission and radiative transfer in canopies, has been carried out for four different plant functional types (PFT): tropical rainforest, C4 crops, C3 crops, and tundra, located in distinct climate zones: tropical everwet (Af), tropical with seasonal drought (savannah, Aw), temperate (Cf), and continental tundra (Dfd). Literature values for structural and physiological parameters and climate reanalysis data were used as input. The ef…

HydrologyIrradianceTropicsHumidityPrimary productionsensitivity analysiAtmospheric sciencesPhotosynthesisgross primary productionTundraSCOPESignal ProcessingTemperate climateEnvironmental sciencefluorescenceplant functional typeTropical rainforest1707
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Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study

2016

Abstract Progress in imaging spectroscopy technology and data processing can enable derivation of the complete sun-induced chlorophyll fluorescence (SIF) emission spectrum. This opens up opportunities to fully exploit the use of the SIF spectrum as an indicator of photosynthetic activity. Simulations performed with the coupled fluorescence–photosynthesis model SCOPE were used to determine how strongly canopy-leaving SIF can be related to net photosynthesis of the canopy (NPC) for various canopy configurations. Regression analysis between SIF retrievals and NPC values produced the following general findings: (1) individual SIF bands that were most sensitive to NPC were located around the fir…

Canopy010504 meteorology & atmospheric sciencesBand analysi0211 other engineering and technologiesSoil Science02 engineering and technology01 natural scienceschemistry.chemical_compoundPhotosynthesiSCOPEEmission spectrumComputers in Earth SciencesLeaf area indexMETIS-315823Chlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingCanopyGeology22/4 OA procedurePhotosynthetic capacityRegressionFLEXImaging spectroscopychemistrySun-induced fluorescenceITC-ISI-JOURNAL-ARTICLEChlorophyllEnvironmental scienceNonlinear regressionRemote Sensing of Environment
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Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

2022

10122 Institute of Geography1903 Computers in Earth SciencesSoil ScienceGeology910 Geography & travelComputers in Earth Sciences1111 Soil Science1907 Geology
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Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

2022

Remote detection and monitoring of the vegetation responses to stress became relevant for sustainable agriculture. Ongoing developments in optical remote sensing technologies have provided tools to increase our understanding of stress-related physiological processes. Therefore, this study aimed to provide an overview of the main spectral technologies and retrieval approaches for detecting crop stress in agriculture. Firstly, we present integrated views on: i) biotic and abiotic stress factors, the phases of stress, and respective plant responses, and ii) the affected traits, appropriate spectral domains and corresponding methods for measuring traits remotely. Secondly, representative result…

Precision agriculturemultispectralbiotic and abiotic stresatelliteSoil Sciencesolar induced fluorescenceGeologymulti-modalPrecision agriculture multi-modal solar-induced fluorescence satellite hyperspectral multispectral biotic and abiotic stressUNESCO::CIENCIAS TECNOLÓGICASITC-HYBRIDhyperspectralITC-ISI-JOURNAL-ARTICLEddc:550Computers in Earth Sciences
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