Search results for "Sensing"

showing 10 items of 1698 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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Global trends in NDVI-derived parameters obtained from GIMMS data

2011

The Normalized Difference Vegetation Index (NDVI) has been proven to be useful to assess vegetation changes around the world, in spite of limitations such as sensitivity to cloud or snow contamination. In order to map vegetation changes at global scale, this study uses NDVI time series provided by the GIMMS (Global Inventory Modeling and Mapping Studies) group, which were fitted annually to a double logistic function. This fitting procedure allowed for retrieval of NDVI-derived parameters which were tested for trends using Mann-Kendall statistics. These trends were validated by comparison at 73 ground control points documented as change hotspots. The obtained trends for NDVI-derived paramet…

010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyVegetation15. Life on landSnow01 natural sciencesField (geography)Normalized Difference Vegetation Index13. Climate actionGeneral Earth and Planetary SciencesEnvironmental scienceSensitivity (control systems)Logistic functionScale (map)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingInternational Journal of Remote Sensing
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Analysis of directional effects on atmospheric correction

2013

Abstract Atmospheric correction in the Visible and Near Infrared (VNIR) spectral range of remotely sensed data is significantly simplified if we assume a Lambertian target. However, natural surfaces are anisotropic. Therefore, this assumption will introduce an error in surface directional reflectance estimates and consequently in the estimation of vegetation indexes such as the Normalized Difference Vegetation Index (NDVI) and the surface albedo retrieval. In this paper we evaluate the influence of directional effects on the atmospheric correction and its impact in the NDVI and albedo estimation. First, we derived the NDVI and surface albedo from data corrected assuming a Lambertian surface…

010504 meteorology & atmospheric sciences0211 other engineering and technologiesAtmospheric correctionSoil ScienceGeology02 engineering and technologyVegetation15. Life on landAlbedo01 natural sciencesNormalized Difference Vegetation IndexVNIRAERONET13. Climate actionEnvironmental scienceClimate modelBidirectional reflectance distribution functionComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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2019

Urban Heat Islands (UHIs) at the surface and canopy levels are major issues in urban planification and development. For this reason, the comprehension and quantification of the influence that the different land-uses/land-covers have on UHIs is of particular importance. In order to perform a detailed thermal characterisation of the city, measures covering the whole scenario (city and surroundings) and with a recurrent revisit are needed. In addition, a resolution of tens of meters is needed to characterise the urban heterogeneities. Spaceborne remote sensing meets the first and the second requirements but the Land Surface Temperature (LST) resolutions remain too rough compared to the urban o…

010504 meteorology & atmospheric sciences0211 other engineering and technologiesHyperspectral imaging02 engineering and technologyAlbedo01 natural sciences13. Climate actionKriging11. SustainabilityGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteSatellite imageryUrban heat islandScale (map)Image resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing
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A Global Sensitivity Analysis Toolbox to Quantify Drivers of Vegetation Radiative Transfer Models

2017

Abstract Global sensitivity analysis (GSA) enables to gain insight into the functioning of radiative transfer models (RTMs) by identifying the driving input variables of RTM spectral outputs such as reflectance, fluorescence, or radiance. This contribution introduces automated radiative transfer models operator's (ARTMO’s) new GSA toolbox. With the GSA toolbox the majority of ARTMO’s available RTMs can be decomposed into its driving variables. For a selected RTM output, a GSA identifies the most influential and noninfluential input variables according to Sobol' first-order and total-order indices. The toolbox can process RTM spectral outputs for any kind of optical sensor setting within the…

010504 meteorology & atmospheric sciences0211 other engineering and technologiesProcess (computing)Sobol sequence02 engineering and technology01 natural sciencesToolboxOperator (computer programming)GeographyRadiative transferRadianceRange (statistics)Sensitivity (control systems)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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The WISE 2000 and 2001 Field Experiments in Support of the SMOS Mission:Sea Surface L-Band Brightness Temperature Observations and Their Application …

2004

Camps, Adriano ... et al.-- 20 pages, 16 figures, 3 tables

010504 meteorology & atmospheric sciences0211 other engineering and technologiesWind02 engineering and technologySea stateAtmospheric sciences01 natural sciencesOceanographic techniquesWind waveSurface roughnessEmissivitySeawater14. Life underwaterElectrical and Electronic EngineeringRadiometry[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingPhysics[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereRadiometerFoamsOcean wavesRemote sensingSea surface temperature13. Climate actionBrightness temperatureGeneral Earth and Planetary SciencesSMOS MissionSignificant wave height
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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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New advances in dial-lidar-based remote sensing of the volcanic CO2 flux

2017

We report here on the results of a proof-of-concept study aimed at remotely sensing the volcanic CO2 flux using a Differential Adsorption lidar (DIAL-lidar). The observations we report on were conducted on June 2014 on Stromboli volcano, where our lidar (LIght Detection And Ranging) was used to scan the volcanic plume from ~ 3 km distance from the summit vents. The obtained results prove that a remotely operating lidar can resolve a volcanic CO2 signal of a few tens of ppm (in excess to background air) over km-long optical paths. We combine these results with independent estimates of plume transport speed (from processing of UV Camera images) to derive volcanic CO2 flux time-series of ≈16-3…

010504 meteorology & atmospheric sciences2010502 geochemistry & geophysics01 natural sciencesDIAL-lidarVolcanic COEarth Sciencevolcanic CO2Stromboli0105 earth and related environmental sciencesRemote sensinggeographygeography.geographical_feature_categoryCo2 fluxRangingRemote sensingPlumeDialCOfluxLidarVolcano13. Climate actionRemote sensing (archaeology)Temporal resolutionGeneral Earth and Planetary SciencesEnvironmental scienceCO2 flux
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Understanding the SO 2 degassing budget of Mt Etna’s paroxysms: First clues from the december 2015 sequence

2019

The persistent open-vent activity of basaltic volcanoes is periodically interrupted by spectacular but hazardous paroxysmal explosions. The rapid transition from quiescence to explosive eruption poses a significant challenge for volcanic hazard assessment and mitigation, and improving our understanding of the processes that trigger these paroxysmal events is critical. Although magmatic gas is unquestionably the driver, direct measurements of a paroxysm’s gas flux budget have remained challenging, to date. A particularly violent paroxysmal sequence took place on Etna on December 2015, intermittently involving all summit craters, especially the Voragine (VOR) that had previously displayed no…

010504 meteorology & atmospheric sciences2Earth and Planetary Sciences(all)UV camera010502 geochemistry & geophysics01 natural sciencesSequence (geology)Basaltic paroxysmsImpact craterBasaltic paroxysms; Etna; OMI; Thermal remote sensing; UV camera; Volcanic SO ; 2High spatial resolutionlcsh:ScienceThermal remote sensing0105 earth and related environmental sciences/dk/atira/pure/subjectarea/asjc/1900BasaltVolcanic SOgeographygeography.geographical_feature_categoryOMIGas fluxBasaltic paroxysmEtna volcanoVolcanoMagmavolcanic SO2General Earth and Planetary SciencesEtnalcsh:QSeismologyGeology
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The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

2021

Funding Information: We are thankful to the GlobBiomass project team and Frank Martin Seifert (ESA) for valuable suggestions and stimulating scientific discussions. We are thankful to Takeo Tadono (JAXA EORC), Masato Hayashi, (JAXA EORC), Kazufumi Kobayashi (RESTEC), Åke Rosenqvist (soloEO), and Josef Kellndorfer (EBD) for support with the use and interpretation of the ALOS PALSAR mosaics. Support by the CCI Land Cover project team, in particular Sophie Bontemps (UCL), is greatly acknowledged. The help from Martin Jung (MPI-BGC) in feature selection and Ulrich Weber (MPI-BGC) for data processing for the GSV-to-AGB conversions is greatly acknowledged. Forest inventory data for the validation…

010504 meteorology & atmospheric sciencesALOS PALSAR0211 other engineering and technologies02 engineering and technology01 natural sciencesLaboratory of Geo-information Science and Remote SensingSDG 13 - Climate ActionGE1-350BiomassEMISSIONSSDG 15 - Life on LandQE1-996.5GROWING STOCK VOLUMETaigaGeologyPE&RCPlant Production SystemsMAPbiomaCARBON-CYCLECrop and Weed EcologySynthetic aperture radarPhysical geographyRETRIEVALUNITED-STATESEarth and Planetary Sciences(all)Synthetic aperture radarSubtropicsSpatial distributionEnvironmental scienceCarbon cycletropicsTemperate climateBOREAL FORESTSMANAGEMENTLife ScienceSpatial ecologySpatial distributionLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesForest inventoryRadarTemperate climateEnvironmental sciencesSatelliteEarth and Environmental SciencesDENSITYPlantaardige ProductiesystemenSpatial ecologyEnvironmental scienceGeneral Earth and Planetary SciencescavelabPhysical geographyForest inventory
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