Search results for "teledetecció"

showing 10 items of 71 documents

L-band vegetation optical depth seasonal metrics for crop yield assessment

2018

Attenuation of surface microwave emission due to the overlying vegetation is proportional to the density of the canopy and to its water content. The vegetation optical depth (VOD) parameter measures this attenuation. VOD could be a valuable source of information on agroecosystems, especially at lower frequencies for which greater portion of the vegetation canopy contributes to the observed brightness temperature. In the past, visible-infrared indices have been used to provide yield estimates based on measuring the photosynthetic activity from the surface canopy layer. These indices are affected by clouds and apply only in the presence of solar illumination. In this study we instead use the …

CanopyTeledetecció010504 meteorology & atmospheric sciencesYield (finance)0211 other engineering and technologiesSoil Science02 engineering and technologyradiometryAtmospheric sciencesSMAPA01 natural sciencesStandard deviationopticalCrop yieldComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingVegetationCrop yieldMicrowave radiometerGeologyVegetation:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]Remote sensinggroecosystemsdepthL-bandPrincipal component analysisSpatial ecologyEnvironmental science
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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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Monitoring the whiting phenomenon in Lake La Cruz (Cuenca, Spain)

2020

[EN] In the present study, a five-year follow-up was performed by remote sensing of the calcium carbonate precipitation in La Gitana karstic lake also known as La Cruz (located on the province of Cuenca, Spain). The important role that calcium carbonate precipitation plays in the ecology of the lake is well known for its influence on the vertical migrations of phytoplankton, the concentration of bioavailable phosphorus and, therefore, the eutrophication and quality of the waters. Whiting take place between the months of July and August, and it can be studied at this time through its optical properties, with the main objective of offering updated data on a phenomenon traditionally studied an…

Carbonato cálcicoTeledetecciónKarstPrecipitationRemote sensingWhitingCalcium carbonateFenómeno blancoPrecipitación
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FluorMODleaf: A new leaf fluorescence emission model based on the PROSPECT model

2010

International audience; A new model of chlorophyll a fluorescence emission by plant leaves, FluorMODleaf, is presented. It is an extension of PROSPECT, a widely used leaf optical properties model that regards the leaf as a pile of N absorbing and diffusing elementary plates. In FluorMODleaf, fluorescence emission of an infinitesimal layer of thickness dx is integrated over the entire elementary plate. The fluorescence source function is based on the excitation spectrum of diluted isolated thylakoids and on the emission spectra of isolated photosystems, PSI and PSII, which are the main pigment–protein complexes involved in the initial stages of photosynthesis. Scattering within the leaf is p…

Chlorophyll aMaterials scienceTeledetecció010504 meteorology & atmospheric sciencesAnalytical chemistrySoil Science01 natural sciences010309 opticschemistry.chemical_compoundOptics0103 physical sciences[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyEmission spectrumComputers in Earth SciencesChlorophyll fluorescence0105 earth and related environmental sciencesRemote sensing[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Scatteringbusiness.industryAbsorption cross sectionGeologyFluorescenceFluorescènciachemistryChlorophyllQuantum efficiencybusiness
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L-Band vegetation optical depth for crop phenology monitoring and crop yield assessment

2018

Vegetation Optical Depth (VOD) at L-band is highly sensitive to the water content and above-ground biomass of vegetation. Hence, it has great potential for monitoring crop phenology and for providing crop yield forecasts. Recently, the Multi-Temporal Dual Channel Algorithm (MT -DCA) has been proposed to retrieve L-band VOD from Soil Moisture Active Passive (SMAP) measurements. In previous research, SMAP VOD has been compared to crop phenology and has been used to derive crop yield estimates. Here, we review and expand these initial research studies. In particular, we quantify the capability of VOD to detect different crop stages, and test different VOD metrics (i.e., maximum, range and inte…

Crop phenologyL bandCrop phenologyYield forecastsTeledetecció010504 meteorology & atmospheric sciencesAgricultural engineering0211 other engineering and technologiesSoil science02 engineering and technology:Enginyeria agroalimentària [Àrees temàtiques de la UPC]01 natural sciencesphenologyCropEnginyeria agronòmicacropWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesBiomass (ecology)business.industryCrop yieldVODVegetationSMAPRemote sensingyieldAgro-ecosystemsL-band:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]AgricultureEnvironmental scienceVegetation optical DepthRadiometerbusiness
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Analyzing the anisotropy of thermal infrared emissivity over arid regions using a new MODIS land surface temperature and emissivity product (MOD21)

2015

Abstract The MOD21 Land Surface Temperature and Emissivity (LST&E) product will be included in forthcoming Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6. Surface temperature and emissivities for thermal bands 29 (8.55 μm), 31 (11 μm) and 32 (12 μm) will be retrieved using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Temperature and Emissivity Separation (TES) method adapted to MODIS at-sensor spectral radiances, previously corrected with the Water Vapor Scaling method (MOD21 algorithm). We simulated MOD21 product estimates over two different sandy deserts (i.e. White Sands and Great Sands) using a series of MODIS scenes from 2010 to 2013. T…

DaytimeTeledeteccióSoil ScienceGeologyTemperatura atmosfèricaAdvanced Spaceborne Thermal Emission and Reflection RadiometerThermalEmissivityTermodinàmicaEnvironmental scienceModerate-resolution imaging spectroradiometerComputers in Earth SciencesAnisotropyZenithWater vaporRemote sensing
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Clasificación de usos del suelo a partir de imágenes Sentinel-2

2017

[EN] Sentinel-2 (S2), a new ESA satellite for Earth observation, accounts with 13 bands which provide high-quality radiometric images with an excellent spatial resolution (10 and 20 m) ideal for classification purposes. In this paper, two objectives have been addressed: to determine the best classification method for S2, and to quantify its improve-ment with respect to the SPOT operational mission. To do so, four classifiers (LDA, RF, Decision Trees, K-NN) have been selected and applied to two different agricultural areas located in Valencia (Spain) and Buenos Aires (Argentina). All classifiers were tested using, on the one hand, all the S2 bands and, on the other hand, only selecting those…

Earth observation010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentDecision treeClasificación01 natural sciencesÍndice Kappa0504 sociologyEarth and Planetary Sciences (miscellaneous)TeledetecciónImage resolution0105 earth and related environmental sciencesRemote sensingUsos del sueloLandLand useKappa index05 social sciences050401 social sciences methodsRemote sensingClassificationLand use mapGeographyClassification methodsSentinel-2Relevant informationCartographyClassifier (UML)
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A carbon sink-driven approach to estimate gross primary production from microwave satellite observations

2019

Abstract Global estimation of Gross Primary Production (GPP) - the uptake of atmospheric carbon dioxide by plants through photosynthesis - is commonly based on optical satellite remote sensing data. This presents a source-driven approach since it uses the amount of absorbed light, the main driver of photosynthesis, as a proxy for GPP. Vegetation Optical Depth (VOD) estimates obtained from microwave sensors provide an alternative and independent data source to estimate GPP on a global scale, which may complement existing GPP products. Recent studies have shown that VOD is related to aboveground biomass, and that both VOD and temporal changes in VOD relate to GPP. In this study, we build upon…

Earth observationTeledetecció010504 meteorology & atmospheric sciences0208 environmental biotechnologySoil ScienceComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyData_CODINGANDINFORMATIONTHEORY01 natural sciencesCross-validationFluxNetVegetacióComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingRadiometerComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPrimary productionGeology15. Life on landScatterometer020801 environmental engineeringSpectroradiometer13. Climate actionEnvironmental scienceSpatial variability
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Development of an Earth observation processing chain for crop biophysical parameters at local and global scale

2017

[ES] Reseña de tesis doctoral defendida el 17 de Julio de 2017. Lugar: Facultat de Física, Universitat de València.

Earth observationVegetation010504 meteorology & atmospheric sciencesScale (ratio):CIENCIAS TECNOLÓGICAS::Tecnología del espacio ::Satélites artificiales [UNESCO]Geography Planning and DevelopmentUNESCO::CIENCIAS TECNOLÓGICAS::Tecnología del espacio ::Satélites artificiales0211 other engineering and technologieslcsh:G1-922Earth02 engineering and technologyAgricultural engineeringRemote sensingUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Geología::Teledetección (geología)01 natural sciencesRadiative transfer modelingChain (unit)Biophysical parametersMachine learningEarth and Planetary Sciences (miscellaneous)Environmental science:CIENCIAS DE LA TIERRA Y DEL ESPACIO::Geología::Teledetección (geología) [UNESCO]lcsh:Geography (General)021101 geological & geomatics engineering0105 earth and related environmental sciencesRevista de Teledetección
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Development of atmospheric correction algorithms for very high spectral and spatial resolution images: application to SEOSAT and the FLEX/Sentinel-3 …

2018

Advanced high spectral and spatial resolution imager spectrometers on board new generation of Earth Observation missions bring new exciting opportunities to the remote sensing scientific community. However, this progress goes hand in hand with new challenges. The exploitation of data acquired from these family of advanced instruments requires new processing algorithms able to deal with these particularities. As part of this evolution, atmospheric correction algorithms - a mandatory processing step applied prior to the Earth surface reflectance data exploitation - must be adapted or reformulated, thereby paying special attention to how atmospheric effects disturb the acquired signal in the s…

FLuorescence EXplorer (FLEX)Corrección atmosféricateledetecciónFluorescencia:CIENCIAS DE LA TIERRA Y DEL ESPACIO [UNESCO]SEOSATUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO
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