Search results for "INDEX"

showing 10 items of 5395 documents

Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

2019

The availability of satellite optical information is often hampered by the natural presence of clouds, which can be problematic for many applications. Persistent clouds over agricultural fields can mask key stages of crop growth, leading to unreliable yield predictions. Synthetic Aperture Radar (SAR) provides all-weather imagery which can potentially overcome this limitation, but given its high and distinct sensitivity to different surface properties, the fusion of SAR and optical data still remains an open challenge. In this work, we propose the use of Multi-Output Gaussian Process (MOGP) regression, a machine learning technique that learns automatically the statistical relationships among…

Synthetic aperture radarFOS: Computer and information sciencesComputer Science - Machine LearningTeledetecció010504 meteorology & atmospheric sciencesMean squared error0208 environmental biotechnologySoil ScienceFOS: Physical sciencesMachine Learning (stat.ML)02 engineering and technology01 natural sciencesArticlelaw.inventionMachine Learning (cs.LG)symbols.namesakelawStatistics - Machine LearningFOS: Electrical engineering electronic engineering information engineeringComputers in Earth SciencesRadarLeaf area indexCluster analysisGaussian process0105 earth and related environmental sciencesRemote sensingMathematicsImage and Video Processing (eess.IV)Processos estocàsticsGeologyElectrical Engineering and Systems Science - Image and Video ProcessingSensor fusionRegression020801 environmental engineeringPhysics - Data Analysis Statistics and ProbabilitysymbolsData Analysis Statistics and Probability (physics.data-an)Imatges Processament
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Coupling SAR X-band and optical data for NDVI retrieval: model calibration and validation on two test areas

2013

Sustainability of modern agro-hydrology requires the knowledge of spatial and temporal variability of vegetation biomass to optimize management of land and water resources. Diversely from optical imaging, temporal resolution of active sensors, such as SAR, is not limited by sky cloudiness; thus, they may be combined with optical imageries to provide a more continuous monitoring of land surfaces. Several new SAR missions (e.g., ALOS-PALSAR, COSMO-SkyMed 1 and 2, TerraSAR-X, TerraSAR-X2, Sentinel 1) acquiring at X-, C- and L-bands and dual polarization capability, are characterized by a short revisit time (from 12 h to ~10 days) and high spatial resolution (<20 m). These satellites could prov…

Synthetic aperture radarL bandMeteorologyBackscatterCloud covermedia_common.quotation_subjectSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaContinuous monitoringRadar backscatteringNormalized Difference Vegetation IndexNDVI cross-polarized backscattering DEIMOS-1 COSMO-SkyMed Landsat 7 SCL-offGeographySkyTemporal resolutionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSettore ICAR/06 - Topografia E Cartografiamedia_commonRemote sensingvegetation index
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Vegetation index retrieval by coupling optical and SAR images

2012

Monitoring spatial and temporal variability of Vegetation Indices (VIs) is important to manage land and water resources, with significant impact on the sustainability of modern agriculture Although algorithms based on optical data give accurate products, cloud cover dramatically reduces the temporal resolution of these outputs. The launch of new Synthetic Aperture Radar (SAR) constellations such as COSMO-Skymed opened new opportunities to develop agro-hydrological applications. Indeed, these satellites may represent a suitable source of data for operational applications due to their high spatial and temporal resolutions (10 m in StripMap PingPong acquisition mode, best revisit time with 4 s…

Synthetic aperture radarMeteorologyBackscatterCloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandLand coverNormalized Difference Vegetation IndexGeographyTemporal resolutionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensingNDVI crossed-polarized backscattering DEIMOS COSMO-Skymed
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Investigating the Relationship between X-Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI Detection

2013

Monitoring spatial and temporal variability of vegetation is important to manage land and water resources, with significant impact on the sustainability of modern agriculture. Cloud cover noticeably reduces the temporal resolution of retrievals based on optical data. COSMO-SkyMed (the new Italian Synthetic Aperture RADAR-SAR) opened new opportunities to develop agro-hydrological applications. Indeed, it represents a valuable source of data for operational use, due to the high spatial and temporal resolutions. Although X-band is not the most suitable to model agricultural and hydrological processes, an assessment of vegetation development can be achieved combing optical vegetation indices (V…

Synthetic aperture radarMeteorologyCOSMO-SkyMedCloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandLand coverRadar backscatteringNormalized Difference Vegetation IndexLAIcross-polarized backscatteringTemporal resolutionDEIMOS-1General Earth and Planetary SciencesEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliNormalized Difference Vegetation Index (NDVI)lcsh:QNormalized Difference Vegetation Index (NDVI); LAI; cross-polarized backscattering; DEIMOS-1; COSMO-SkyMedLeaf area indexlcsh:ScienceImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensingRemote Sensing
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A RADARSAT-2 Quad-Polarized Time Series for Monitoring Crop and Soil Conditions in Barrax, Spain

2012

An analysis of the sensitivity of synthetic aperture radar (SAR) backscatter (σo) to crop and soil conditions was conducted using 57 RADARSAT-2 C-band quad-polarized SAR images acquired from April to September 2009 for large fields of wheat, barley, oat, corn, onion, and alfalfa in Barrax, Spain. Preliminary results showed that the cross-polarized σHVo was particularly useful for monitoring both crop and soil conditions and was the least sensitive to differences in beam incidence angle. The greatest separability of barley, corn, and onion occurred in spring after the barley had been harvested or in the narrow time window associated with grain crop heading when corn and onion were still imma…

Synthetic aperture radarPhenologybusiness.industryfungifood and beveragesBiomassNormalized Difference Vegetation IndexCropAgronomyAgricultureGeneral Earth and Planetary SciencesImage acquisitionEnvironmental scienceElectrical and Electronic EngineeringbusinessWater contentRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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Time series of Cosmo-SkyMed data for landcover classification and surface parameter retrieval over agricultural sites

2012

This paper reports on the results of an Italian project aimed at investigating the use of X-band COSMO-SkyMed (CSK) SAR data for applications in agriculture and hydrology. Existing classification and retrieval algorithms have been tailored to CSK data and time series of crop, leaf area index and soil moisture maps have been retrieved and assessed through the comparison with in situ data collected over three agricultural sites. In addition, the CSK-derived surface parameters have been integrated into crop growth and hydrologic models and the resulting improvements have been assessed. Results indicate that multi-temporal dual-polarized CSK data are very well-suited for agricultural crop class…

Synthetic aperture radarSeries (mathematics)Contextual image classificationbusiness.industryCOSMO-SkyMedHydrological modellingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVegetationCOSMO-SkyMed; SAR; X-bandHydrology (agriculture)AgricultureEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSAR COSMO-SkyMed X-bandX-bandLeaf area indexbusinessSettore ICAR/06 - Topografia E CartografiaRemote sensingSAR
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Power sensitivity analysis of multi-frequency, multi-polarized, multi-temporal SAR data for soil-vegetation system variables characterization

2017

Abstract: The knowledge of spatial and temporal variability of soil water content and others soil-vegetation variables (leaf area index, fractional cover) assumes high importance in crop management. Where and when the cloudiness limits the use of optical and thermal remote sensing techniques, synthetic aperture radar (SAR) imagery has proven to have several advantages (cloud penetration, day/night acquisitions and high spatial resolution). However, measured backscattering is controlled by several factors including SAR configuration (acquisition geometry, frequency and polarization), and target dielectric and geometric properties. Thus, uncertainties arise about the more suitable configurati…

Synthetic aperture radarSpatial correlation010504 meteorology & atmospheric sciencesCloud coverScience0211 other engineering and technologies02 engineering and technologyBackscatteringSoil water content01 natural scienceslaw.inventionsensitivity analysislawSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalibackscattering; soil water content; surface roughness; leaf area index; sensitivity analysisRadarLeaf area indexWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSurface roughneQSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSoil watersurface roughnessLeaf area indexSensitivity analysiBackscattering; Leaf area index; Sensitivity analysis; Soil water content; Surface roughness; Earth and Planetary Sciences (all)General Earth and Planetary SciencesEnvironmental scienceSpatial variabilityEarth and Planetary Sciences (all)Settore ICAR/06 - Topografia E Cartografia
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Evaluation of the MOD16A2 evapotranspiration product in an agricultural area of Argentina, the Pampas region

2021

The Pampas Region is a big plain of approximately 520,000 km2 in Argentina. It is essential to estimate evapotranspiration (ET) in this region since the primary productivity is directly linked to water availability. Information provided by satellite missions allows monitoring the spatial and temporal variability of ET. In the current study, we evaluated the version 006 of MOD16A2 product (MOD16A2.006) of Potential Evapotranspiration (ETp) and Actual Evapotranspiration (ETa) in Argentinian Pampas Region (APR). MOD16A2.006 product was compared with Crop Evapotranspiration (ETc), calculated with local measurements from the Oficina de Riesgo Agropecuario (ORA), and Crop Coefficient (Kc) data (f…

Systematic errorTeledeteccióHidrologia0211 other engineering and technologiesMOD16A2 VERSION 602 engineering and technology010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesNormalized Difference Vegetation IndexREMOTE SENSING//purl.org/becyt/ford/1 [https]//purl.org/becyt/ford/1.5 [https]Crop evapotranspirationEvapotranspirationSoybean cropPrimary productivity021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryGROUND MEASUREMENTSPOTENTIAL EVAPOTRANSPIRATIONCrop coefficientAiguaACTUAL EVAPOTRANSPIRATIONAgricultureGeneral Earth and Planetary SciencesEnvironmental sciencebusiness
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Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome.

2019

The authors especially thank the PREDIMED-Plus participants for their enthusiastic collaboration, the PREDIMED-Plus personnel for their outstanding support, and the personnel of all associated primary care centers for their exceptional effort. Centros de Investigación Biomédica en Red: Obesidad y Nutrición (CIBEROBN), Centros de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP) and Centros de Investigación Biomédica en Red: Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM) are initiatives of Instituto de Salud Carlos III (ISCIII), Madrid, Spain. We thank the PREDIMED-Plus Biobank Network, part of the National Biobank Platform of ISCIII for storing and managing …

Síndrome metabòlicaWaistlcsh:MedicineDietética y nutrición030209 endocrinology & metabolismbody mass indexType 2 diabetesOverweightArticleDiabetis no-insulinodependent03 medical and health sciencesnap0302 clinical medicinemental disordersEndocrinologíaMedicineNon-insulin-dependent diabetes2. Zero hungerbusiness.industrylcsh:Rfunginutritional and metabolic diseasesActigraphyPREDIMED-Plus studyPREDIMED-PlusGeneral Medicinemedicine.diseasewaist circumferenceObesityMetabolic syndrome3. Good healthNapPREDIMED-Plus actigraphy body mass index nap type 2 diabetes waist circumferencetype 2 diabetesmedicine.symptomMetabolic syndromebusinessBody mass indexhuman activities030217 neurology & neurosurgerypsychological phenomena and processesDemographyactigraphy
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Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elde…

2021

The PREDIMED-Plus trial was supported by the European Research Council (Advanced Research grant 2014–2019; agreement #340918; granted to M.Á.M.-G.); the official Spanish institutions for funding scientific biomedical research, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and Instituto de Salud Carlos III (ISCIII) through the Fondo de Investigación para la Salud (FIS) which is co-funded by the European Regional Development Fund (coordinated FIS projects led by J.S-S. and J.V., including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI…

Síndrome metabólicoMaleFood processingMediterranean dietNOVAObesidadÍndice de masa corporal:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]0302 clinical medicineultra-processed foodMedicineTX341-641:Diseases::Pathological Conditions Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight [Medical Subject Headings]Body mass indexclassification systemsIncidenceIARC:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Questionnaires [Medical Subject Headings]Metabolic syndrome3. Good healthNutriciónCohortManipulación de alimentosDietaFactores de riesgo cardiometabólicoConcordanceUNC:Check Tags::Male [Medical Subject Headings]ClasificaciónClassification systemsDiet SurveysArticle03 medical and health sciencesfood processingHumans:Diseases::Cardiovascular Diseases [Medical Subject Headings]Aged030109 nutrition & dietetics:Health Care::Health Care Economics and Organizations::Organizations::International Agencies [Medical Subject Headings]:Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings]PREDIMED-Plusmedicine.diseaseObesity:Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity [Medical Subject Headings]Blood pressure:Check Tags::Female [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings]Linear ModelsFast FoodsMetabolic syndromeOlder people0301 basic medicineSíndrome metabòlicaFood HandlingOverweightDiet MediterraneanPersones gransCohort Studiescardiometabolic riskEndocrinología030212 general & internal medicine:Persons::Persons::Age Groups::Adult::Aged [Medical Subject Headings]2. Zero hungerMetabolic SyndromeNutrition and Dietetics:Technology and Food and Beverages::Technology Industry and Agriculture::Industry::Food Industry::Food Handling [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Therapeutics::Nutrition Therapy::Diet Therapy::Diet Mediterranean [Medical Subject Headings]Middle Aged:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Health Surveys::Nutrition Surveys::Diet Surveys [Medical Subject Headings]Female:Technology and Food and Beverages::Food and Beverages::Food::Fast Foods [Medical Subject Headings]medicine.symptom:Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Glucose Metabolism Disorders::Hyperinsulinism::Insulin Resistance::Metabolic Syndrome X [Medical Subject Headings]Dietética y nutrición:Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Mass Index [Medical Subject Headings]:Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Morbidity::Incidence [Medical Subject Headings]Environmental healthMediterranean dietObesityAlimentos ultraprocesados:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Models Statistical::Linear Models [Medical Subject Headings]NutricióNutrition:Geographical Locations::Geographic Locations::Europe::Spain [Medical Subject Headings]business.industryNutrition. Foods and food supplyCardiometabolic Risk FactorsOverweightDieta mediterráneaCardiometabolic riskUltra-processed foodDietSpainIFICSobrepesoFood processingbusinessdietFood ScienceNutrients
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