Search results for "Soil Moisture"

showing 10 items of 74 documents

Effects of partial rootzone drying and rootstock vigour on growth and fruit quality of 'Pink Lady' apple trees in Mediterranean environments

2008

We investigated the effects of partial rootzone drying (PRD) and rootstock vigour on water relations, and vegetative and productive performance of ‘Pink Lady’ apple (Malus domestica Borkh.) trees in central Sicily. In a first field trial, trees on MM.106 rootstock were subjected to: Conventional irrigation (CI), maintaining soil moisture above 80% of field capacity; PRD irrigation, where only one alternated side of the rootzone received 50% of the CI irrigation water; and continuous deficit irrigation (DI), where 50% of the CI water was equally applied to both sides of the rootzone. In a second trial, trees on M.9 or MM.106 were subjected to CI and PRD irrigation. PRD reduced stomatal condu…

Stomatal conductanceMalusIrrigationbiologyDeficit irrigationbiology.organism_classificationField capacityHorticultureAgronomyGeneral Agricultural and Biological SciencesRootstockleaf area peel color relative water content shoot length soil moisture stomatal conductanceWater contentFruit tree
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Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements

2019

Soil moisture (SM) is a key state variable in understanding the climate system through its control on the land surface energy, water budget partitioning, and the carbon cycle. Monitoring SM at regional scale has become possible thanks to microwave remote sensing. In the past two decades, several satellites were launched carrying on board either radiometer (passive) or radar (active) or both sensors in different frequency bands with various spatial and temporal resolutions. Soil moisture algorithms are in rapid development and their improvements/revisions are ongoing. The latest SM retrieval products and versions of products that have been recently released are not yet, to our knowledge, com…

TechnologyPassive microwave remote sensing010504 meteorology & atmospheric sciences0208 environmental biotechnologyActive microwave remote sensingReview02 engineering and technology01 natural sciences7. Clean energylaw.inventionRemote SensinglawRadarEvaluationComputingMilieux_MISCELLANEOUSevaluationGeologypassive microwave remote sensingDATA SETSLife Sciences & Biomedicineactive microwave remote sensingSMOSLAND SURFACESreviewSoil ScienceClimate changeEnvironmental Sciences & EcologyLand coverVALIDATIONRETRIEVALSInternational soil moisture networkComputers in Earth SciencesImaging Science & Photographic Technology[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment0105 earth and related environmental sciencesRemote sensingScience & TechnologyRadiometerAMSR-ESMAPScatterometerinternational soil moisture network020801 environmental engineeringCLIMATEASCAT13. Climate actionSoil waterEnvironmental scienceSpatial variabilitySatelliteSoil moisturesoil moistureEnvironmental SciencesL-BANDRemote Sensing of Environment
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Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products

2019

2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 28 July - 2 August 2019, Yokohama, Japan

TeledeteccióDQXRoot mean square differenceRemote sensingQuality (physics):Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Benchmark (surveying)Data qualityRange (statistics)ChisquaredEnvironmental scienceSoil moistureSòls -- HumitatWater contentRemote sensingAlternative strategySMOS
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Nitrous oxide fluxes from permafrost regions

2020

This dataset is a synthesis of published nitrous oxide (N2O) fluxes from permafrost-affected soils in Arctic, Antarctic, and Alpine permafrost regions. The data includes mean N2O flux rates measured under field (in situ) conditions and in intact plant-soil systems (mesocosms) under near-field conditions. The dataset further includes explanatory environmental parameters such as meteorological data, soil physical-chemical properties, as well as site and experimental information. Data has been synthesized from published studies (see 'Further details'), and in some cases the authors of published studies have been contacted for additional site-level information. The dataset includes studies publ…

Temperature airNumber of pointsHemeroby/disturbanceannual meanNumber of measurement seasonsTemperature soilDensityArea localityPrecipitationgravimetricmeanNitrateTime in minutesAnalytical methodType of studyReference of dataTemperature air annual meanArea/localitypH soilCarbon Nitrogen ratioYear of observationWater holding capacityOriginal unitSample code/labelReplicatesNitrous oxidepHPermafrost extentThaw depth of active layer meanTemperatureMonthSample code labelZoneWater filled pore space calculatedExperimental treatmentCountryPrecipitation annual meanOrganic carbon soilEarth System ResearchSoil water content gravimetricType of chamberAmmoniumPresence/absenceNitrogenairvolumetricLocationactive layerType of disturbanceSiteVegetation typeWater filled pore spaceSoil water content volumetricSoil water contentin mass nitrous oxidesoilThaw depth of active layercalculatedbulkmaximumLONGITUDEOrganic carbonEcosystemPublication of dataPresence absenceSoil organic matterEvent labelThaw depth of active layer maximumNumber of measurementsHemeroby disturbanceNitrous oxide flux in mass nitrous oxideCarbon/Nitrogen ratiofluxOriginal valueLATITUDEDayNitrogen soilSoil moistureDensity active layer bulk
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Evaluating the impact of roughness in soil moisture and optical thickness retrievals over the VAS area

2014

International audience

Valencia Anchor Station[SDE.MCG]Environmental Sciences/Global ChangesL - MEB modelSoil scienceSurface finishELBARA - IIsoil roughnessEnvironmental sciencesoil moistureWater content[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUSRemote sensingSMOS
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A combined optical-microwave method to retrieve soil moisture over vegetated areas

2011

A simple approach for correcting for the effect of vegetation in the estimation of the surface soil moisture (wS) from L-band passive microwave observations is presented in this study. The approach is based on semi-empirical relationships between soil moisture and the polarized reflectivity including the effect of the vegetation optical depth which is parameterized as a function of the normalized vegetation difference index (NDVI). The method was tested against in situ measurements collected over a grass site from 2004 to 2007 (SMOSREX experiment). Two polarizations (horizontal/vertical) and five incidence angles (20◦, 30◦, 40◦, 50◦, and 60◦) were considered in the analysis. The best wS est…

Vegetation optical depthL band010504 meteorology & atmospheric sciencesNDVItélédétection0211 other engineering and technologiesSoil science02 engineering and technologyMicrowave methodsurface temperature01 natural sciencesNormalized Difference Vegetation Index[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsNDVI;LAI;LEAF AREA INDEX;SURFACE TEMPERATURE;SOIL MOISTURE;L-BAND medicineTraitement du signal et de l'imagenormalized vegetation difference index (NDVI)Electrical and Electronic EngineeringWater contentComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSignal and Image processingsurface temperature.soil moisture (SM)Enhanced vegetation index15. Life on landLAIL-bandSOIL MOISTUREGeneral Earth and Planetary SciencesEnvironmental sciencemicrowave radiometrymedicine.symptomLEAF AREA INDEXVegetation (pathology)[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingMicrowave
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CAROLS: A New Airborne L-Band Radiometer for Ocean Surface and Land Observations

2011

The "Cooperative Airborne Radiometer for Ocean and Land Studies" (CAROLS) L-Band radiometer was designed and built as a copy of the EMIRAD II radiometer constructed by the Technical University of Denmark team. It is a fully polarimetric and direct sampling correlation radiometer. It is installed on board a dedicated French ATR42 research aircraft, in conjunction with other airborne instruments (C-Band scatterometer--STORM, the GOLD-RTR GPS system, the infrared CIMEL radiometer and a visible wavelength camera). Following initial laboratory qualifications, three airborne campaigns involving 21 flights were carried out over South West France, the Valencia site and the Bay of Biscay (Atlantic O…

analyse de donnéesL band010504 meteorology & atmospheric sciencesMeteorologytélédétection0211 other engineering and technologiesPolarimetry02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistry RADIOMETER;CAROLS;L-BAND;MISSION SMOS;OCEAN SALINITY;SOIL MOISTURE; MESURE AEROPORTEECAROLSArticleAnalytical Chemistry[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystemslcsh:TP1-1185ocean salinityElectrical and Electronic EngineeringInstrumentation021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerbusiness.industryConjunction (astronomy)Ocean salinityL bandradiometerL band radiometerAtomic and Molecular Physics and OpticsOn boardL-bandAutre (Sciences de l'ingénieur)Global Positioning SystemEnvironmental scienceSatelliteRadiometerSoil moisturesoil moisturebusinessSMOS
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A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm

2017

Abstract This study focuses on the calibration of the effective vegetation scattering albedo (ω) and surface soil roughness parameters (H R , and N Rp , p = H,V) in the Soil Moisture (SM) retrieval from L-band passive microwave observations using the L-band Microwave Emission of the Biosphere (L-MEB) model. In the current Soil Moisture and Ocean Salinity (SMOS) Level 2 (L2), v620, and Level 3 (L3), v300, SM retrieval algorithms, low vegetated areas are parameterized by ω = 0 and H R  = 0.1, whereas values of ω = 0.06 − 0.08 and H R  = 0.3 are used for forests. Several parameterizations of the vegetation and soil roughness parameters (ω, H R and N Rp , p = H,V) were tested in this study, tre…

biosphèreL band010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologieseffective scattering albedo02 engineering and technologyLand coverManagement Monitoring Policy and Law01 natural sciencestélédétection microondesCalibrationhumidité du sol14. Life underwaterComputers in Earth SciencesWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingrugosité de surfaceGlobal and Planetary Changesalinité des océansScatteringVegetation15. Life on landAlbedoL-bandGeographysoil roughnessalbédosoil moistureSoil roughnessSMOSrugosité du sol
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Monitoring Water and Energy Cycles at Climate Scale in the Third Pole Environment (CLIMATE-TPE)

2021

A better understanding of the water and energy cycles at climate scale in the Third Pole Environment is essential for assessing and understanding the causes of changes in the cryosphere and hydrosphere in relation to changes of plateau atmosphere in the Asian monsoon system and for predicting the possible changes in water resources in South and East Asia. This paper reports the following results: (1) A platform of in situ observation stations is briefly described for quantifying the interactions in hydrosphere-pedosphere-atmosphere-cryosphere-biosphere over the Tibetan Plateau. (2) A multiyear in situ L-Band microwave radiometry of land surface processes is used to develop a new microwave r…

ddc:621.3Scienceearth observationAtmospheric sciencesevaporationTroposphereEvapotranspirationTibetan PlateauCryosphereEast Asian MonsoonmonsoonStratosphereThird Pole EnvironmentgeographyPlateaugeography.geographical_feature_categoryQITC-ISI-JOURNAL-ARTICLEGeneral Earth and Planetary SciencesEnvironmental scienceddc:620soil moistureITC-GOLDWater vaporThird Pole Environment; Tibetan Plateau; monsoon; earth observation; evaporation; soil moisture; microwave remote sensingHydrosphereRemote Sensing
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On the use of unmanned aerial systems for environmental monitoring

2018

[EN] Environmental monitoring plays a central role in diagnosing climate and management impacts on natural and agricultural systems; enhancing the understanding of hydrological processes; optimizing the allocation and distribution of water resources; and assessing, forecasting, and even preventing natural disasters. Nowadays, most monitoring and data collection systems are based upon a combination of ground-based measurements, manned airborne sensors, and satellite observations. These data are utilized in describing both small-and large-scale processes, but have spatiotemporal constraints inherent to each respective collection system. Bridging the unique spatial and temporal divides that li…

environmental_sciencesINGENIERIA HIDRAULICA010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologies02 engineering and technology01 natural sciencesRiver monitoringBridge (nautical)Field (computer science)Vegetation indicesRiver monitoringEnvironmental monitoringEnvironmental impact assessmentSatellite imageryNatural disasterWater content2. Zero hungerMoistureAgricultural ecosystemsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnvironmental monitoring04 agricultural and veterinary sciencesVegetationRemote sensingRemote sensing (archaeology)Vegetation indiceSystems engineeringUASEarth and Planetary Sciences (all)Context (language use)Leverage (statistics)EcosystemRemote sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesData collectionPrecision agriculturebusiness.industryWater resources13. Climate actionAgricultureITC-ISI-JOURNAL-ARTICLESoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceGeneral Earth and Planetary SciencesPrecision agricultureSoil moisturebusinessITC-GOLDSettore ICAR/06 - Topografia E Cartografia
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