Search results for "Temporal resolution"

showing 10 items of 110 documents

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
researchProduct

Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

2012

Abstract ESA's upcoming satellites Sentinel-2 (S2) and Sentinel-3 (S3) aim to ensure continuity for Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing superspectral images of high spatial and temporal resolution. S2 and S3 will deliver near real-time operational products with a high accuracy for land monitoring. This unprecedented data availability leads to an urgent need for developing robust and accurate retrieval methods. Machine learning regression algorithms may be powerful candidates for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive, nonlinear data fitting. By using data from …

010504 meteorology & atmospheric sciencesArtificial neural networkMean squared errorbusiness.industryComputer science0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesRegressionSupport vector machineTemporal resolutionGround-penetrating radarCurve fittingArtificial intelligenceComputers in Earth SciencesbusinessImage resolutioncomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
researchProduct

First light observations of the solar wind in the outer corona with the Metis coronagraph

2021

In this work, we present an investigation of the wind in the solar corona that has been initiated by observations of the resonantly scattered ultraviolet emission of the coronal plasma obtained with UVCS-SOHO, designed to measure the wind outflow speed by applying Doppler dimming diagnostics. Metis on Solar Orbiter complements the UVCS spectroscopic observations that were performed during solar activity cycle 23 by simultaneously imaging the polarized visible light and the H I Lyman-α corona in order to obtain high spatial and temporal resolution maps of the outward velocity of the continuously expanding solar atmosphere. The Metis observations, taken on May 15, 2020, provide the first H I …

010504 meteorology & atmospheric sciencesAstrophysics::High Energy Astrophysical PhenomenaSolar windFOS: Physical sciencesAstrophysics01 natural sciencesWind speedlaw.inventionsymbols.namesakeSun: corona – solar wind – Sun: UV radiationlaw0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsCoronagraphSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesPhysics[SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]Sun: coronaAstronomy and AstrophysicsPlasmaSolar wind Sun: corona Sun: UV radiationSun: UV radiationCoronaSolar windAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceTemporal resolutionPhysics::Space PhysicssymbolsOutflowDoppler effect
researchProduct

On numerical broadening of particle size spectra: a condensational growth study using PyMPDATA 1.0

2021

Abstract. The work discusses the diffusional growth in particulate systems such as atmospheric clouds. It focuses on the Eulerian modeling approach in which the evolution of the probability density function describing the particle size spectrum is carried out using a fixed-bin discretization. The numerical diffusion problem inherent to the employment of the fixed-bin discretization is scrutinized. The work focuses on the applications of MPDATA family of numerical schemes. Several MPDATA variants are explored including: infinite-gauge, non-oscillatory, third-order-terms and recursive antidiffusive correction (double pass donor cell, DPDC) options. Methodology for handling coordinate transfor…

010504 meteorology & atmospheric sciencesDiscretizationComputer scienceEulerian pathProbability density functionNumerical diffusion01 natural sciences010305 fluids & plasmassymbols.namesakeTemporal resolution0103 physical sciencesConvergence (routing)symbolsApplied mathematicsSpurious relationship0105 earth and related environmental sciencesDoppler broadening
researchProduct

Comparison of IAGOS in-situ water vapour measurements and ECMWF ERA-Interim Reanalysis data

2019

Abstract. Cirrus clouds and their potential formation regions, so-called ice-supersaturated regions (ISSRs) occur frequently in the tropopause region. It is assumed that ISSRs and cirrus clouds can change the tropopause structure by diabatic processes, driven by latent heating due to phase transition and interaction with radiation. For many research questions a three-dimensional picture including a sufficient temporal resolution of the water vapour fields in the tropopause region is required. This requirement is fulfilled nowadays by reanalysis products such as the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis. However, for a meaningful investigation of w…

010504 meteorology & atmospheric sciencesEuropean researchDiabaticHumidity01 natural sciencesClimatologyTemporal resolutionddc:550Environmental scienceRelative humidityCirrusTropopauseWater vapor0105 earth and related environmental sciences
researchProduct

ERA5-Land: A state-of-the-art global reanalysis dataset for land applications

2021

Framed within the Copernicus Climate Change Service (C3S) of the European Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is producing an enhanced global dataset for the land component of the fifth generation of European ReAnalysis (ERA5), hereafter referred to as ERA5-Land. Once completed, the period covered will span from 1950 to the present, with continuous updates to support land monitoring applications. ERA5-Land describes the evolution of the water and energy cycles over land in a consistent manner over the production period, which, among others, could be used to analyse trends and anomalies. This is achieved through global high-resolution numerical integrat…

010504 meteorology & atmospheric sciencesLEAF-AREA0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth SciencesClimate change02 engineering and technologyForcing (mathematics)SOIL-MOISTURESURFACE-TEMPERATURE01 natural sciencesLAKE PARAMETERIZATIONGE1-350Water cycle020701 environmental engineeringWEST-AFRICASATELLITENUMERICAL WEATHER PREDICTION0105 earth and related environmental sciencesQE1-996.5IN-SITUElevationGeologyOPERATIONAL IMPLEMENTATION15. Life on landNumerical weather predictionEnvironmental sciences[SDU]Sciences of the Universe [physics]13. Climate actionEarth and Environmental SciencesClimatologyTemporal resolutionSNOW MODELSGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteClimate model
researchProduct

High spatio- temporal resolution land surface temperature mission - a copernicus candidate mission in support of agricultural monitoring

2018

International audience; Evolution in the Copernicus Space Component (CSC) is foreseen in the mid-2020s to meet priority Copernicus user needs not addressed by the existing infrastructure, and/or to reinforce services by monitoring capability in the thematic domains of CO 2 , polar, and agriculture/forestry. This evolution will be synergetic with the enhanced continuity of services for the next generation of CSC. The “High Spatio-Temporal Resolution Land Surface Temperature Monitoring (LSTM) Mission”, identified as one of the CSC Expansion High Priority Candidate Missions (HPCM), currently undergoes an ESA preparatory phase (phase A/B1) study to establish mission feasibility. The LSTM missio…

010504 meteorology & atmospheric sciencesLand surface temperatureComputer sciencebusiness.industry[SDV]Life Sciences [q-bio]0208 environmental biotechnology02 engineering and technology01 natural sciences020801 environmental engineeringWater resourcesThematic map13. Climate actionAgricultureComponent (UML)Temporal resolution[SDE]Environmental SciencesSystems engineeringbusiness0105 earth and related environmental sciencesCopernicus
researchProduct

Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)

2019

The spatial quantification of green leaf area index (LAIgreen), the total green photosynthetically active leaf area per ground area, is a crucial biophysical variable for agroecosystem monitoring. The Sentinel-2 mission is with (1) a temporal resolution lower than a week, (2) a spatial resolution of up to 10 m, and (3) narrow bands in the red and red-edge region, a highly promising mission for agricultural monitoring. The aim of this work is to define an easy implementable LAIgreen index for the Sentinel-2 mission. Two large and independent multi-crop datasets of in situ collected LAIgreen measurements were used. Commonly used LAIgreen indices applied on the Sentinel-2 10 m &times

010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologiesRed edge02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistryremote sensingred-edgelcsh:TP1-1185Sensitivity (control systems)Electrical and Electronic EngineeringLeaf area indexInstrumentationImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPixelleaf area indexVegetation15. Life on landcropsAtomic and Molecular Physics and OpticsTemporal resolutionvegetation indicesSentinel-2Sensors
researchProduct

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
researchProduct

Downscaling hydrodynamics features to depict causes of major productivity of Sicilian-Maltese area and implications for resource management

2018

Abstract Chlorophyll- a ( CHL-a ) and sea surface temperature ( SST ) are generally accepted as proxies for water quality. They can be easily retrieved in a quasi-near real time mode through satellite remote sensing and, as such, they provide an overview of the water quality on a synoptic scale in open waters. Their distributions evolve in space and time in response to local and remote forcing, such as winds and currents, which however have much finer temporal and spatial scales than those resolvable by satellites in spite of recent advances in satellite remote-sensing techniques. Satellite data are often characterized by a moderate temporal resolution to adequately catch the actual sub-gri…

0106 biological sciencesEnvironmental Engineering010504 meteorology & atmospheric sciencesHF radar010604 marine biology & hydrobiologyForcing (mathematics)01 natural sciencesPollutionSSTSea surface temperatureCHL-aClimatologyTemporal resolutionSynoptic scale meteorologyEnvironmental ChemistrySatelliteResource managementSpatial variabilityBiologySpatial correlationWaste Management and DisposalSea surface current0105 earth and related environmental sciencesDownscaling
researchProduct