Search results for "emot"

showing 10 items of 5695 documents

A Comparison between Drifter and X-Band Wave Radar for Sea Surface Current Estimation

2016

This paper deals with exploitation of the wave radar system for sea surface current estimation in a coastal zone. In particular, we present the results of the processing of the radar data collected by an X-band marine radar installed in Capo Granitola site, which is located in the south-west part of Sicily, on 15 May 2015. The effectiveness of the data processing is analyzed by comparing the wave radar estimated sea surface current with that provided by the Lagrangian drifters along its movement trajectory. During the measurement campaign, three drifter releases are carried out and for each one the comparison is provided in terms of the mean error and standard deviation. In addition, we rep…

010504 meteorology & atmospheric sciencesmarine X-band radar0211 other engineering and technologiesX bandsea state monitoring02 engineering and technologySea state01 natural sciencesStandard deviationlaw.inventionlawLagrangian driftersRadarsea surface current estimationlcsh:SciencePhysics::Atmospheric and Oceanic Physics021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGeodesyDrifterWavelengthWave radarGeneral Earth and Planetary Scienceslcsh:QSignificant wave heightGeologyRemote Sensing
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Evaluation of different methods to retrieve the hemispherical downwelling irradiance in the thermal infrared region for field measurements

2013

International audience; The thermal infrared hemispherical downwelling irradiance (HDI) emitted by the atmosphere and surrounding elements contributes through reflection to the signal measured over an observed surface by remote sensing. This irradiance must be estimated in order to obtain accurate values of land-surface temperature (LST). There are some fast methods to measure the HDI with a single measurement pointing to the sky at a specified viewing direction, but these methods require completely cloud-free or cloudy skies, and they do not account for the radiative contribution of surrounding elements. Another method is the use of a diffuse reflectance panel (usually, a rough gold-coated…

010504 meteorology & atmospheric sciencesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]0211 other engineering and technologiesIrradiance02 engineering and technologyAtmospheric sciences01 natural sciencesBANDAtmosphereRadiative transferEmissivityElectrical and Electronic EngineeringTEMPERATURE021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingmedia_commonRadiometerMODTRANdiffuse reflectance panelAngular measurementsthermal infrared (TIR)EMISSIVITYSOILShemispherical downwelling radiance13. Climate actionSkyfield measurements[SDE]Environmental SciencesReflection (physics)General Earth and Planetary SciencesEnvironmental science
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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Modelling soil moisture at SMOS scale by use of a SVAT model over the Valencia Anchor Station

2010

16 páginas, 9 figuras, 5 tablas.

010504 meteorology & atmospheric sciencestélédétectionMISSION SMOS0211 other engineering and technologiesSpaceespagne02 engineering and technologylcsh:Technology01 natural sciencesValidationTraitement du signal et de l'imagelcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentlcsh:Environmental sciencesComputingMilieux_MISCELLANEOUSlcsh:GE1-350InclusionRetrievalMoistureModelling soil moistureSignal and Image processinglcsh:Geography. Anthropology. RecreationRemote sensingDISPOSITIF EXPERIMENTAL; MISSION SMOSProductseurope[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSMOS[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringGrowing seasonParameterizationSpatial distributionlcsh:TD1-1066SchemeHapexspectroradiomètre14. Life underwater[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerlcsh:TAMSR-Epays méditerranéenSalinityERS scatterometerlcsh:G13. Climate actionDISPOSITIF EXPERIMENTALSoil waterEnvironmental scienceRadiometry
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Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations

2015

Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects (parameterized here by the parameter) on a global scale from AMSR-E (Advanced Microwave Scanning Radiometer for EOS) observations. AMSR-E brightness temperatures at 6.9 GHz obtained from January 2009 to September 2011, together with estimations of soil moisture from the SMOS (Soil Moisture and Ocean Salinity) L3 products and of soil temperature from ECMWF’s (European Centre for Medium-range Weather Forecasting) were used as inputs in a retrieval…

010504 meteorology & atmospheric sciencestélédétectionScience0211 other engineering and technologiesWeather forecasting[SDU.STU]Sciences of the Universe [physics]/Earth SciencesElectromagnétismesoil surface roughness02 engineering and technologySurface finishcomputer.software_genredonnée satellite01 natural sciencesSciences de la TerreNormalized Difference Vegetation Indexsoil moisture;soil surface roughness;AMSR-EElectromagnetismEmissivitySurface roughnessTraitement du signal et de l'image14. Life underwaterWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometercapteur smosQSignal and Image processingradiométrie microondesVegetationAMSR-E15. Life on land[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismEarth SciencesGeneral Earth and Planetary SciencesEnvironmental sciencesoil moisturecomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingRemote Sensing
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The sedimentary and remote-sensing reflection of biomass burning in Europe

2018

Aim: We provide the first European-scale geospatial training set relating the charcoal signal in surface lake sediments to fire parameters (number, intensity and area) recorded by satellite moderate resolution imaging spectroradiometer (MODIS) sensors. Our calibration is intended for quantitative reconstructions of key fire-regime parameters by using sediment sequences of microscopic (MIC from pollen slides, particles 10-500 µm) and macroscopic charcoal (MAC from sieves, particles > 100 µm). Location: North-south and east-west transects across Europe, covering the mediterranean, temperate, alpine, boreal and steppe biomes. Time period: Lake sediments and MODIS active fire and burned area…

010506 paleontology010504 meteorology & atmospheric sciencesSettore AGR/05 - Assestamento Forestale E Selvicoltura01 natural scienceslake-sediment charcoal[SHS.ENVIR] Humanities and Social Sciences/Environmental studiesFire ecologyCharcoalEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesRemote sensingBiomass (ecology)Global and Planetary ChangeFire regimeEcologySedimentpalaeoecologyEcology Evolution Behavior and Systematicfire ecologyMODIS13. Climate actionRemote sensing (archaeology)visual_art[SHS.ENVIR]Humanities and Social Sciences/Environmental studiescalibration in spacevisual_art.visual_art_mediumEnvironmental scienceSatelliteSedimentary rockfire regime
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Social Lives of Monumental Walls: Hunting along the Upper Tigris

2021

On the left bank of the Tigris in northern Iraq, in an area today partially flooded by the Mosul Dam reservoir, lies an enigmatic monumental enclosure known in the literature as the “Tigris Wall.” Before its partial submersion under the waters of the modern lake, the large L-shaped embankment, about 4 × 4 km long, enclosed an area of ca. 1600 ha, overlooking the Tigris and its alluvial plain. By means of a holistic strategy that includes different levels of analysis (remote sensing, pedestrian and UAV photogrammetric surveys, excavation, and settlement pattern analysis), this paper addresses the structure, its context, and its environment. Relying on the results of this multi-disciplinary a…

010506 paleontologyArcheology060102 archaeologyEnclosure06 humanities and the artshistorical aerial photography01 natural sciencesArchaeologyUAV photogrammetrylandscape archaeologyremote sensingGeographyhunting parkKurdistan region of IraqRemote sensing (archaeology)archaeological survey; historical aerial photography; hunting park; Kurdistan region of Iraq; landscape archaeology; remote sensing; Sasanian; UAV photogrammetry0601 history and archaeologyarchaeological surveySasanianLandscape archaeology0105 earth and related environmental sciences
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The mapping of the Posidonia oceanica (L.) Delile barrier reef meadow in the southeastern Gulf of Tunis (Tunisia)

2016

Abstract Barrier reefs are among the most important ecomorphosis for Posidonia oceanica meadows and have long been subjected to anthropic pressures. The authors mapped the entire Sidi Rais (northeastern Tunisia) Posidonia oceanica barrier reef by means of remote sensing based on processing a satellite image acquired via Google Earth © software, coupled with field observations obtained by snorkeling. The map thus produced represents the P. oceanica barrier reef in its current state, covering a total area of 156.77 ha, the reef being divided into three distinct sections separated by reverse flows with each section subject to varied anthropic factors and disturbances.

0106 biological sciences010504 meteorology & atmospheric sciencesCymodocea nodosaBarrier reefSnorkeling01 natural sciences[ SDE ] Environmental SciencesSatellite image14. Life underwaterBarrier reef mappingReef0105 earth and related environmental sciencesEarth-Surface ProcessesgeographyCymodocea nodosageography.geographical_feature_categorybiologybusiness.industry010604 marine biology & hydrobiologyPosidonia oceanicaGeologybiology.organism_classificationCurrent (stream)OceanographyRemote sensing (archaeology)Anthropic impactPosidonia oceanica[SDE]Environmental SciencesbusinessGeologyJournal of African Earth Sciences
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Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiati…

2019

[Purpose of Review] We provide a comprehensive review of the empirical and modelling approaches used to quantify the radiation–vegetation interactions related to vegetation temperature, leaf optical properties linked to pigment absorption and chlorophyll fluorescence emission, and of their capability to monitor vegetation health. Part 1 provides an overview of the main physiological indicators (PIs) applied in remote sensing to detect alterations in plant functioning linked to vegetation diseases and decline processes. Part 2 reviews the recent advances in the development of quantitative methods to assess PI through hyperspectral and thermal images.

0106 biological sciences010504 meteorology & atmospheric sciencesHigh resolutionVegetation healthPhotochemical Reflectance Index01 natural sciencesVegetation indicesPhysiological indicatorsRadiative transfermedicineEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesNature and Landscape ConservationRemote sensingRadiative transfer modelsEcologyWarning systemHyperspectral and thermal dataHyperspectral imagingForestry15. Life on land13. Climate actionRemote sensing (archaeology)Temporal resolutionEnvironmental sciencemedicine.symptomVegetation (pathology)010606 plant biology & botany
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Mapping a ‘cryptic kingdom’: Performance of lidar derived environmental variables in modelling the occurrence of forest fungi

2016

Abstract Fungi are crucial to forest ecosystem function and provide important provisioning, regulating, supporting, and cultural ecosystem services. As major contributors to biomass decomposition, fungi are important to forest biogeochemical cycling and maintenance of vertebrate animal diversity. Many forest plant species live in a symbiotic relationship with a fungal partner that helps a host plant to acquire nutrients and water. In addition, edible fungi are recreationally as well as economically valuable. However, most fungi live in very cryptic locations (e.g. in soils and interior plant tissues) and are only visible when their ephemeral fruiting bodies are produced, making fungal occur…

0106 biological sciences010504 meteorology & atmospheric sciencesRange (biology)Soil ScienceBiology010603 evolutionary biology01 natural sciencesEcosystem servicesremote sensingAbundance (ecology)Forest ecologymushroomComputers in Earth Sciences0105 earth and related environmental sciencesNon-timber forest productBiomass (ecology)EcologySpecies diversityGeologydistribution modellingecosystem serviceHabitatta1181fruiting bodynon-timber forest productALSRemote Sensing of Environment
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