Search results for "Logic"

showing 10 items of 33629 documents

Estimating high resolution evapotranspiration from disaggregated thermal images

2016

Abstract Accurate evapotranspiration (ET) estimations based on surface energy balance from remote sensing require information in the thermal infrared (TIR) domain, normally provided with an insufficient spatial resolution. In order to estimate ET in heterogeneous agricultural areas, we inspect in this paper the use of disaggregation techniques applied to two different sensors, such as MODIS (daily revisit cycle and 1 km spatial resolution in the TIR domain) and Spot 5 (5 days revisit cycle and 10 m spatial resolution in the VNIR bands but no TIR band). Spot 5 images were used as a proxy for upcoming Sentinel-2. The Simplified Two-Source Energy Balance (STSEB) model was used for the estimati…

010504 meteorology & atmospheric sciencesLand surface temperatureMeteorology0211 other engineering and technologiesEnergy balanceSoil ScienceHigh resolutionGeology02 engineering and technologySensible heat01 natural sciencesVNIREvapotranspirationThermalEnvironmental scienceComputers in Earth SciencesImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Using MSG-Seviri Data to Monitor the Planet in Near Real Time

2018

The SEVIRI (Spinning Enhanced Visible and Infra Red Imager) instrument onboard MSG (Meteosat Second Generation) satellite series provides valuable data for the observation of our planet. We describe here the processing chain implemented at the Global Change Unit of the University of Valencia to provide information such as vegetation index, temperatures of both land and sea, synthetic quicklooks for an easy interpretation of the data as well as fire hotspots. Vegetation index and temperature data are available for download from a dedicated portal updated every 3 hours with the most recent processed data. Additionally, a web page displays this information for a non scientific public in near r…

010504 meteorology & atmospheric sciencesLand surface temperatureReal-time computing0211 other engineering and technologiesGlobal change02 engineering and technologyVegetation01 natural sciencesSea surface temperaturePlanetWeb pageEnvironmental scienceSatelliteVegetation Index021101 geological & geomatics engineering0105 earth and related environmental sciencesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Comparison and Evaluation of the TES and ANEM Algorithms for Land Surface Temperature and Emissivity Separation over the Area of Valencia, Spain

2017

Land Surface temperature (LST) is a key magnitude for numerous studies, especially for climatology and assessment of energy fluxes between surface and atmosphere. Retrieval of accurate LST requires a good characterization of surface emissivity. Both quantities are coupled in a single radiance measurement; for this reason, for N spectral bands available in a remote sensor, there will always be N + 1 unknowns. To solve the indeterminacy, temperature-emissivity separation methods have been proposed, among which the Temperature Emissivity Separation (TES) algorithm is one of the most widely used. The Adjusted Normalized Emissivity Method (ANEM) was proposed as a modification of the Normalized E…

010504 meteorology & atmospheric sciencesLand surface temperatureScience0211 other engineering and technologiesland surface temperature02 engineering and technology01 natural sciencesASTERTES; ANEM; land surface temperature; emissivity; ASTER; thermal infraredTermodinàmicaEmissivityValencia021101 geological & geomatics engineering0105 earth and related environmental sciencesbiologyQAtmospheric correctionSpectral bandsTemperaturabiology.organism_classificationANEMSea surface temperatureemissivityRadianceGeneral Earth and Planetary SciencesEnvironmental sciencethermal infraredEmpirical relationshipAlgorithmTESRemote Sensing
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Toward a Comprehensive Dam Monitoring: On-Site and Remote-Retrieved Forcing Factors and Resulting Displacements (GNSS and PS–InSAR)

2021

Many factors can influence the displacements of a dam, including water level variability and environmental temperatures, in addition to the dam composition. In this work, optical-based classification, thermal diachronic analysis, and a quasi-PS (Persistent Scatter) Interferometric SAR technique have been applied to determine both forcing factors and resulting displacements of the crest of the Castello dam (South Italy) over a one-year time period. The dataset includes Sentinel-1A images acquired in Interferometric Wide swath mode using the Terrain Observation with Progressive Scans SAR (TOPSAR); Landsat 8 Thermal Infrared Sensor (TIRS) thermal images, and Global Navigation Satellite System …

010504 meteorology & atmospheric sciencesLandsat TIRSScience0211 other engineering and technologiesTerrainSatellite system02 engineering and technologyForcing (mathematics)01 natural sciencesPS–InSARInterferometric synthetic aperture radarDam displacements Full graph GNSS Landsat TIRS PS–InSAR Sentinel-1A TOPSARSentinel-1A TOPSAR021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdam displacementsGNSSQfull graphdam displacements; GNSS; Sentinel-1A TOPSAR; Landsat TIRS; PS–InSAR; full graphWater levelInterferometryGNSS applicationsGeneral Earth and Planetary SciencesSatelliteGeologySettore ICAR/06 - Topografia E CartografiaRemote Sensing
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Pre- and syn-eruptive geochemistry of volcanic gases from Soufriere Hills of Montserrat, West Indies

1998

International audience; Soufriere Hills fumaroles contained magmaderived volatiles before and during the eruption initiated in 1995 but also preserved a typical and quite steady hydrothermal coinposition. Chemical changes due to increased boiling and a greater input of oxidizing magmatic gas occurred only at Galway's Soufriere, the most active fumarolic field. Hydrothermal buffering of the fumaroles has been favoured by their remote location (!-2 km) froin the eruptive vents and by a preferential degassing of the uprising magma through intrusive conduits under the crater. High temperature (720øC) gas collected froin the extruding lava dome in Feb. 1996 was chemically and isotopically repres…

010504 meteorology & atmospheric sciencesLava75252 Paris cedex 05GeochemistryLSCEitaly (e-mail: pare!io010502 geochemistry & geophysics01 natural sciencesHydrothermal circulationBritish Geological SurveyVolcanic Gaseslsce.saclay.cea.ff) PalermoCEA-CNRSImpact craterevent[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment0105 earth and related environmental sciencesevent.disaster_type[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereLGSCFrance (semetg?)ipgp.j ussieu.t¾). -SS.R. YoungLava domeIPGPFumaroleGeophysics4 place JussieuDomoMagmambox.unipa.it). 4M.p. SemetGeneral Earth and Planetary Sciences91190 GiftYvette2p. Ailard and P. Jean-BaptisteFrance (e-mail: ailardGeology
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Humusica 2, article 19: Techno humus systems and global change - Conservation agriculture and 4/1000 proposal

2018

International audience; Philosophy can overlap pedology. It is not casual that life begins and finishes in the soil. We separated the concepts of Humipedon, Copedon and Lithopedon. Some sections were dedicated to the founders of the movement for a new type of agriculture (agroecology). They simply proclaim to accompany the process of natural evolution instead of spending a lot of energy in hunting competitor organisms with pesticides or boosting the soil with mineral fertilisation and tillage. The core of the article is built on a biological concept of the soil and shows researches supporting this view. After pointing to the soil structure and illustrating its natural genesis, explaining wh…

010504 meteorology & atmospheric sciencesMarcel Bouché01 natural sciencesAgricultural economicsMatt DamonSoilEnvironmental protectionGreenhouse effect2. Zero hungerOrganic AgricultureAllan SavoryEcologyAgriculture04 agricultural and veterinary sciencesAgricultural and Biological Sciences (miscellaneous)HumusAgriculture; Allan Savory; Andy Weir; Charles Darwin; Conservation agriculture; Earthworms; Homo sapiens; Humus; Humusica; Jeff Lowenfels; Marcel Bouché; Masanobu Fukuoka; Matt Damon; Natural farming; Organic Agriculture; Peat; Soil; Soil aggregates; Soil C sequestration; Soil Organic Carbon; Ecology; Agricultural and Biological Sciences (miscellaneous); Soil ScienceTillageHumusicaSoil aggregatesConservation agricultureAndy Weir[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studySoil Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studyHumus[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsMarcel BouchéMasanobu FukuokaEarthwormsAgroecology0105 earth and related environmental sciences[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyHomo sapiensJeff LowenfelsNatural farmingSoil organic matterSoil C sequestrationGlobal warmingPeatSoil carbon15. Life on land[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsSoil structureCharles DarwinSoil Organic Carbon13. Climate action040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental science[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Mapping land surface emissivity from NDVI: Application to European, African, and South American areas

1996

Thermal infrared emissivity is an important parameter both for surface characterization and for atmospheric correction methods. Mapping the emissivity from satellite data is therefore a very important question to solve. The main problem is the coupling of the temperature and emissivity effects in the thermal radiances. Several methods have been developed to obtain surface emissivity from satellite data. In this way we propose a theoretical model that relates the emissivity to the NDVI (normalized difference vegetation index) of a given surface and explains the experimental behavior observed by van de Griend and Owe. We can use it to obtain the emissivity in any thermal channel, but in this …

010504 meteorology & atmospheric sciencesMathematical model0211 other engineering and technologiesAtmospheric correctionSoil ScienceGeology02 engineering and technologySurface finish01 natural sciencesNormalized Difference Vegetation Index13. Climate actionMiddle latitudesThermalEmissivityEnvironmental scienceSatelliteComputers in Earth SciencesAstrophysics::Galaxy Astrophysics021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)

2019

The spatial quantification of green leaf area index (LAIgreen), the total green photosynthetically active leaf area per ground area, is a crucial biophysical variable for agroecosystem monitoring. The Sentinel-2 mission is with (1) a temporal resolution lower than a week, (2) a spatial resolution of up to 10 m, and (3) narrow bands in the red and red-edge region, a highly promising mission for agricultural monitoring. The aim of this work is to define an easy implementable LAIgreen index for the Sentinel-2 mission. Two large and independent multi-crop datasets of in situ collected LAIgreen measurements were used. Commonly used LAIgreen indices applied on the Sentinel-2 10 m &times

010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologiesRed edge02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistryremote sensingred-edgelcsh:TP1-1185Sensitivity (control systems)Electrical and Electronic EngineeringLeaf area indexInstrumentationImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPixelleaf area indexVegetation15. Life on landcropsAtomic and Molecular Physics and OpticsTemporal resolutionvegetation indicesSentinel-2Sensors
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Validation of SMAP surface soil moisture products with core validation sites

2017

Abstract The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance. Those sites provide well-calibrated in situ soil moisture measurements within SMAP product grid pixels for diverse conditions and locations. The estimation of the average soil moisture within the SMAP product grid pixels based on in situ measurements is more reliable when location specific calibration of the sensors has been performed and there is adequate replication over the spatial domain, with an up-scaling function based on analysis using independent estimates of the soil moisture distributio…

010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologiesSoil Science02 engineering and technology01 natural scienceslaw.inventionlawValidationCalibrationComputers in Earth SciencesRadarSpatial domainWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerPixelGeologySMAP22/4 OA procedureITC-ISI-JOURNAL-ARTICLEEnvironmental scienceSatelliteSoil moisture
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Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

2017

Abstract Current and upcoming airborne and spaceborne imaging spectrometers lead to vast hyperspectral data streams. This scenario calls for automated and optimized spectral dimensionality reduction techniques to enable fast and efficient hyperspectral data processing, such as inferring vegetation properties. In preparation of next generation biophysical variable retrieval methods applicable to hyperspectral data, we present the evaluation of 11 dimensionality reduction (DR) methods in combination with advanced machine learning regression algorithms (MLRAs) for statistical variable retrieval. Two unique hyperspectral datasets were analyzed on the predictive power of DR + MLRA methods to ret…

010504 meteorology & atmospheric sciencesMean squared errorComputer science0211 other engineering and technologies02 engineering and technologycomputer.software_genre01 natural sciencessymbols.namesakeLinear regressionComputers in Earth SciencesEngineering (miscellaneous)Gaussian processHyMap021101 geological & geomatics engineering0105 earth and related environmental sciencesData stream miningbusiness.industryDimensionality reductionHyperspectral imagingPattern recognitionAtomic and Molecular Physics and OpticsComputer Science ApplicationsKernel (statistics)symbolsData miningArtificial intelligencebusinesscomputerISPRS Journal of Photogrammetry and Remote Sensing
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