Search results for "XE"

showing 10 items of 9661 documents

Changes in SO2 Flux Regime at Mt. Etna Captured by Automatically Processed Ultraviolet Camera Data

2019

We used a one-year long SO2 flux record, which was obtained using a novel algorithm for real-time automatic processing of ultraviolet (UV) camera data, to characterize changes in degassing dynamics at the Mt. Etna volcano in 2016. These SO2 flux records, when combined with independent thermal and seismic evidence, allowed for capturing switches in activity from paroxysmal explosive eruptions to quiescent degassing. We found SO2 fluxes 1.5−2 times higher than the 2016 average (1588 tons/day) during the Etna’s May 16−25 eruptive paroxysmal activity, and mild but detectable SO2 flux increases more than one month before its onset. The SO2 flux typically peaked during a lava fo…

010504 meteorology & atmospheric sciencesLava2SO<sub>2</sub> fluxesAutomatic processing010502 geochemistry & geophysicsAtmospheric sciencesmedicine.disease_causeUV Camerafluxe01 natural sciencesFlux (metallurgy)Thermalmedicinelcsh:Scienceexplosive basaltic volcanism0105 earth and related environmental sciencesSOExplosive eruptionEtna VolcanofluxesEtna volcanoGeneral Earth and Planetary Scienceslcsh:QEtna volcano; Explosive basaltic volcanism; SO; 2; fluxes; UV cameraGeologyUltravioletRemote Sensing
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Prodigious emission rates and magma degassing budget of major, trace and radioactive volatile species from Ambrym basaltic volcano, Vanuatu island Arc

2016

Abstract Ambrym volcano, in the Vanuatu arc, is one of the most active volcanoes of the Southwest Pacific region, where persistent lava lake and/or Strombolian activity sustains voluminous gas plume emissions. Here we report on the first comprehensive budget for the discharge of major, minor, trace and radioactive volatile species from Ambrym volcano, as well as the first data for volatiles dissolved in its basaltic magma (olivine-hosted melt inclusions). In situ MultiGAS analysis of H 2 O, CO 2 , SO 2 and H 2 S in crater rim emissions, coupled with filter-pack determination of SO 2 , halogens, stable and radioactive metals demonstrates a common magmatic source for volcanic gases emitted by…

010504 meteorology & atmospheric sciencesLavaGeochemistryMineralogy[SDU.STU]Sciences of the Universe [physics]/Earth SciencesAmbrymVolatile fluxes010502 geochemistry & geophysics01 natural sciencesVolcanic GasesMagma reservoirVanuatuVolatile fluxeGeochemistry and PetrologyCalderaeventGeophysicComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesMelt inclusionsBasaltevent.disaster_typegeographygeography.geographical_feature_categoryMagma degassing budgetStrombolian eruptionGeophysicsVolcano13. Climate actionIsland arcRadioactive disequilibriaGeology
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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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Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring

2020

Image processing entered the era of artificial intelligence, and machine learning algorithms emerged as attractive alternatives for time series data processing. Satellite image time series processing enables crop phenology monitoring, such as the calculation of start and end of season. Among the promising algorithms, Gaussian process regression (GPR) proved to be a competitive time series gap-filling algorithm with the advantage of, as developed within a Bayesian framework, providing associated uncertainty estimates. Nevertheless, the processing of time series images becomes computationally inefficient in its standard per-pixel usage, mainly for GPR training rather than the fitting step. To…

010504 meteorology & atmospheric sciencesMean squared errorComputer science0211 other engineering and technologiesImage processing02 engineering and technologycomputer.software_genre01 natural scienceslcsh:AgricultureKrigingTime series021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerHyperparameterPixelSeries (mathematics)lcsh:SGaussian processes regressionSatellite Image Time SeriesData miningtime seriesSentinel-2optimizationAgronomy and Crop Sciencecomputercrop monitoringphenology indicatorsAgronomy
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2016

Gianluca Tramontana was supported by the GEOCARBON EU FP7 project (GA 283080). Dario Papale, Martin Jung and Markus Reichstein acknowledge funding from the EU FP7 project GEOCARBON (grant agreement no. 283080) and the EU H2020 BACI project (grant agreement no. 640176). Gustau Camps-Valls wants to acknowledge the support by an ERC Consolidator Grant with grant agreement 647423 (SEDAL). Kazuhito Ichii was supported by Environment Research and Technology Development Funds (2-1401) from the Ministry of the Environment of Japan and the JAXA Global Change Observation Mission (GCOM) project (no. 115). Christopher R. Schwalm was supported by National Aeronautics and Space Administration (NASA) gran…

010504 meteorology & atmospheric sciencesMeteorologyFLUXNET0208 environmental biotechnology0207 environmental engineeringlcsh:Life02 engineering and technologySensible heatAtmospheric sciences7. Clean energy01 natural sciencesFlux (metallurgy)FluxNetMachine learning; Carbon fluxes; Energy fluxes; FLUXNET; Remote sensing; FLUXCOMlcsh:QH540-549.5Latent heatMachine learningCarbon fluxes020701 environmental engineeringEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface ProcessesFLUXCOMMultivariate adaptive regression splineslcsh:QE1-996.5Empirical modellingPrimary production15. Life on landRemote sensingEnergy fluxes020801 environmental engineeringlcsh:Geologylcsh:QH501-531Kernel method13. Climate actionEnvironmental sciencelcsh:EcologyBiogeosciences
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Landsat and Local Land Surface Temperatures in a Heterogeneous Terrain Compared to MODIS Values

2016

Land Surface Temperature (LST) as provided by remote sensing onboard satellites is a key parameter for a number of applications in Earth System studies, such as numerical modelling or regional estimation of surface energy and water fluxes. In the case of Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra or Aqua, pixels have resolutions near 1 km 2 , LST values being an average of the real subpixel variability of LST, which can be significant for heterogeneous terrain. Here, we use Landsat 7 LST decametre-scale fields to evaluate the temporal and spatial variability at the kilometre scale and compare the resulting average values to those provided by MODIS for the same obser…

010504 meteorology & atmospheric sciencesMeteorologyLandsat 7Science0211 other engineering and technologiesland surface temperatureTerrain02 engineering and technology01 natural sciencesNet radiometertime-space variabilityTermodinàmicaSuperfícies (Fisica)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingGround truthRadiometerQSubpixel renderingsurface heterogeneitysurface heterogeneity; land surface temperature; MODIS; Landsat 7; time-space variability; ground truthMODISGeneral Earth and Planetary SciencesEnvironmental scienceSpatial variabilityModerate-resolution imaging spectroradiometerScale (map)ground truthRemote Sensing
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Evaluation of the MODIS Albedo product over a heterogeneous agricultural area

2013

In this article, the Moderate Resolution Imaging Spectroradiometer MODIS Bidirectional Reflectance Distribution Function BRDF/Albedo product MCD43 is evaluated over a heterogeneous agricultural area in the framework of the Earth Observation: Optical Data Calibration and Information Extraction EODIX project campaign, which was developed in Barrax Spain in June 2011. In this method, two models, the RossThick-LiSparse-Reciprocal RTLSR which corresponds to the MODIS BRDF algorithm and the RossThick-Maignan-LiSparse-Reciprocal RTLSR-HS, were tested over airborne data by processing high-resolution images acquired with the Airborne Hyperspectral Scanner AHS sensor. During the campaign, airborne im…

010504 meteorology & atmospheric sciencesMeteorologyPixel0211 other engineering and technologiesHyperspectral imaging02 engineering and technologyAlbedo01 natural sciencesGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteSatellite imageryModerate-resolution imaging spectroradiometerBidirectional reflectance distribution functionZenith021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingInternational Journal of Remote Sensing
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Inflight Radiometric Calibration of New Horizons' Multispectral Visible Imaging Camera (MVIC)

2017

© 2016 Elsevier Inc. We discuss two semi-independent calibration techniques used to determine the inflight radiometric calibration for the New Horizons’ Multi-spectral Visible Imaging Camera (MVIC). The first calibration technique compares the measured number of counts (DN) observed from a number of well calibrated stars to those predicted using the component-level calibration. The ratio of these values provides a multiplicative factor that allows a conversation between the preflight calibration to the more accurate inflight one, for each detector. The second calibration technique is a channel-wise relative radiometric calibration for MVIC's blue, near-infrared and methane color channels us…

010504 meteorology & atmospheric sciencesMultispectral imageFOS: Physical sciencesField of view01 natural sciencesOptics0103 physical sciencesCalibration010303 astronomy & astrophysicsRadiometric calibrationInstrumentation and Methods for Astrophysics (astro-ph.IM)0105 earth and related environmental sciencesRemote sensingEarth and Planetary Astrophysics (astro-ph.EP)Pixelbusiness.industryDetectorAstrophysics::Instrumentation and Methods for AstrophysicsAstronomy and AstrophysicsPlanetary Data SystemPanchromatic filmSpace and Planetary ScienceEnvironmental scienceAstrophysics::Earth and Planetary AstrophysicsAstrophysics - Instrumentation and Methods for AstrophysicsbusinessAstrophysics - Earth and Planetary Astrophysics
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Modelling nitrous oxide emissions from cropland at the regional scale

2006

Arable soils are a large source of nitrous oxide (N2O) emissions, making up half of the biogenic emissions worldwide. Estimating their source strength requires methods capable of capturing the spatial and temporal variability of N2O emissions, along with the effects of crop management. Here, we applied a process-based model, CERES, with geo-referenced input data on soils, weather, and land use to map N2O emissions from wheat-cropped soils in three agriculturally intensive regions in France. Emissions were mostly controlled by soil type and local climate conditions, and only to a minor extent by the doses of fertilizer nitrogen applied. As a result, the direct emission factors calculated at …

010504 meteorology & atmospheric sciencesNITROUS OXIDElcsh:TP670-699Atmospheric sciences01 natural sciencesBiochemistryREGIONAL SCALE[SDV.IDA]Life Sciences [q-bio]/Food engineeringAGRONOMIENitrogen cycleComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hungerLand useIntensive farmingARABLE CROPSMODELLING04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering15. Life on landSoil type13. Climate actionGreenhouse gasSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variabilitylcsh:Oils fats and waxesArable landFood Science
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