Search results for "real-time"

showing 10 items of 881 documents

Cloud detection on the Google Earth engine platform

2017

The vast amount of data acquired by current high resolution Earth observation satellites implies some technical challenges to be faced. Google Earth Engine (GEE) platform provides a framework for the development of algorithms and products built over this data in an easy and scalable manner. In this paper, we take advantage of the GEE platform capabilities to exploit the wealth of information in the temporal dimension by processing a long time series of satellite images. A cloud detection algorithm for Landsat-8, which uses previous images of the same location to detect clouds, is implemented and tested on the GEE platform.

010504 meteorology & atmospheric sciencesComputer scienceReal-time computingScalability0211 other engineering and technologiesCloud detectionSatellite02 engineering and technologyDimension (data warehouse)Earth observation satellite01 natural sciences021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses

2020

The use of unmanned aerial vehicles (UAVs) in earth science research has drastically increased during the last decade. The reason being innumerable advantages to detecting and monitoring various environmental processes before and after certain events such as rain, wind, flood, etc. or to assess the current status of specific landforms such as gullies, rills, or ravines. The UAV equipped sensors are a key part to success. Besides commonly used sensors such as cameras, radar sensors are another possibility. They are less known for this application, but already well established in research. A vast number of research projects use professional radars, but they are expensive and difficult to hand…

010504 meteorology & atmospheric sciencesComputer scienceUAVReal-time computingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0211 other engineering and technologiesComputerApplications_COMPUTERSINOTHERSYSTEMS77 GHz02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistrylaw.inventionARS-408lawlcsh:TP1-1185ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic EngineeringRadarInstrumentationARS-404021101 geological & geomatics engineering0105 earth and related environmental sciencesRadarAtomic and Molecular Physics and OpticsEarth surfaceAutomotive radarKey (cryptography)Sensors
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First Results of Hyperspectral Scene Generation in Preparation of the Chime Imaging Spectrometer Mission

2021

End-To-End mission performance simulators (E2Es) are software tools developed to support satellite mission preparatory activities. For passive remote sensing missions, E2Es generate synthetic scenes simulating the interaction of the solar radiation between the atmosphere and the surface; therefore allowing the estimation of the mission performance before its launch. In this paper, we present the CHIME Scene Generator Module (SGM) as part of CHIME E2Es, with state-of-the-art parallelization and optimization that give a performance allowing to obtain a whole year of daily worldwide Top-Of-Atmosphere radiance images in a matter of hours. The CHIME SGM generates 100x200km hyperspectral scenes w…

010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryReal-time computing0211 other engineering and technologiesImaging spectrometerHyperspectral imaging02 engineering and technology01 natural sciencesConvolutionInstruction setSoftwareShadowRadianceSatellitebusiness021101 geological & geomatics engineering0105 earth and related environmental sciences2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Estimating Missing Information by Cluster Analysis and Normalized Convolution

2018

International audience; Smart city deals with the improvement of their citizens' quality of life. Numerous ad-hoc sensors need to be deployed to know humans' activities as well as the conditions in which these actions take place. Even if these sensors are cheaper and cheaper, their installation and maintenance cost increases rapidly with their number. We propose a methodology to limit the number of sensors to deploy by using a standard clustering technique and the normalized convolution to estimate environmental information whereas sensors are actually missing. In spite of its simplicity, our methodology lets us provide accurate assesses.

010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subjectReal-time computingEnergy Engineering and Power Technology02 engineering and technologyIterative reconstructionsmart city dealsCluster (spacecraft)01 natural sciencesIndustrial and Manufacturing Engineeringnormalized convolutionstandard clustering technique[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ConvolutionArtificial IntelligenceSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringLimit (mathematics)SimplicityCluster analysisInstrumentationad-hoc sensors0105 earth and related environmental sciencesmedia_commonSettore INF/01 - InformaticaRenewable Energy Sustainability and the EnvironmentComputer Science Applications1707 Computer Vision and Pattern Recognitionenvironmental informationmissing informationComputer Networks and CommunicationKernel (image processing)020201 artificial intelligence & image processingcluster analysis2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Using MSG-Seviri Data to Monitor the Planet in Near Real Time

2018

The SEVIRI (Spinning Enhanced Visible and Infra Red Imager) instrument onboard MSG (Meteosat Second Generation) satellite series provides valuable data for the observation of our planet. We describe here the processing chain implemented at the Global Change Unit of the University of Valencia to provide information such as vegetation index, temperatures of both land and sea, synthetic quicklooks for an easy interpretation of the data as well as fire hotspots. Vegetation index and temperature data are available for download from a dedicated portal updated every 3 hours with the most recent processed data. Additionally, a web page displays this information for a non scientific public in near r…

010504 meteorology & atmospheric sciencesLand surface temperatureReal-time computing0211 other engineering and technologiesGlobal change02 engineering and technologyVegetation01 natural sciencesSea surface temperaturePlanetWeb pageEnvironmental scienceSatelliteVegetation Index021101 geological & geomatics engineering0105 earth and related environmental sciencesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Loop Mediated Isothermal Amplification: Principles and Applications in Plant Virology

2020

In the last decades, the evolution of molecular diagnosis methods has generated different advanced tools, like loop-mediated isothermal amplification (LAMP). Currently, it is a well-established technique, applied in different fields, such as the medicine, agriculture, and food industries, owing to its simplicity, specificity, rapidity, and low-cost efforts. LAMP is a nucleic acid amplification under isothermal conditions, which is highly compatible with point-of-care (POC) analysis and has the potential to improve the diagnosis in plant protection. The great advantages of LAMP have led to several upgrades in order to implement the technique. In this review, the authors provide an overview r…

0106 biological sciences0301 basic medicineBst DNA polymeraseComputer scienceLoop-mediated isothermal amplificationSettore BIO/05 - ZoologiaviroidsPlant VirologyPlant ScienceReviewvirus01 natural sciences03 medical and health sciencesLAMPplant virologyprimersEcology Evolution Behavior and SystematicsEcologyviroid<i>Bst</i> DNA polymeraseBotanySettore AGR/12 - Patologia Vegetalereal-time monitoringeye diseasesDiagnosis methodsVisualizationprimer030104 developmental biologyQK1-989viruBiochemical engineeringloop-mediated isothermal amplification010606 plant biology & botanyPlants
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Identification of Stress Associated microRNAs in Solanum lycopersicum by High-Throughput Sequencing

2019

Tomato (Solanum lycopersicum) is one of the most important crops around the world and also a model plant to study response to stress. High-throughput sequencing was used to analyse the microRNA (miRNA) profile of tomato plants undergoing five biotic and abiotic stress conditions (drought, heat, P. syringae infection, B. cinerea infection, and herbivore insect attack with Leptinotarsa decemlineata larvae) and one chemical treatment with a plant defence inducer, hexanoic acid. We identified 104 conserved miRNAs belonging to 37 families and we predicted 61 novel tomato miRNAs. Among those 165 miRNAs, 41 were stress-responsive. Reverse transcription quantitative PCR (RT-qPCR) was used to valida…

0106 biological sciences0301 basic medicineEstrèslcsh:QH426-470ATP-binding cassette transporter01 natural sciencesbehavioral disciplines and activitiesDNA sequencingdifferential expression03 medical and health sciencesDifferential expressionSolanum lycopersicummicroRNAGeneticsTomàquetsGeneGenetics (clinical)Abiotic componentGeneticsbiotic and abiotic stress responseHigh-throughput sequencingbiologyAbiotic stressfungi<i>Solanum lycopersicum</i>food and beverageshigh-throughput sequencingbiology.organism_classificationlcsh:Genetics030104 developmental biologyReal-time polymerase chain reactionmiRNAsBiotic and abiotic stress responseSolanumHexanoic acidhexanoic acidmiRNA targets010606 plant biology & botanyGenes
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Isolation of acetic, propionic and butyric acid-forming bacteria from biogas plants.

2015

In this study, acetic, propionic and butyric acid-forming bacteria were isolated from thermophilic and mesophilic biogas plants (BGP) located in Germany. The fermenters were fed with maize silage and cattle or swine manure. Furthermore, pressurized laboratory fermenters digesting maize silage were sampled. Enrichment cultures for the isolation of acid-forming bacteria were grown in minimal medium supplemented with one of the following carbon sources: Na(+)-dl-lactate, succinate, ethanol, glycerol, glucose or a mixture of amino acids. These substrates could be converted by the isolates to acetic, propionic or butyric acid. In total, 49 isolates were obtained, which belonged to the phyla Firm…

0106 biological sciences0301 basic medicineFirmicutesSilageSwineClostridium cochleariumMolecular Sequence DataBioengineeringBacillusReal-Time Polymerase Chain Reaction01 natural sciencesApplied Microbiology and BiotechnologyDNA RibosomalZea maysMicrobiologyButyric acid03 medical and health sciencesAcetic acidchemistry.chemical_compoundBioreactors010608 biotechnologyRNA Ribosomal 16SAnimalsThermoanaerobacterium thermosaccharolyticumPhylogenyAcetic AcidDNA PrimersClostridiumSilagebiologyBacteriaBase SequenceGeneral Medicinebiology.organism_classificationLactic acidManure030104 developmental biologychemistryBiofuelsFermentationButyric AcidCattlePropionatesBacteriaGenome BacterialBiotechnologyJournal of biotechnology
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Biological control of potato soft rot caused by Dickeya solani and the survival of bacterial antagonists under cold storage conditions

2018

Dickeya and Pectobacterium are responsible for causing blackleg of plants and soft rot of tubers in storage and in the field, giving rise to losses in seed potato production. In an attempt to improve potato health, biocontrol activity of known and putative antagonists was screened using in vitro and in planta assays, followed by analysis of their persistence at various storage temperatures. Most antagonists had low survival on potato tuber surfaces at 4 °C. The population dynamics of the best low‐temperature tolerant strain and also the most efficient antagonist, Serratia plymuthica A30, along with Dickeya solani as target pathogen, was studied with TaqMan real‐time PCR throughout the stora…

0106 biological sciences0301 basic medicinePectobacteriumPopulationBlacklegCold storageblacklegDickeyaPlant ScienceHorticultureSerratia plymuthica A3001 natural sciencesEndophytebakteeritBiointeractions and Plant Health03 medical and health sciencespopulation dynamicsGeneticsserratia plymuthica A30kasvitauditCultivarta414education2. Zero hungereducation.field_of_studybiologyta1183fungifood and beveragesta4111biology.organism_classificationTaqMan real-time PCRpopulaatiodynamiikkabiocontrol agentHorticulture030104 developmental biologymärkämätäDickeya solaniAgronomy and Crop Science010606 plant biology & botanybiologinen torjunta
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Citrus rootstock breeding: response of four allotetraploid somatic hybrids to Citrus tristeza virus induced infections

2018

Four allotetraploid somatic hybrids of citrus, with potential for rootstock improvement, have been evaluated for their response to Citrus tristeza virus (CTV) infection. CTV is the most important viral pathogen affecting citrus production worldwide. Somatic combinations of ‘Milam’ lemon (Citrus jambhiri Lush.) + Sour orange (C. aurantium L Osb.), Calamondin (C. madurensis Lour.) + ‘Keen’ sour orange (C. aurantium L.), Calamondin + ‘Femminello‘ lemon (C. limon L. Burm. F.) and Cleopatra mandarin (C. reshni Hort. ex Tan.) + ‘Femminello’ lemon, were studied. Plants were grafted with CTV-infected “Valencia” sweet orange budwood. Two different CTV strains collected in Sicily, considered as “mild…

0106 biological sciences0301 basic medicineReal-time qRT-PCRRT-PCRProtoplast fusionPlant ScienceOrange (colour)Horticulture01 natural sciencesMediterranean Basin03 medical and health sciencesstomatognathic systemGenotypeCitrus rootstockHybridRootstocksbiologyRough lemonSettore AGR/12 - Patologia VegetaleCitrus tristeza virusfood and beveragesbiology.organism_classificationCTV. Protoplast fusion . Rootstocks . DASELISA. RT-PCR . Real-time qRT-PCRHorticulture030104 developmental biologyCTVRootstockDAS-ELISAAgronomy and Crop Science010606 plant biology & botany
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