Search results for " geomatics"

showing 10 items of 479 documents

Effect of the mineralogical composition on the elastoplastic hydromechanical response of Opalinus Clay shale

2021

Abstract Opalinus Clay is the shale currently under investigation as the host formation for geological radioactive waste disposal in Switzerland. Its hydromechanical response has been widely studied, and the experimental results show a range of values whose dispersion needs to be clarified. This work aims to explain the dispersion in the literature results by correlating the hydro-mechanical response to the mineralogical variability of the tested specimens . Based on published microstructural studies, the Opalinus Clay shale is herein schematised as a sequence of two kinds of layers: the shaly (high in clay-mineral content) and the sandy (low in clay-mineral content) layers. The mineralogic…

Settore ICAR/07 - Geotecnica0211 other engineering and technologiesMineralogy02 engineering and technologyGeotechnical Engineering and Engineering GeologyDispersion (geology)Mineralogical compositionAnisotropy Composition Elasto-plasticity Mineralogy Opalinus clay ShaleLayered structureTransverse isotropyCompressibilityAnisotropyPorosityOil shaleGeology021101 geological & geomatics engineering021102 mining & metallurgy
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The Residual Shear Strength of the Shaly and Sandy Facies of the Opalinus Clay

2018

The paper presents a comprehensive laboratory campaign carried out with the aim to asses the residual strength of the Opalinus Clay. Ring shear tests with vertical effective stress up to 1 MPa were performed on remoulded samples of two different facies of the Opalinus Clay. Test results show that the «Shaly» facies is characterized by a low range of variation of residual strength while the strength of the «Sandy» facies is very sensitive to the variation of grain size distribution. Microstructural analyses (SEM) suggest that the difference in the observed mechanical behavior of the two facies can be related to different particles arrangements along the shear surfaces.

Settore ICAR/07 - GeotecnicaEffective stress0211 other engineering and technologies02 engineering and technologyGeotechnical Engineering and Engineering Geology010502 geochemistry & geophysics01 natural sciencesResidual strengthShear (geology)Mechanics of MaterialsResidual shear strengthFaciesParticle-size distributionGeotechnical engineeringGeology021101 geological & geomatics engineering0105 earth and related environmental sciences
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Life cycle environmental assessment of retaining walls in unsaturated soils

2022

Abstract Retaining structures above groundwater level support soils that are usually in a state of partial saturation and subject to the actions of atmospheric agents. The current design approach considers the possible extremes of soil conditions – either totally dry or totally saturated – but it neglects matric suction’s contribution to soil shear strength. This work aims to describe how unsaturated-soil mechanics of can positively influence the sustainability of retaining structures through a holistic, multidisciplinary, geotechnical, and environmental analysis. The geotechnical analysis allows to estimate the lateral earth pressure of a geostructure in both unsaturated and extreme soil c…

Settore ICAR/07 - GeotecnicaEnvironmental analysis0211 other engineering and technologies02 engineering and technologySiltLife Cycle Assessment (LCA) Retaining structures Unsaturated soils010502 geochemistry & geophysicsGeotechnical Engineering and Engineering GeologyRetaining wall01 natural sciencesLateral earth pressureSoil waterEnvironmental scienceGeotechnical engineeringEnvironmental impact assessmentComputers in Earth SciencesSafety Risk Reliability and QualityLife-cycle assessmentGroundwater021101 geological & geomatics engineering0105 earth and related environmental sciencesGeomechanics for Energy and the Environment
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Monitoring tropical forests under a functional perspective with satellite-based vegetation optical depth.

2020

Monitoring ecosystem functions in forests is a priority in a climate change scenario, as climate-induced events may initially alter the functions more than slow-changing attributes, such as biomass. The ecosystem functional properties (EFPs) are quantities that characterize key ecosystem processes. They can be derived by point observations of gas and energy exchanges between the ecosystems and the atmosphere that are collected globally at FLUXNET flux tower sites and upscaled at ecosystem level. The properties here considered describe the ability of ecosystems to optimize the use of resources for carbon uptake. They represent functional forest information, are dependent on environmental dri…

Settore ING-INF/02010504 meteorology & atmospheric sciencesClimate Changeecosystem functional properties0211 other engineering and technologiesFluxClimate changeGPPmax02 engineering and technologyForestsAtmospheric sciences01 natural sciencesvegetation optical depthTreesFluxNetClimate change scenarioLUEEnvironmental ChemistryEcosystemWater contentEcosystem021101 geological & geomatics engineering0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal and Planetary ChangeBiomass (ecology)Ecology15. Life on landSouth America13. Climate actionAfricaEnvironmental scienceSatelliteGlobal change biologyREFERENCES
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A Low Cost Solution for NOAA Remote Sensing

2018

United States National Oceanic and Atmospheric Administration (NOAA) weather satellites adopt Advanced Very High Resolution Radiometer (AVHRR) sensors to acquire remote sensing data and broadcast Automatic Picture Transmission (APT) images. The orientation of the scan lines is perpendicular to the orbit of the satellite. In this paper we propose a new low cost solution for NOAA remote sensing. More in detail, our method focuses on the possibility of directly sampling the modulated signal and processing it entirely in software enabled by recent breakthroughs on Software Defined Radios (SDR) and CPU computational speed, while keeping the costs extremely low. We aim to achieve good results wit…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSignal processingComputer Networks and CommunicationsComputer science0211 other engineering and technologiesComputer Science Applications1707 Computer Vision and Pattern RecognitionInformation System02 engineering and technologyRemote SensingRemote sensing (archaeology)Signal ProcessingInformation systemCommunications satelliteSatellite CommunicationElectrical and Electronic Engineering021101 geological & geomatics engineeringRemote sensingProceedings of the 7th International Conference on Sensor Networks
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On the hydro-mechanical behaviour of remoulded and natural Opalinus Clay shale

2016

The geo-energy sector makes use of advanced technologies such as shale gas extraction, CO2 sequestration and nuclear waste geological disposal that rely on the exploitation of shale formations. Due to the great depths involved in these applications and the difficulties in retrieving intact samples, remoulded shale specimens are often adopted for hydro-mechanical testing. Remoulded and intact shales may substantially differ in their hydro-mechanical behaviour due to the particular structure of the natural material, which is the result of diagenesis and burial history. This paper presents an experimental campaign aimed at (i) characterizing the role of diagenesis and depth for Opalinus Clay s…

Shale gasEffective stress0211 other engineering and technologiesCompaction02 engineering and technology010502 geochemistry & geophysics01 natural sciencesGeotechnical engineeringdiagenesis.PorosityOpalinus Clay021101 geological & geomatics engineering0105 earth and related environmental sciencesDiagenesiSettore ICAR/07 - GeotecnicaGeologyGeotechnical Engineering and Engineering GeologyDiagenesisPermeability (earth sciences)intrinsic propertiesCreepHydro-mechanical behaviourremoulded shalesOil shaleGeologyIntrinsic propertieRemoulded shale
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Present-day use of an empirical wave prediction method

2016

Knowledge of the offshore wave climate is key to the design of coastal engineering structures and to the study of shoreline evolution. To date, the available wave data have been limited both in time and space; even though there are several options for obtaining wave data calculated using complex numerical models at basin scale, design issues can in some cases be solved by means of simpler models. This paper shows whether, under certain conditions and in an enclosed basin, an old empirical model can provide results that are good enough to determine the design condition necessary for engineering purposes. The empirical model chosen to answer this question is called Sverdrup–Munk–Bretschneide…

ShoreEngineeringgeographygeography.geographical_feature_categoryBuoySpacetimebusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia0211 other engineering and technologiesDesign methods and aidOcean Engineering02 engineering and technologyStructural basinPresent dayCivil engineeringCoastal engineeringSettore ICAR/01 - Idraulica021105 building & constructionCoastal engineeringSubmarine pipelineMathematical modelingbusinessBasin scale021101 geological & geomatics engineering
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Statistical Learning for End-to-End Simulations

2018

End-to-end mission performance simulators (E2ES) are suitable tools to accelerate satellite mission development from concet to deployment. One core element of these E2ES is the generation of synthetic scenes that are observed by the various instruments of an Earth Observation mission. The generation of these scenes rely on Radiative Transfer Models (RTM) for the simulation of light interaction with the Earth surface and atmosphere. However, the execution of advanced RTMs is impractical due to their large computation burden. Classical interpolation and statistical emulation methods of pre-computed Look-Up Tables (LUT) are therefore common practice to generate synthetic scenes in a reasonable…

Signal Processing (eess.SP)Earth observation010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesFOS: Physical sciences02 engineering and technologyLinear interpolation01 natural sciencesSpectral lineComputational sciencesymbols.namesakeSampling (signal processing)Radiative transferFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingGaussian processInstrumentation and Methods for Astrophysics (astro-ph.IM)021101 geological & geomatics engineering0105 earth and related environmental sciencesEmulationGround-penetrating radarLookup tableRadiancesymbolsAstrophysics - Instrumentation and Methods for AstrophysicsInterpolation
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Physics-aware Gaussian processes in remote sensing

2018

Abstract Earth observation from satellite sensory data poses challenging problems, where machine learning is currently a key player. In recent years, Gaussian Process (GP) regression has excelled in biophysical parameter estimation tasks from airborne and satellite observations. GP regression is based on solid Bayesian statistics, and generally yields efficient and accurate parameter estimates. However, GPs are typically used for inverse modeling based on concurrent observations and in situ measurements only. Very often a forward model encoding the well-understood physical relations between the state vector and the radiance observations is available though and could be useful to improve pre…

Signal Processing (eess.SP)FOS: Computer and information sciences010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyStatistics - Applications01 natural sciencessymbols.namesakeFOS: Electrical engineering electronic engineering information engineeringApplications (stat.AP)Electrical Engineering and Systems Science - Signal ProcessingGaussian processGaussian process emulator021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryEstimation theoryBayesian optimizationState vectorMissing dataBayesian statisticssymbolsGlobal Positioning SystembusinessAlgorithmSoftwareApplied Soft Computing
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Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval

2016

Kernel-based machine learning regression algorithms (MLRAs) are potentially powerful methods for being implemented into operational biophysical variable retrieval schemes. However, they face difficulties in coping with large training data sets. With the increasing amount of optical remote sensing data made available for analysis and the possibility of using a large amount of simulated data from radiative transfer models (RTMs) to train kernel MLRAs, efficient data reduction techniques will need to be implemented. Active learning (AL) methods enable to select the most informative samples in a data set. This letter introduces six AL methods for achieving optimized biophysical variable estimat…

Signal Processing (eess.SP)FOS: Computer and information sciences010504 meteorology & atmospheric sciencesComputer scienceActive learning (machine learning)Computer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition0211 other engineering and technologies02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesData modelingSet (abstract data type)Kernel (linear algebra)FOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingElectrical and Electronic Engineering021101 geological & geomatics engineering0105 earth and related environmental sciencesTraining setbusiness.industryImage and Video Processing (eess.IV)Sampling (statistics)Electrical Engineering and Systems Science - Image and Video ProcessingGeotechnical Engineering and Engineering GeologyData setKernel (statistics)Data miningArtificial intelligencebusinesscomputerIEEE Geoscience and Remote Sensing Letters
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