Search results for "Spectroradiometer"

showing 10 items of 97 documents

Remote sensing of chlorophyll fluorescence for estimation of stress in vegetation. Recommendations for future missions

2007

Vegetation monitoring is a key issue in Earth Observation due to its relation with the global CO2 cycle. Chlorophyll fluorescence (ChF) emitted by the vegetation is an accurate indicator of the plant status and their photosynthetic activity. This work analyses the diurnal evolution of the ChF emission spectrum and the fluorescence yield in order to determine the best conditions for remote sensing of ChF from a satellite platform. The ChF evolution is studied at leaf level during several diurnal cycles, in simulated conditions, for two species under different stress conditions. The analysis of the signal levels gives an estimation of the values of ChF emission which could be observed from a …

Earth observationSpectroradiometerDiurnal cycleEnvironmental scienceRadiometrySatellite550 - Earth sciencesEmission spectrumVegetationChlorophyll fluorescenceRemote sensingIGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12
researchProduct

A carbon sink-driven approach to estimate gross primary production from microwave satellite observations

2019

Abstract Global estimation of Gross Primary Production (GPP) - the uptake of atmospheric carbon dioxide by plants through photosynthesis - is commonly based on optical satellite remote sensing data. This presents a source-driven approach since it uses the amount of absorbed light, the main driver of photosynthesis, as a proxy for GPP. Vegetation Optical Depth (VOD) estimates obtained from microwave sensors provide an alternative and independent data source to estimate GPP on a global scale, which may complement existing GPP products. Recent studies have shown that VOD is related to aboveground biomass, and that both VOD and temporal changes in VOD relate to GPP. In this study, we build upon…

Earth observationTeledetecció010504 meteorology & atmospheric sciences0208 environmental biotechnologySoil ScienceComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyData_CODINGANDINFORMATIONTHEORY01 natural sciencesCross-validationFluxNetVegetacióComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingRadiometerComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPrimary productionGeology15. Life on landScatterometer020801 environmental engineeringSpectroradiometer13. Climate actionEnvironmental scienceSpatial variability
researchProduct

Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature

2009

[1] Land surface temperature (LST) is involved in many land surface processes such as evapotranspiration, net radiation, or air temperature modeling. In this paper we present an improved methodology to retrieve LST from Landsat 4 TM, Landsat 5 TM, and Landsat 7 ETM+ using four atmospheric databases covering different water vapor ranges (from 0 to 8 g cm−2) to build the LST retrieval models and using both water vapor and air temperature as input variables. We also compare this with LST retrievals using only water vapor or only air temperature, as well as with an existing LST retrieval algorithm. In order to validate the results, we have selected 77 Landsat images taken between 2002 and 2006 …

Earth's energy budgetAtmospheric ScienceEcologyMeteorologyMean squared errorPaleontologySoil ScienceForestryAquatic ScienceOceanographyAtmospheric temperatureGeophysicsSpace and Planetary ScienceGeochemistry and PetrologyAir temperatureEvapotranspirationEarth and Planetary Sciences (miscellaneous)Environmental scienceSatelliteModerate-resolution imaging spectroradiometerWater vaporEarth-Surface ProcessesWater Science and TechnologyRemote sensingJournal of Geophysical Research
researchProduct

Results from the Fourth WMO Filter Radiometer Comparison for aerosol optical depth measurements

2018

Abstract. This study presents the results of the Fourth Filter Radiometer Comparison that was held in Davos, Switzerland, between 28 September and 16 October 2015. Thirty filter radiometers and spectroradiometers from 12 countries participated including reference instruments from global aerosol networks. The absolute differences of all instruments compared to the reference have been based on the World Meteorological Organization (WMO) criterion defined as follows: 95% of the measured data has to be within 0.005 ± 0.001∕m (where m is the air mass). At least 24 out of 29 instruments achieved this goal at both 500 and 865 nm, while 12 out of 17 and 13 out of 21 achieved this at 368 and 412 nm,…

Earth's energy budgetTermodinàmica atmosfèricaAtmospheric ScienceAngstrom exponent010504 meteorology & atmospheric sciencesMeteorologi och atmosfärforskning01 natural sciencesAerosol optical depthlcsh:Chemistry010309 opticssymbols.namesakeAerosol networks0103 physical sciencesRayleigh scatteringradiometry field campaignRadiation balance0105 earth and related environmental sciencesRemote sensingAerosolsRadiometerlcsh:QC1-999AerosolSpectroradiometerlcsh:QD1-99913. Climate action[SDU]Sciences of the Universe [physics]Meteorology and Atmospheric SciencessymbolsEnvironmental scienceRadiometerSun photometerslcsh:PhysicsWater vapor
researchProduct

Comparing Airborne and Satellite Retrievals of Optical and Microphysical Properties of Cirrus and Deep Convective Clouds using a Radiance Ratio Techn…

2017

Abstract. Solar radiation reflected by cirrus and deep convective clouds (DCCs) was measured by the Spectral Modular Airborne Radiation Measurement System (SMART) installed on the German HALO (High Altitude and Long Range Research Aircraft) during the ML-CIRRUS and the ACRIDICON-CHUVA campaigns. In particular flights, HALO performed closely collocated measurements with overpasses of the Moderate Resolution Imaging Spectroradiometer (MODIS) on board of Aqua satellite. Based on the nadir upward radiance, the optical thickness τ and bulk particle effective radius reff of cirrus and DCC are retrieved using a radiance ratio algorithm which considers the cloud thermodynamic phase, the cloud verti…

Effective radius020209 energyCloud top02 engineering and technologyAlbedoAtmospheric sciences0202 electrical engineering electronic engineering information engineeringRadiative transferRadianceNadirEnvironmental scienceCirrusModerate-resolution imaging spectroradiometerAstrophysics::Galaxy AstrophysicsPhysics::Atmospheric and Oceanic PhysicsRemote sensing
researchProduct

Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain

2015

Abstract Lake eutrophication is a critical issue in the interplay of water supply, environmental management, and ecosystem conservation. Integrated sensing, monitoring, and modeling for a holistic lake water quality assessment with respect to multiple constituents is in acute need. The aim of this paper is to develop an integrated algorithm for data fusion and mining of satellite remote sensing images to generate daily estimates of some water quality parameters of interest, such as chlorophyll a concentrations and water transparency, to be applied for the assessment of the hypertrophic Albufera de Valencia. The Albufera de Valencia is the largest freshwater lake in Spain, which can often pr…

Environmental EngineeringManagement Monitoring Policy and LawRemote SensingMachine LearningWater SupplyWater QualityData MiningSpacecraftWaste Management and DisposalImage resolutionEcosystemRemote sensingGround truthSecchi diskLake managementGeneral MedicineData FusionLakesSpainThematic MapperTemporal resolutionEnvironmental scienceSpatial variabilityWater qualityModerate-resolution imaging spectroradiometerEnvironmental Monitoring
researchProduct

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions

2022

The modelling of Earth observation data is a challenging problem, typically approached by either purely mechanistic or purely data-driven methods. Mechanistic models encode the domain knowledge and physical rules governing the system. Such models, however, need the correct specification of all interactions between variables in the problem and the appropriate parameterization is a challenge in itself. On the other hand, machine learning approaches are flexible data-driven tools, able to approximate arbitrarily complex functions, but lack interpretability and struggle when data is scarce or in extrapolation regimes. In this paper, we argue that hybrid learning schemes that combine both approa…

FOS: Computer and information sciencesComputer Science - Machine LearningEarth observationAdvanced microwave scanning radiometer-2 (AMSR-2)moderate resolution imaging spectroradiometer (MODIS)Computer scienceleaf area index (LAI)0211 other engineering and technologiesExtrapolationMachine Learning (stat.ML)02 engineering and technologycomputer.software_genreMachine Learning (cs.LG)Data-drivenConvolutionsymbols.namesakeadvanced scatterometer (ASCAT)Statistics - Machine Learningordinary differential equation (ODE)Electrical and Electronic EngineeringGaussian processsoil moisture and ocean salinity (SMOS)021101 geological & geomatics engineeringInterpretabilityForcing (recursion theory)machine learning (ML)soil moisture (SM)time series analysisgaussian process (GP)symbolsGeneral Earth and Planetary SciencesDomain knowledgeData mininggap fillingphysicscomputerfraction of absorbed photosynthetically active radiation (faPAR)IEEE Transactions on Geoscience and Remote Sensing
researchProduct

Application of artificial neural networks and logistic regression to the prediction of forest fire danger in Galicia using MODIS data

2012

Fire danger models are a very useful tool for the prevention and extinction of forest fires. Some inputs of these models, such as vegetation status and temperature, can be obtained from remote sensing images, which offer higher spatial and temporal resolution than direct ground measures. In this paper, we focus on the Galicia region (north-west of Spain), and MODIS (Moderate Resolution Imaging Spectroradiometer) images are used to monitor vegetation status and to obtain land surface temperature as essential inputs in forest fire danger models. In this work, we tested the potential of artificial neural networks and logistic regression to estimate forest fire danger from remote sensing and f…

GeographyEcologyFire regimeArtificial neural networkRemote sensing (archaeology)Fire preventionPoison controlForestryEnhanced vegetation indexVegetationModerate-resolution imaging spectroradiometerRemote sensingInternational Journal of Wildland Fire
researchProduct

New geo-portal for MODIS/SEVIRI image products with geolocation-based retrieval functionality

2015

A large number of remote sensing data sets have been collected in recent years by Earth observation instruments such as the moderate resolution imaging spectroradiometer (MODIS) aboard the Terra/Aqua satellite and the spinning enhanced visible and infrared imager (SEVIRI) aboard the geostationary platform Meteosat Second Generation. The advanced remote sensing products resulting from the analysis of these data are useful in a wide variety of appli- cations but require significant resources in terms of storage, retrieval, and analysis. Despite the wide availability of these MODIS/SEVIRI products, the data coming from these instruments are spread among different locations and retrieved from d…

GeolocationUploadEarth observationbusiness.industryComputer scienceData managementScalabilityGeneral Earth and Planetary SciencesModerate-resolution imaging spectroradiometerInformation repositorybusinessImage retrievalRemote sensingJournal of Applied Remote Sensing
researchProduct

Intercomparison of remote-sensing based evapotranspiration algorithms over amazonian forests

2019

Abstract Evapotranspiration (ET) is considered a key variable in the understanding of the Amazonian tropical forests and their response to climate change. Remote-Sensing (RS) based evapotranspiration models are presented as a feasible means in order to provide accurate spatially-distributed ET estimates over this region. In this work, the performance of four commonly used ET RS models was evaluated over Amazonia using Moderate Resolution Imaging Spectroradiometer (MODIS) data. RS models included i) Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), ii) Penman-Monteith MODIS operative parametrization (PM-Mu), iii) Surface Energy Balance System (SEBS), and iv) Satellite Application Facility…

Global and Planetary ChangeAmazonian tropical forests; Terrestrial evapotranspiration; MODIS; Reanalysis010504 meteorology & atmospheric sciencesAmazonianCloud cover0211 other engineering and technologiesAmazonian tropical forestsClimate changeReanalysis02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesVariable (computer science)MODISEvapotranspirationEnvironmental scienceParametrization (atmospheric modeling)SatelliteModerate-resolution imaging spectroradiometerComputers in Earth SciencesTerrestrial evapotranspirationAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesInternational Journal of Applied Earth Observation and Geoinformation
researchProduct