Search results for "Geomatic"

showing 10 items of 506 documents

Evaluation of the AVHRR surface reflectance long term data record between 1984 and 2011

2021

Abstract The long-term data record (LTDR) from the Advanced Very High-Resolution Radiometer (AVHRR) provides daily surface reflectance with global coverage from the 1980s to present day, making it a unique source of information for the study of land surface properties and their long-term dynamics. Surface reflectance is a critical input for the generation of products such as vegetation indices, albedo, and land cover. Therefore, it is of utmost importance to quantify its uncertainties to better understand how they might propagate into downstream products. Due to the prolonged length of the surface reflectance LTDR and previous unavailability of a well calibrated reference, no comprehensive …

Normalization (statistics)010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyLand coverManagement Monitoring Policy and Law01 natural sciencesComputers in Earth SciencesComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensing[PHYS]Physics [physics]Global and Planetary ChangeRadiometerHyperspectral imagingSpectral bands15. Life on landAlbedo13. Climate actionThematic Mapper[SDU]Sciences of the Universe [physics][SDE]Environmental SciencesEnvironmental scienceBidirectional reflectance distribution function
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Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants

2017

Remote sensing is a suitable candidate for monitoring rapid changes in Polar regions, offering high-resolution spectral, spatial and radiometric data. This paper focuses on the spectral properties of dominant plant species acquired during the first week of August 2015. Twenty-eight plots were selected, which could easily be identified in the field as well as on RapidEye satellite imagery. Spectral measurements of individual species were acquired, and heavy metal contamination stress factors were measured contemporaneously. As a result, a unique spectral library of dominant plant species, heavy metal concentrations and damage ratios were achieved with an indication that species-specific chan…

Optical sampling<em>Dryas octopetala</em>010504 meteorology & atmospheric sciencesScienceDryas octopetala:Zoology and botany: 480 [VDP]0211 other engineering and technologiesRed edge02 engineering and technologyAtmospheric sciences01 natural sciencesCassiope tetragonaNormalized Difference Vegetation IndexSvalbard<em>Cassiope tetragona</em>Cassiope tetragonaSatellite imagerySalix polaris<em> Salix polaris</em>Arctic vegetationDryas octopetalaRapidEye:Zoologiske og botaniske fag: 480 [VDP]Tundra021101 geological & geomatics engineering0105 earth and related environmental sciencesbiologySpectrometryQRed edgebiology.organism_classificationSalix polarisTundravegetation indicesBistorta viviparaGeneral Earth and Planetary SciencesEnvironmental science<em>Bistorta vivipara</em>Remote Sensing
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Numerical Analysis of Bearing Capacity of a Ring Footing on Geogrid Reinforced Sand

2021

A ring footing is found to be of practical importance in supporting symmetrical constructions for example silos, oil storage container etc. In the present paper, numerical analysis was carried out with explicit code FLAC3D 7.0 to investigate bearing capacity of a ring footing on geogrid reinforced sand. Effects of the ratio n of its inner/outer diameter (Di/D) of a ring footing, an optimum depth to lay the geogrid layer were examined. It was found that an intersection zone was developed in soil under inner-side (aisle) of ring footing, contributing to its bearing capacity. Substantial increase of bearing capacities could be realized if ratio n of a ring footing was around 0.6. Numerical res…

Outer diameternumerical analysis0211 other engineering and technologies02 engineering and technologyring footing; bearing capacity; geogrid reinforcement; numerical analysisRing (chemistry)lcsh:TH1-9745Geogridlaw.inventiongeogrid reinforcementlaw021105 building & constructionArchitectureGeotechnical engineeringBearing capacityOil storage021101 geological & geomatics engineeringCivil and Structural EngineeringMathematicsBearing (mechanical)bearing capacityNumerical analysisBuilding and ConstructionVDP::Teknologi: 500ring footinglcsh:Building construction
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Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis

2016

Physically-based radiative transfer models (RTMs) help understand the interactions of radiation with vegetation and atmosphere. However, advanced RTMs can be computationally burdensome, which makes them impractical in many real applications, especially when many state conditions and model couplings need to be studied. To overcome this problem, it is proposed to substitute RTMs through surrogate meta-models also named emulators. Emulators approximate the functioning of RTMs through statistical learning regression methods, and can open many new applications because of their computational efficiency and outstanding accuracy. Emulators allow fast global sensitivity analysis (GSA) studies on adv…

PROSPECTSAIL010504 meteorology & atmospheric sciencesradiative transfer modelsScience0211 other engineering and technologies02 engineering and technologyemulatorSolar irradiance01 natural sciencessymbols.namesakeRadiative transferSensitivity (control systems)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMathematicsMODTRANArtificial neural networkMODTRANQDiffuse sky radiationemulator; global sensitivity analysis; machine learning; radiative transfer models; PROSPECT; SAIL; MODTRANmachine learningglobal sensitivity analysisRadiancesymbolsGeneral Earth and Planetary SciencesRemote Sensing
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Hyperspectral imaging reveals spectral differences and can distinguish malignant melanoma from pigmented basal cell carcinomas : A pilot study

2021

Pigmented basal cell carcinomas can be difficult to distinguish from melanocytic tumours. Hyperspectral imaging is a non-invasive imaging technique that measures the reflectance spectra of skin in vivo. The aim of this prospective pilot study was to use a convolutional neural network classifier in hyperspectral images for differential diagnosis between pigmented basal cell carcinomas and melanoma. A total of 26 pigmented lesions (10 pigmented basal cell carcinomas, 12 melanomas in situ, 4 invasive melanomas) were imaged with hyperspectral imaging and excised for histopathological diagnosis. For 2-class classifier (melanocytic tumours vs pigmented basal cell carcinomas) using the majority of…

Pathologymedicine.medical_specialtySkin Neoplasms010504 meteorology & atmospheric sciencesneural network3122 Cancers0211 other engineering and technologiesmalignant melanomaPilot Projects02 engineering and technologyneuroverkotDermatologytyvisolusyöpä3121 Internal medicine01 natural sciencesSensitivity and SpecificityLesionihosyöpäDiagnosis Differentialbasal cell carcinomamedicineHumansBasal cell carcinomaBasal cellProspective StudiesMelanoma021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryMelanomaspektrikuvausHyperspectral imagingdeep learningGeneral MedicineHyperspectral Imagingdiagnostiikkamedicine.disease3126 Surgery anesthesiology intensive care radiologyReflectivityConfidence interval3. Good healthkoneoppiminenCarcinoma Basal CellRL1-8033121 General medicine internal medicine and other clinical medicinemedicine.symptomDifferential diagnosisbusiness
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The GIS-WEB application for a better knowledge of the road accident characteristics. A study on pedestrian and vehicular mobility safety

2009

Pedestrian Safety WEB-GIS Geomatics Pedestrian Data
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Spatio-temporal dynamics of a small arctic hydrosystem : nivo-glaciologic approaches in a climate change context (Austre Lovén glacier, Spitsberg, 79…

2011

Leaning on long field campaigns, this thesis offer both qualitative and quantitative overview of polarregion nivo-glaciologic dynamics through a geographic approach, in context of climate change. Thiswork is part of the Hydro-sensor FlOWS program taking place during the International Polar Year.Upstream of this pluridisciplinary program aimed at understanding the hydrological processes of asmall polar hydrosystem, it was necessary to add a more specific study on the role of snow and icein the hydrological equation : this is the subject of this PhD.The glacial basin of Austre Lovénbreen (10 km2, Spitsberg – 79°N) served as a field of study in ageographical approach at local scale. Many metho…

Physical geographyGlaciologyArctiqueTélédétectionAustre Lovénbreen[SHS.GEO] Humanities and Social Sciences/GeographyGeomaticsGlaciologieRemote sensingGISSIGSvalbardArcticGéomatiqueImage processingNivologieNivologyGéographie physiqueHydrologyTraitement de l'imageHydrologie
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Physics-Aware Machine Learning For Geosciences And Remote Sensing

2021

Machine learning models alone are excellent approximators, but very often do not respect the most elementary laws of physics, like mass or energy conservation, so consistency and confidence are compromised. In this paper we describe the main challenges ahead in the field, and introduce several ways to live in the Physics and machine learning interplay: encoding differential equations from data, constraining data-driven models with physics-priors and dependence constraints, improving parameterizations, emulating physical models, and blending data-driven and process-based models. This is a collective long-term AI agenda towards developing and applying algorithms capable of discovering knowled…

Physics010504 meteorology & atmospheric sciencesMathematical modelbusiness.industry0211 other engineering and technologies02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesField (computer science)Data modelingEnergy conservationEarth system scienceConsistency (database systems)Encoding (memory)Artificial intelligencebusinesscomputerGeology021101 geological & geomatics engineering0105 earth and related environmental sciencesPhysical lawIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium 2021
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Can turbulence within the field of view cause significant biases in radiative transfer modeling at the 183&thinsp;GHz band?

2018

The hypothesis whether turbulence within the passive microwave sounders field of view can cause significant biases in radiative transfer modeling at the 183&thinsp;GHz water vapor absorption band is tested. A novel method to calculate the effects of turbulence in radiative transfer modeling is presented. It is shown that the turbulent nature of water vapor in the atmosphere can be a critical component of radiative transfer modeling in this band. Radiative transfer simulations are performed comparing a uniform field with a turbulent one. These comparisons show frequency dependent biases which can be up to several kelvin in brightness temperature. These biases can match experimentally observe…

PhysicsAtmospheric Science010504 meteorology & atmospheric sciencesTurbulencelcsh:TA715-787lcsh:Earthwork. Foundations0211 other engineering and technologies02 engineering and technology01 natural sciencesClear-air turbulenceComputational physicslaw.inventionlcsh:Environmental engineeringPhysics::Fluid DynamicsTroposphereAtmospherelawBrightness temperatureRadiosondeRadiative transferlcsh:TA170-171Water vaporPhysics::Atmospheric and Oceanic Physics021101 geological & geomatics engineering0105 earth and related environmental sciencesAtmospheric Measurement Techniques
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2016

The wealth of sensory data coming from different modalities has opened numerous opportunities for data analysis. The data are of increasing volume, complexity and dimensionality, thus calling for new methodological innovations towards multimodal data processing. However, multimodal architectures must rely on models able to adapt to changes in the data distribution. Differences in the density functions can be due to changes in acquisition conditions (pose, illumination), sensors characteristics (number of channels, resolution) or different views (e.g. street level vs. aerial views of a same building). We call these different acquisition modes domains, and refer to the adaptation problem as d…

PhysicsManifold alignmentMultidisciplinaryTheoretical computer science0211 other engineering and technologiesCognitive neuroscience of visual object recognition02 engineering and technologyBioinformaticsManifoldKernel methodDiscriminative modelKernel (statistics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCanonical correlation021101 geological & geomatics engineeringCurse of dimensionalityPLOS ONE
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