Search results for "Engineering and Technology"

showing 10 items of 16184 documents

A case study of the radiative effect of aerosols over Europe: EUCAARI-LONGREX

2016

The radiative effect of anthropogenic aerosols over Europe during the 2008 European Integrated Project on Aerosol Cloud Climate and Air Quality Interactions Long Range Experiment (EUCAARI-LONGREX) campaign has been calculated using measurements collected by the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft and radiative transfer modelling. The aircraft sampled anthropogenically perturbed air masses across north-western Europe under anticyclonic conditions with aerosol optical depths ranging from 0.047 to 0.357. For one specially designed “radiative closure” flight, simulated irradiances have been compared to radiation measurements for a case of aged European aerosol…

010504 meteorology & atmospheric sciences13. Climate action0207 environmental engineering02 engineering and technology020701 environmental engineering01 natural sciences0105 earth and related environmental sciences
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The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

2021

Funding Information: We are thankful to the GlobBiomass project team and Frank Martin Seifert (ESA) for valuable suggestions and stimulating scientific discussions. We are thankful to Takeo Tadono (JAXA EORC), Masato Hayashi, (JAXA EORC), Kazufumi Kobayashi (RESTEC), Åke Rosenqvist (soloEO), and Josef Kellndorfer (EBD) for support with the use and interpretation of the ALOS PALSAR mosaics. Support by the CCI Land Cover project team, in particular Sophie Bontemps (UCL), is greatly acknowledged. The help from Martin Jung (MPI-BGC) in feature selection and Ulrich Weber (MPI-BGC) for data processing for the GSV-to-AGB conversions is greatly acknowledged. Forest inventory data for the validation…

010504 meteorology & atmospheric sciencesALOS PALSAR0211 other engineering and technologies02 engineering and technology01 natural sciencesLaboratory of Geo-information Science and Remote SensingSDG 13 - Climate ActionGE1-350BiomassEMISSIONSSDG 15 - Life on LandQE1-996.5GROWING STOCK VOLUMETaigaGeologyPE&RCPlant Production SystemsMAPbiomaCARBON-CYCLECrop and Weed EcologySynthetic aperture radarPhysical geographyRETRIEVALUNITED-STATESEarth and Planetary Sciences(all)Synthetic aperture radarSubtropicsSpatial distributionEnvironmental scienceCarbon cycletropicsTemperate climateBOREAL FORESTSMANAGEMENTLife ScienceSpatial ecologySpatial distributionLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesForest inventoryRadarTemperate climateEnvironmental sciencesSatelliteEarth and Environmental SciencesDENSITYPlantaardige ProductiesystemenSpatial ecologyEnvironmental scienceGeneral Earth and Planetary SciencescavelabPhysical geographyForest inventory
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Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves

2016

Abstract Reference evapotranspiration (ET 0 ) is widely used for irrigation scheduling, to promote an efficient use of water resources for a sustainable agro-ecosystem productivity, as well as to manage water quality and to face other environmental concerns. As suggested by ASCE-EWRI and FAO, standard Penman–Monteith methods are generally applied for an accurate estimation of ET 0 from hourly to daily scale. In absence of detailed meteorological information several simplified equations, using a limited number of variables, have been proposed as alternative. In this paper, the performance of different reference evapotranspiration methods, at hourly (Penman–Monteith, Pristley–Taylor, Makkink …

010504 meteorology & atmospheric sciencesASCE and FAO-56 papers0208 environmental biotechnologySoil Science02 engineering and technologyET Radiation based models01 natural scienceslaw.inventionWater balancelawScintillometerEvapotranspirationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliReference evapotranspiration; ASCE and FAO-56 papers; Scintillometer; ET Radiation based modelsReference evapotranspirationPenman–Monteith equation0105 earth and related environmental sciencesWater Science and TechnologyEarth-Surface ProcessesHydrologyEvapotranspirationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaIrrigation schedulingMicrometeorology020801 environmental engineeringWater resourcesScintillometerEnvironmental scienceWater qualityMediterranean climateScale (map)Agronomy and Crop Science
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Generation of global vegetation products from EUMETSAT AVHRR/METOP satellites

2020

We describe the methodology applied for the retrieval of global LAI, FAPAR and FVC from Advanced Very High Resolution Radiometer (AVHRR) onboard the Meteorological-Operational (MetOp) polar orbiting satellites also known as EUMETSAT Polar System (EPS). A novel approach has been developed for the joint retrieval of three parameters (LAI, FVC, and FAPAR) instead of training one model per parameter. The method relies on multi-output Gaussian Processes Regression (GPR) trained over PROSAIL EPS simulations. A sensitivity analysis is performed to assess several sources of uncertainties in retrievals and maximize the positive impact of modeling the noise in training simulations. We describe the ma…

010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerComputer scienceImage and Video Processing (eess.IV)0211 other engineering and technologiesPolar orbit02 engineering and technologyVegetationAtmospheric modelElectrical Engineering and Systems Science - Image and Video Processing01 natural sciencesGround-penetrating radarFOS: Electrical engineering electronic engineering information engineeringSatelliteSensitivity (control systems)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Derivation of global vegetation biophysical parameters from EUMETSAT Polar System

2020

Abstract This paper presents the algorithm developed in LSA-SAF (Satellite Application Facility for Land Surface Analysis) for the derivation of global vegetation parameters from the AVHRR (Advanced Very High Resolution Radiometer) sensor on board MetOp (Meteorological–Operational) satellites forming the EUMETSAT (European Organization for the Exploitation of Meteorological Satellites) Polar System (EPS). The suite of LSA-SAF EPS vegetation products includes the leaf area index (LAI), the fractional vegetation cover (FVC), and the fraction of absorbed photosynthetically active radiation (FAPAR). LAI, FAPAR, and FVC characterize the structure and the functioning of vegetation and are key par…

010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerImage and Video Processing (eess.IV)0211 other engineering and technologies02 engineering and technologyVegetationElectrical Engineering and Systems Science - Image and Video Processing01 natural sciencesAtomic and Molecular Physics and OpticsComputer Science Applications13. Climate actionKrigingFOS: Electrical engineering electronic engineering information engineeringRadiative transferRange (statistics)Environmental scienceSatelliteSensitivity (control systems)Computers in Earth SciencesLeaf area indexEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingISPRS Journal of Photogrammetry and Remote Sensing
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Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): Synergetic Exploitation of the Sentinel-2 …

2018

Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Sentinel-3 Ocean and Land Colour Instrument (OLCI), and to ensure its utility in a wide range of operational applications, validation efforts are required. In the past, these activities have been constrained by the need for costly airborne hyperspectral data acquisition, but the Sentinel-2 Multispectral Instrument (MSI) now offers a promising alternative. In this paper, we explore the synergetic use of Sentinel-2 MSI data for validation of the Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI) over the Valencia Anchor Station, a large agricultural site in the Valen…

010504 meteorology & atmospheric sciencesAgricultural siteMultispectral image0211 other engineering and technologiesImaging spectrometerHyperspectral imaging02 engineering and technology01 natural sciencesValencian communityMedium resolutionChlorophyll indexData acquisitionEnvironmental science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Record-breaking warming and extreme drought in the Amazon rainforest during the course of El Niño 2015–2016

2016

AbstractThe El Niño-Southern Oscillation (ENSO) is the main driver of interannual climate extremes in Amazonia and other tropical regions. The current 2015/2016 EN event was expected to be as strong as the EN of the century in 1997/98, with extreme heat and drought over most of Amazonian rainforests. Here we show that this protracted EN event, combined with the regional warming trend, was associated with unprecedented warming and a larger extent of extreme drought in Amazonia compared to the earlier strong EN events in 1982/83 and 1997/98. Typical EN-like drought conditions were observed only in eastern Amazonia, whilst in western Amazonia there was an unusual wetting. We attribute this wet…

010504 meteorology & atmospheric sciencesAmazonian0208 environmental biotechnologyClimate change02 engineering and technologyRainforest01 natural sciencesArticle//purl.org/pe-repo/ocde/ford#1.05.00 [http]Environmental impactEcosystem0105 earth and related environmental sciences//purl.org/pe-repo/ocde/ford#1.05.09 [http]MultidisciplinaryAmazon rainforestOcean currentTropics020801 environmental engineeringGeography//purl.org/pe-repo/ocde/ford#1.05.10 [http][SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology13. Climate actionClimatologyAbrupt climate changeENSOClimate-change impacts
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Fractals and geography

2007

010504 meteorology & atmospheric sciencesAnthropology[SHS.GEO] Humanities and Social Sciences/Geography0211 other engineering and technologies021107 urban & regional planning02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/GeographyGeographyCartographymodèles mathématiquesanalyse spatiale0105 earth and related environmental sciences
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Modeling the Effects of Climate Change on the Supply of Phosphate-Phosphorus

2009

The transfer of phosphorus from terrestrial to aquatic ecosystems is a key route through which climate can influence aquatic ecosystems. A number of climatic factors interact in complex ways to regulate the transfer of phosphorus and modulate its ecological effects on downstream lakes and reservoirs. Processes influencing both the amount and timing of phosphorus export from terrestrial watersheds must be quantified before we can assess the direct and indirect effects of the weather on the supply and recycling of phosphorus. Simulation of the export of phosphorus from the terrestrial environment is complicated by the fact that it is difficult to describe seasonal and inter-annual variations …

010504 meteorology & atmospheric sciencesAquatic ecosystemPhosphorus0207 environmental engineeringchemistry.chemical_elementSoil science02 engineering and technology15. Life on landAtmospheric sciences01 natural sciences6. Clean waterExtreme weatherchemistry13. Climate actionEffects of global warmingEvapotranspirationEnvironmental scienceTerrestrial ecosystemPrecipitation020701 environmental engineeringSurface runoff0105 earth and related environmental sciences
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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
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