Search results for "land surface"

showing 10 items of 76 documents

Classifying Major Explosions and Paroxysms at Stromboli Volcano (Italy) from Space

2021

Stromboli volcano has a persistent activity that is almost exclusively explosive. Predominated by low intensity events, this activity is occasionally interspersed with more powerful episodes, known as major explosions and paroxysms, which represent the main hazards for the inhabitants of the island. Here, we propose a machine learning approach to distinguish between paroxysms and major explosions by using satellite-derived measurements. We investigated the high energy explosive events occurring in the period January 2018–April 2021. Three distinguishing features are taken into account, namely (i) the temporal variations of surface temperature over the summit area, (ii) the magnitude of the …

High energygeographygeography.geographical_feature_categorysatellite remote sensingExplosive materialLand surface temperaturemachine learning classifierScienceQPlume heightoptical imageryMagnitude (mathematics)volcanic explosionsPlumeVolcanoGeneral Earth and Planetary Sciencesradar imageryvolcanic explosions; satellite remote sensing; machine learning classifier; optical imagery; radar imagerySeismologyGeologyVolcanic ashRemote Sensing
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Single-channel and two-channel methods for land surface temperature retrieval from DAIS data and its application to the Barrax site

2004

In this paper, a methodology using a single-channel and a two-channel method is presented to estimate the land surface temperature from the DAIS (Digital Airborne Imaging Spectrometer) thermal channels 74 (8.747 µm), 75 (9.648 µm), 76 (10.482 µm), 77 (11.266 µm), 78 (11.997 µm) and 79 (12.668 µm). The land surface temperature retrieved with both methods has been validated over the Barrax site (Albacete, Spain) in the framework of the DAISEX (Digital Airborne Imaging Spectrometer Experiment) field campaigns. Prior to the validation an analysis of the DAIS data quality has been performed in order to check the agreement between in situ data and the values extracted from the DAIS images supplie…

HydrologyLand surface temperatureData qualityInstrumentationImaging spectrometerCalibrationGeneral Earth and Planetary SciencesEnvironmental scienceDaisRemote sensingCommunication channelInternational Journal of Remote Sensing
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Validation of Collection 6 MODIS land surface temperature product using in situ measurements

2019

Land surface temperature (LST) is an important physical quantity at the land-atmosphere interface. Since 2016 the Collection 6 (C6) MODIS LST product is publicly available, which includes three refinements over bare soil surfaces compared to the Collection 5 (C5) MODIS LST product. To encourage the use of the C6 MODIS LST product in a wide range of applications, it is necessary to evaluate the accuracy of the C6 MODIS LST product. In this study, we validated the C6 MODIS LST product using temperature-based method over various land cover types, including grasslands, croplands, cropland/natural vegetation mosaic, open shrublands, woody savannas, and barren/sparsely vegetated. In situ measurem…

In situDaytimeTeledetecció010504 meteorology & atmospheric sciencesLand surface temperaturebiology0208 environmental biotechnologySoil ScienceGeology02 engineering and technologyLand coverTemperaturabiology.organism_classification01 natural sciences020801 environmental engineeringHomogeneousTermodinàmicaEnvironmental scienceSatelliteComputers in Earth SciencesAster (genus)Scale (map)0105 earth and related environmental sciencesRemote sensing
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A Split-Window Algorithm for Estimating LST From Meteosat 9 Data: Test and Comparison With Data and MODIS LSTs

2009

The main purpose of this letter is to give an operational algorithm for retrieving the land surface temperature (LST) using the Spinning Enhanced Visible and Infrared Imager data onboard the Meteosat Second Generation (MSG2) satellite. The algorithm is a split-window method using the two thermal infrared channels IR10.8 and IR12.0. The MODTRAN 4.0 code was used to obtain numerical coefficients of the algorithm proposed. The results show that for viewing angles lower than 50deg the algorithm is capable of producing LST with a standard deviation of 0.7 K and a root-mean-square error (rmse) of 1.3 K. The algorithm has been applied to a series of MSG2 images obtained from an MSG antenna system …

In situMeteorologyLand surface temperatureMean squared errorMODTRANGeotechnical Engineering and Engineering GeologyStandard deviationEnvironmental scienceSatelliteElectrical and Electronic EngineeringSplit windowImage retrievalAlgorithmRemote sensingIEEE Geoscience and Remote Sensing Letters
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MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes

2016

One of the major problems in the monitoring of tropical rainforests using satellite imagery is their persistent cloud coverage. The use of daily observations derived from high temporal resolution sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), could potentially help to mitigate this issue, increasing the number of clear-sky observations. However, the cloud contamination effect should be removed from these results in order to provide a reliable description of these forests. In this study the available MODIS Land Surface Temperature (LST) products have been reprocessed over the Amazon Basin (10 N–20 S, 80 W–45 W) by introducing different cloud masking schemes. The mont…

Information Systems and Management010504 meteorology & atmospheric sciencesLand surface temperatureAmazon rainforestbusiness.industry0211 other engineering and technologiesCloud computing02 engineering and technologyRainforest01 natural sciencesComputer Science ApplicationsSpatial ecologyHigh temporal resolutionEnvironmental scienceSatellite imageryModerate-resolution imaging spectroradiometerbusiness021101 geological & geomatics engineering0105 earth and related environmental sciencesInformation SystemsRemote sensingData
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The Land Surface Temperature Synergistic Processor in BEAM: A Prototype towards Sentinel-3

2016

Land Surface Temperature (LST) is one of the key parameters in the physics of land-surface processes on regional and global scales, combining the results of all surface-atmosphere interactions and energy fluxes between the surface and the atmosphere. With the advent of the European Space Agency (ESA) Sentinel 3 (S3) satellite, accurate LST retrieval methodologies are being developed by exploiting the synergy between the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature Radiometer (SLSTR). In this paper we explain the implementation in the Basic ENVISAT Toolbox for (A)ATSR and MERIS (BEAM) and the use of one LST algorithm developed in the framework of the Syner…

Information Systems and ManagementRadiometersentinels; sensor synergy; OLCI; SLSTR; land surface temperature; BEAM010504 meteorology & atmospheric sciencesLand surface temperature0211 other engineering and technologiesImaging spectrometerFOS: Physical sciences02 engineering and technologyAATSR01 natural sciencesGeophysics (physics.geo-ph)Computer Science ApplicationsMedium resolutionPhysics - GeophysicsEmissivitySatelliteBeam (structure)021101 geological & geomatics engineering0105 earth and related environmental sciencesInformation SystemsRemote sensing
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Simulation of surface energy fluxes and meteorological variables using the Regional Atmospheric Modeling System (RAMS): Evaluating the impact of land…

2018

Atmospheric mesoscale numerical models are commonly used not only for research and air quality studies, but also for other related applications, such as short-term weather forecasting for atmospheric, hydrological, agricultural and ecological modelling. A key element to produce faithful simulations is the proper representation of the soil parameters used in the initialization of the corresponding mesoscale numerical model. The Regional Atmospheric Modeling System (RAMS) is used in the current study. The model code has been updated in order to permit the model to be initialized using a heterogeneous soil moisture and temperature distribution derived from land surface models. Particularly, RA…

Land coverAtmospheric ScienceNumerical weather prediction/forecasting010504 meteorology & atmospheric sciencesMeteorology0208 environmental biotechnologyWeather forecastingMesoscale meteorologyInitialization02 engineering and technologyLand covercomputer.software_genre01 natural sciencesMesoscale modellingWeather stationData assimilationFluxNetMeteorologiaLand surface modelsSurface energy fluxes0105 earth and related environmental sciencesGlobal and Planetary ChangeSoil initializationFísica de la TierraForestry020801 environmental engineeringRegional Atmospheric Modeling SystemEnvironmental scienceAgronomy and Crop Sciencecomputer
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A method for soil moisture probes calibration and validation of satellite estimates

2017

Graphical abstract

Land surface processes010504 meteorology & atmospheric sciencesOtras Ciencias de la Tierra y relacionadas con el Medio AmbienteClinical Biochemistry0211 other engineering and technologiesContext (language use)Soil science02 engineering and technologySoil water content01 natural sciencesREMOTE SENSINGCiencias de la Tierra y relacionadas con el Medio Ambiente//purl.org/becyt/ford/1 [https]//purl.org/becyt/ford/1.5 [https]Pedotransfer functionCalibrationlcsh:ScienceWater contentComputingMethodologies_COMPUTERGRAPHICS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSOIL MOISTURE AND OCEAN SALINITY (SMOS)Oceanografía Hidrología Recursos HídricosSoil classificationMethod ArticleSOIL WATER CONTENTRemote sensingSoil typeMedical Laboratory TechnologySoil Moisture and Ocean Salinity (SMOS)LAND SURFACE PROCESSESSoil waterEnvironmental scienceSatellitelcsh:QCIENCIAS NATURALES Y EXACTASMethodsX
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Time-domain based feature space at FLUXNET sites for vegetation patterns identification

2019

Monitoring the flux transfer of mass and energy occurring within the soil-plant-atmosphere continuum is a pivotal key for understanding hydrological and vegetation relationships. Average daily values of the Priestley - Taylor (PT) parameter were calculated for 4 eddy covariance (EC) flux tower sites from FLUXNET network, characterized by different vegetation features, over the 2010-12 reference period. Site-by-site feature spaces (built by difference in diurnal and night-time land surface temperature versus enhanced vegetation index, ΔLST-EVI) were obtained by combining satellite data (MODIS) and observed PT parameter (ϕ) retrieved by FLUXNET surface energy balance (SEB) fluxes. The results…

Land surface temperatureFeature vectorEddy covarianceEnhanced vegetation indexEddy covarianceEVIAtmospheric sciencessurface energy balance fluxesEddy covariance; EVI; Land Surface Temperature; surface energy balance fluxesFlux (metallurgy)FluxNetEnvironmental monitoringEnvironmental scienceTime domainLand Surface Temperature
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A physical model for interpreting the land surface temperature obtained by remote sensors over incomplete canopies

1992

Abstract At the present moment, land surface temperature cannot be obtained in a routine way from satellite data due, in part, to the nonexistence of a complete theoretical model that permits us to know the physical significance of land surface temperature obtained by remote sensors. In this article a relationship between the effective temperature of the radiative system vegetation-ground and the temperatures of each part of the system (top, sunny and shaded wall of vegetation, and sunny and shaded soil) has been derived. It depends on the proportions of each component observed by the sensor, on the ground and vegetation emissivities, and on the crop structure (mean height, width, and spaci…

Land surface temperatureMathematical modelSoil waterRadianceEmissivityRadiative transferSoil ScienceEnvironmental scienceGeologyInversion (meteorology)Computers in Earth SciencesEffective temperatureRemote sensingRemote Sensing of Environment
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