Search results for " radiometry"

showing 10 items of 18 documents

Intercomparison of Soil Moisture Retrieved from GNSS-R and from Passive L-Band Radiometry at the Valencia Anchor Station

2019

In this paper, the SOMOSTA (Soil Moisture Monitoring Station) experiment on the intercomparison of soil moisture monitoring from Global Navigation Satellite System Reflectometry (GNSS-R) signals and passive L-band microwave radiometer observations at the Valencia Anchor Station is introduced. The GNSS-R instrument has an up-looking antenna for receiving direct signals from satellites, and a dual-pol down-looking antenna for receiving LHCP (left-hand circular polarization) and RHCP (right-hand circular polarization) reflected signals from the soil surface. Data were collected from the three different antennas through the two channels of Oceanpal GNSS-R receiver and, in addition, calibration …

010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyELBARA-II radiometerlcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistrylcsh:TP1-1185L-band radiometryElectrical and Electronic EngineeringOceanpalReflectometryInstrumentationWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingValencia Anchor StationRadiometerMoistureGNSS-RMicrowave radiometerAtomic and Molecular Physics and OpticsGNSS applicationsSoil waterEnvironmental scienceRadiometrysoil moistureSensors
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Two-year global simulation of L-band brightness temperatures over land

2003

International audience; This letter presents a synthetic L-band (1.4 GHz) multiangular brightness temperature dataset over land surfaces that was simulated at a half-degree resolution and at the global scale. The microwave emission of various land-covers (herbaceous and woody vegetation, frozen and unfrozen bare soil, snow, etc.) was computed using a simple model [L-band Microwave Emission of the Biosphere (L-MEB)] based on radiative transfer equations. The soil and vegetation characteristics needed to initialize the L-MEB model were derived from existing land-cover maps. Continuous simulations from a land-surface scheme for 1987 and 1988 provided time series of the main variables driving t…

010504 meteorology & atmospheric sciences0211 other engineering and technologiesmodeling02 engineering and technologyLand coverVegetation[INFO.INFO-IA]Computer Science [cs]/Computer Aided EngineeringSnow01 natural sciencesPhysics::GeophysicsBrightness temperatureglobal scaleSoil waterRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceRadiometryL-band radiometryElectrical and Electronic Engineeringsoil moistureWater content[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

2013

Imaging using lightweight, unmanned airborne vehicles (UAVs) is one of the most rapidly developing fields in remote sensing technology. The new, tunable, Fabry-Perot interferometer-based (FPI) spectral camera, which weighs less than 700 g, makes it possible to collect spectrometric image blocks with stereoscopic overlaps using light-weight UAV platforms. This new technology is highly relevant, because it opens up new possibilities for measuring and monitoring the environment, which is becoming increasingly important for many environmental challenges. Our objectives were to investigate the processing and use of this new type of image data in precision agriculture. We developed the entire pro…

010504 meteorology & atmospheric sciencesComputer scienceScienceta11710211 other engineering and technologiesPoint cloudStereoscopyradiometry02 engineering and technologyphotogrammetry01 natural scienceslaw.inventionspectrometryradiometriamaatalouslawbiomassa (teollisuus)photogrammetry; radiometry; spectrometry; hyperspectral; UAV; DSM; point cloud; biomass; agriculturefotogrammetriaagriculture021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingta1132. Zero hungerbiomassuavQHyperspectral imagingta4111photogrammetriaReflectivityhyperspektridsmInterferometryspektrometriahyperspectralPhotogrammetry13. Climate actionRemote sensing (archaeology)GeoreferenceGeneral Earth and Planetary SciencesRadiometrypistepilviPrecision agriculturepoint cloudRemote Sensing
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Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

2017

Made available in DSpace on 2018-12-11T17:11:58Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-03-01 Suomen Akatemia Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. Three-dimensional (3D) hyperspectral remote sensing is a novel and powerful technology that has recently become available to small UAVs. This study investigated the performance of UAV-based photogrammetry and hyperspectral imaging in individual tree detection and tree species classification in boreal forests. Eleven test sites with 4151 reference trees repr…

010504 meteorology & atmospheric sciencesComputer scienceUAV0211 other engineering and technologiesPoint cloudta117102 engineering and technologyradiometryphotogrammetry01 natural sciencesforestComputer visionForestRadiometrylcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingfotogrammetriata113UAV; hyperspectral; photogrammetry; radiometry; point cloud; forest; classificationluokitus (toiminta)ta114business.industryHyperspectral imaging15. Life on landOtaNanoClassificationRandom forestPoint cloudTree (data structure)PhotogrammetryhyperspectralHyperspectralclassification13. Climate actionMultilayer perceptronPhotogrammetryGeneral Earth and Planetary SciencesRadiometryRGB color modellcsh:QArtificial intelligencebusinesspoint cloudRemote Sensing; Volume 9; Issue 3; Pages: 185
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Comparison between SMOS Vegetation Optical Depth products and MODIS vegetation indices over crop zones of the USA

2014

The Soil Moisture and Ocean Salinity (SMOS) mission provides multi-angular, dual-polarised brightness temperatures at 1.4 GHz, from which global soil moisture and vegetation optical depth (tau) products are retrieved. This paper presents a study of SMOS' tau product in 2010 and 2011 for crop zones of the USA. Retrieved tau values for 504 crop nodes were compared to optical/IR vegetation indices from the MODES (Moderate Resolution Imaging Spectroradiometer) satellite sensor, including the Normalised Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVE), Leaf Area Index (LAI), and a Normalised Difference Water Index (NOW!) product. tau values were observed to increase during the…

2. Zero hunger010504 meteorology & atmospheric sciences0211 other engineering and technologiesSoil ScienceGrowing seasonGeology02 engineering and technologyVegetationEnhanced vegetation index01 natural sciencesNormalized Difference Vegetation Indexvegetation optical depthLinear regressionEnvironmental scienceL-band radiometryModerate-resolution imaging spectroradiometerComputers in Earth SciencesLeaf area indexoptical vegetation indices[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingWater contentSMOS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Roughness and vegetation parameterizations at L-band for soil moisture retrievals over a vineyard field

2015

Abstract The capability of L-band radiometry to monitor surface soil moisture (SM) at global scale has been analyzed in numerous studies, mostly in the framework of the ESA SMOS and NASA SMAP missions. To retrieve SM from L-band radiometric observations, two significant effects have to be accounted for, namely soil roughness and vegetation optical depth. In this study, soil roughness effects on retrieved SM values were evaluated using brightness temperatures acquired by the L-band ELBARA-II radiometer, over a vineyard field at the Valencia Anchor Station (VAS) site during the year 2013. Different combinations of the values of the model parameters used to account for soil roughness effects (…

BrightnessL bandRadiometerMean squared error[SDE.MCG]Environmental Sciences/Global ChangesSoil ScienceGeology15. Life on landL-bandAtmospheric radiative transfer codesL-MEBvegetationCalibrationsoil roughnessRadiometryEnvironmental sciencemicrowave radiometryComputers in Earth Sciencessoil moistureWater content[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUSRemote sensingSMOS
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SMOS REFLEX 2003: L-band emissivity characterization of vineyards

2005

The goal of the Soil Moisture and Ocean Salinity mission over land is to infer surface soil moisture from multiangular L-band radiometric measurements. As the canopy affects the microwave emission of land, it is necessary to characterize different vegetation layers. This paper presents the Reference Pixel L-Band Experiment (REFLEX), carried out in June-July 2003 at the Vale/spl grave/ncia Anchor Station, Spain, to study the effects of grapevines on the soil emission and on the soil moisture retrieval. A wide range of soil moisture (SM), from saturated to completely dry soil, was measured with the Universitat Polite/spl grave/cnica de Catalunya's L-band Automatic Radiometer (LAURA). Concurre…

Canopy010504 meteorology & atmospheric sciencesUniversitat Politecnica de CatalunyaOceanografia -- Instruments0211 other engineering and technologiesMicrowave measurements02 engineering and technologyradiometryAtmospheric sciencesSensors remots01 natural sciencesvineyardsHidrologia -- Aparells i instrumentssoil emissionWater contentGeophysical instrumentsmicrowave measurementValencia Anchor StationRemote sensing[INFO.INFO-IA] Computer Science [cs]/Computer Aided EngineeringL-band emissivitysoil roughnessVegetació -- CartografiaOpacitysoil temperaturevegetation mappingOceanographic instrumentsBoundary layer (Meteorology)VineyardsoilGeofísica -- Aparells i instrumentsCapa límit (Meteorologia)Hydrological instrumentsEmissivity:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Circuits de microones radiofreqüència i ones mil·limètriques [Àrees temàtiques de la UPC]RadiometriaElectrical and Electronic EngineeringL-band microwave radiometry021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingReference Pixel L-Band ExperimentRadiometervegetation layersopacity15. Life on land[INFO.INFO-IA]Computer Science [cs]/Computer Aided EngineeringAD 2003 06 to 07SMOS REFLEX 2003:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Soil waterMicroones -- MesuramentL-band Automatic RadiometerGeneral Earth and Planetary SciencesEnvironmental scienceRadiometryhydrological techniquesSoil Moisture and Ocean Salinity missionsoil moistureLAURAland microwave emissionalbedo
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A simple method for the photometric characterization of organic light-emitting diodes

2022

A simple method for the photometric characterization of organic light-emitting diodes (OLEDs) is reported. It is based on the indirect measurement of the total emitted optical power by using a calibrated photodiode and the optical emission spectrum and space emission diagram of the OLED. From this and by measuring the current–voltage characteristic of the OLED all the relevant radiometric and photometric quantities can be extracted, including the external quantum efficiency. The usual method to collect all photons emitted by a LED source in the half space uses an integrating sphere with the LED source placed at the entrance hole and a photodiode (PD) placed at an exit hole at some point on …

HistoryPolymers and PlasticsMaterials ChemistryOrganic light-emitting diodes (OLEDs) External quantum efficiency Radiometry Photometry AlQ3Business and International ManagementElectrical and Electronic EngineeringCondensed Matter PhysicsSettore ING-INF/01 - ElettronicaIndustrial and Manufacturing EngineeringElectronic Optical and Magnetic MaterialsSolid-State Electronics
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Incidence Angle Diversity on L-Band Microwave Radiometry and Its Impact on Consistent Soil Moisture Retrievals

2021

Incidence angle diversity of space-borne L-band radiometers needs to be taken into account for a consistent estimation of surface soil moisture (SM). In this study, the Land Parameter Retrieval Model (LPRM) is applied to SMOS brightness temperatures to calibrate the effective scattering albedo (w) and the soil roughness (h 1 ) parameter against ERA5-land SM. The analysis is carried out for SMOS data at three different incidence angles ( 32.5±5∘, 42.5±5∘ and 52.5±5∘ ) focusing in 2016 on the three main land cover types of the Iberian Peninsula according to the Climate Change Initiative (agricultural, forest and grassland). The parameterization shows an increasing trend of w and h 1 with rise…

L bandBrightnessmicrowaveincidence angleScattering albedoradiometryLand coverAtmospheric sciencesMicroonesmulti-angularMicrowavesWater contentRadiometerScattering:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]AlbedoL-bandSatèl·lits artificials en teledeteccióEnvironmental scienceSoil moistureRoughness and incidence angle diversitysoil moistureMicrowave radiometryLPRMArtificial satellites in remote sensingSMOS
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Intercomparison of soil moisture retrieved from GNSS-R and passive L-band radiometry at the Valencia Anchor Station

2016

In this paper, the SOMOSTA (Soil Moisture Monitoring Station) experiment on soil moisture monitoring by Global Navigation Satellite System Reflected signals(GNSS-R) at the Valencia Anchor Station is introduced.

L bandRadiometer010504 meteorology & atmospheric sciencesbiology0208 environmental biotechnologySatellite system02 engineering and technologybiology.organism_classification01 natural sciences020801 environmental engineeringL band radiometryGNSS applicationsRemote sensing (archaeology)Environmental scienceValenciaWater content0105 earth and related environmental sciencesRemote sensing2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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