Search results for "Remote Sensing"

showing 10 items of 1262 documents

Estudio de las fluctuaciones del nivel del agua en la laguna de Gallocanta (Aragón, España) mediante imágenes satelitales de Sentinel-2

2021

[EN] This study has been monitored for five years by Sentinel-2 satellite images, at different seasons of the year, of the fluctuations in the water level of the Gallocanta Lake (between the provinces of Teruel and Zaragoza, Spain) considered a hypersaline and endorheic wetland, which has characteristics that make it unique in the geographical area in which it is located, as well as for the operation of the system. Rainfall in the area has a wide variation giving the maximums in the moths of May and June and the minimums in January and February, with considerable fluctuations in the water level from the almost total drying of the lagoon to the filling with a depth of approximately 3 meters.

Teledetecció010504 meteorology & atmospheric sciencesGeography Planning and Development0211 other engineering and technologiesWetland02 engineering and technologysalino01 natural scienceshumedalFluctuacionesfluctuacionesTeledetecciónEarth and Planetary Sciences (miscellaneous)teledetecciónFluctuationsEndorreico021101 geological & geomatics engineering0105 earth and related environmental sciencesHydrologygeographyGeography (General)geography.geographical_feature_categoryHumedalSalineendorreicoRemote sensingWater levelSalinoWetlandEnvironmental scienceG1-922EndorheicRevista de Teledetección
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Monitoring 10-m LST from the Combination MODIS/Sentinel-2, Validation in a High Contrast Semi-Arid Agroecosystem

2020

Downscaling techniques offer a solution to the lack of high-resolution satellite Thermal InfraRed (TIR) data and can bridge the gap until operational TIR missions accomplishing spatio-temporal requirements are available. These techniques are generally based on the Visible Near InfraRed (VNIR)-TIR variable relations at a coarse spatial resolution, and the assumption that the relationship between spectral bands is independent of the spatial resolution. In this work, we adopted a previous downscaling method and introduced some adjustments to the original formulation to improve the model performance. Maps of Land Surface Temperature (LST) with 10-m spatial resolution were obtained as output fro…

Teledetecció010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesland surface temperature02 engineering and technology01 natural sciencesCopernicus.DownscalingImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingPixelQSpectral bandsVegetationTemperaturaDownscaling; thermal infrared; land surface temperature; disaggregation; CopernicusVNIRdisaggregationSoil waterGeneral Earth and Planetary SciencesEnvironmental sciencethermal infraredSatelliteDownscalingRemote Sensing
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Activities of the IEEE GRSS Spain Chapter

2019

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Presents information on various GRSS Society chapters Peer Reviewed

Teledetecció:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Ciència Societats etc.Remote sensing
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A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity

2015

High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high- and low- spatial-resolution satellites is thought a key factor for studies that require dense time series of high-resolution images, e.g., crop monitoring. There are several fusion methods in the bibliography, but they are time-consuming and complicated to implement. Moreover, the local evaluation of the fused images is rarely analyzed. In this paper, we present a simple and fast fusion method based on a weighted average of two in…

TeledeteccióComputer scienceforêt tropicalehttp://aims.fao.org/aos/agrovoc/c_714remote sensingSimple (abstract algebra)K01 - Foresterie - Considérations généralesBiomassehttp://aims.fao.org/aos/agrovoc/c_6498validationUtilisation des terresEucalyptusFusionQhttp://aims.fao.org/aos/agrovoc/c_14093http://aims.fao.org/aos/agrovoc/c_9000094Plantation forestièreséquestration du carbonehttp://aims.fao.org/aos/agrovoc/c_926http://aims.fao.org/aos/agrovoc/c_1070http://aims.fao.org/aos/agrovoc/c_25409http://aims.fao.org/aos/agrovoc/c_4182P01 - Conservation de la nature et ressources foncièresSpectrométriePhénologiehttp://aims.fao.org/aos/agrovoc/c_2683TélédétectionScienceImage (mathematics)Cartographie de l'occupation du solhttp://aims.fao.org/aos/agrovoc/c_24904TermodinàmicaCouverture végétalehttp://aims.fao.org/aos/agrovoc/c_7283http://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_8176http://aims.fao.org/aos/agrovoc/c_3048MODIS; Landsat; validation; remote sensingRemote sensingChangement climatiqueSeries (mathematics)business.industryCiències de la terraPattern recognitionVégétationhttp://aims.fao.org/aos/agrovoc/c_331583Constraint (information theory)http://aims.fao.org/aos/agrovoc/c_5774SpectroradiometerMODISSatelliteGeneral Earth and Planetary SciencesArtificial intelligenceU30 - Méthodes de recherchebusinessLandsatRemote Sensing; Volume 7; Issue 1; Pages: 704-724
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Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products

2019

2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 28 July - 2 August 2019, Yokohama, Japan

TeledeteccióDQXRoot mean square differenceRemote sensingQuality (physics):Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Benchmark (surveying)Data qualityRange (statistics)ChisquaredEnvironmental scienceSoil moistureSòls -- HumitatWater contentRemote sensingAlternative strategySMOS
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Sentinel 2 and 3 for Temperature Monitoring Over the Amazon

2018

In this work we present results of an early assessment of the performance of the Land Surface Temperature (LST) product retrieved from the Sea and Land Surface Temperature Radiometer (SLSTR) on board the Sentinel-3 satellite (S3/SLSTR) over the Amazon basin. Results are validated from comparison of S3/SLSTR retrievals against in situ measurements of surface temperature collected over one instrumented site in the Peruvian Amazon. The validation exercise was performed on the standard S3/SLSTR Level-2 LST product as well as on a dedicated LST split-window algorithm with an explicit dependence on surface emissivity. Surface emissivity maps obtained from the high spatial resolution of S2/MSI are…

Temperature monitoringRadiometer010504 meteorology & atmospheric sciencesLand surface temperatureAmazon rainforest0211 other engineering and technologies02 engineering and technology01 natural sciencesTemperature measurementSea surface temperatureEmissivityEnvironmental scienceSatellite021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Aerosol optical properties and direct radiative forcing based on measurements from the China Aerosol Remote Sensing Network (CARSNET) in eastern China

2018

Aerosol pollution in eastern China is an unfortunate consequence of the region's rapid economic and industrial growth. Here, sun photometer measurements from seven sites in the Yangtze River Delta (YRD) from 2011 to 2015 were used to characterize the climatology of aerosol microphysical and optical properties, calculate direct aerosol radiative forcing (DARF) and classify the aerosols based on size and absorption. Bimodal size distributions were found throughout the year, but larger volumes and effective radii of fine-mode particles occurred in June and September due to hygroscopic growth and/or cloud processing. Increases in the fine-mode particles in June and September caused AOD440 nm  &…

Termodinàmica atmosfèricaAtmospheric ScienceAngstrom exponent010504 meteorology & atmospheric sciencesSolar zenith angle010501 environmental sciencesMineral dustAtmospheric sciences01 natural scienceslcsh:ChemistrySun photometerAtmosphereSun photometer0105 earth and related environmental sciencesAerosolsRemote sensingRadiative forcinglcsh:QC1-999AerosolDirect aerosol radiative forcinglcsh:QD1-99913. Climate actionExtinction (optical mineralogy)Environmental sciencelcsh:PhysicsAerosol pollutionAtmospheric Chemistry and Physics
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Comparing different profiles to characterize the atmosphere for three MODIS TIR bands

2015

Abstract Accurate land surface temperature (LST) retrievals from sensors aboard orbiting satellites are dependent on the corresponding atmospheric correction, especially in the thermal infrared (TIR) spectral domain (8–14 μm). To remove the atmospheric effects from at-sensor measured radiance in the TIR range it is needed to characterize the atmosphere by means of three specific variables: the upwelling path and the hemispherical downwelling radiances plus the atmospheric transmissivity. Those variables can be derived from the previous knowledge of vertical atmospheric profiles of air temperature and relative humidity at different geo-potential heights and pressures. In this work, the above…

Termodinàmica atmosfèricaAtmospheric ScienceMean squared errorAtmospheric correctionSpectral bandsAtmospheric sciencesWeather stationAtmosphereAtmosferaDownwellingRadianceEnvironmental scienceRelative humidityRemote sensing
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A comparison of Microtops II and satellite ozone measurements in the period 2001-2011

2013

Daily average total ozone Microtops measurements obtained during several campaigns conducted from 2001 to 2011 at latitudes from 31 to 68N and in different seasons are compared with satellite observations. The Microtops ozone is derived using different wavelength combinations (Channel I, 305.5/312.5. nm; Channel II, 312.5/320. nm; and Channel III, 305.5/312.5/320. nm). Satellite data from TOMS, OMI, GOME, and GOME-2 are used in the comparison. The three Microtops channels show a high correlation with the satellite retrievals. Channel I shows the best results and produces a mean bias deviation (MBD) less than 2.14% with respect to TOMS, OMI and GOME. The MBD increases to 3% in the comparison…

Termodinàmica atmosfèricaAtmospheric ScienceOzoneOMIMicrotops II;OMI;TOMS;GOME;GOME-2;Total ozone contentMicrotops IITotal ozoneGeofísicaAtmospheric sciencesLatitudeTotal ozone contentWavelengthchemistry.chemical_compoundGOME-2GeophysicsTOMSchemistrySpace and Planetary ScienceSatellite dataEnvironmental scienceSatelliteGOMERemote sensingCommunication channel
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Retrieval of characteristic parameters for water vapour transmittance in the development of ground based Sun-Sky radiometric measurements of columnar…

2014

Abstract. Sun–sky radiometers are instruments created for aerosol study, but they can measure in the water vapour absorption band allowing the estimation of columnar water vapour in clear sky simultaneously with aerosol characteristics, with high temporal resolution. A new methodology is presented for estimating calibration parameters (i.e. characteristic parameters of the atmospheric transmittance and solar calibration constant) directly from the sun–sky radiometer measurements. The methodology is based on the hypothesis that characteristic parameters of the atmospheric transmittance are dependent on vertical profiles of pressure, temperature and moisture occurring at each site of measurem…

Termodinàmica atmosfèricaAtmospheric ScienceRadiometerMoisturelcsh:TA715-787Microwave radiometerlcsh:Earthwork. FoundationsSolar zenith angleCiències de la terraAerosollcsh:Environmental engineeringAtmosferaInfrared windowEnvironmental scienceRelative humiditylcsh:TA170-171Water vaporRemote sensing
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