Search results for "Geomatic"

showing 10 items of 506 documents

Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe

2015

International audience; This paper focuses on a new approach to account for soil roughness effects in the retrieval of soil moisture (SM) at L-band in the framework of the SMOS (Soil Moisture and Ocean Salinity) mission: the Simplified Roughness Parameterization (SRP). While the classical retrieval approach considers SM and τ nad (vegetation optical depth) as retrieved parameters, this approach is based on the retrieval of SM and the TR parameter combining τ nad and soil roughness (TR τ nad + Hr /2). Different roughness parameterizations were tested to find the best correlation (R), bias and unbiased RMSE (ubRMSE) when comparing homogeneous retrievals of SM and in situ SM measurements carri…

L bandVegetation optical depth010504 meteorology & atmospheric sciencesMean squared errorvegetation mapping0211 other engineering and technologiesSampling (statistics)[SDU.STU]Sciences of the Universe [physics]/Earth SciencesSoil science02 engineering and technologySurface finish01 natural sciencesL-bandHomogeneousEnvironmental sciencesoil measurementsmicrowave radiometrysoil moistureWater contentSoil roughness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingmathematical model021101 geological & geomatics engineering0105 earth and related environmental sciences
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NOAA-AVHRR Orbital Drift Correction: Validating Methods Using MSG-SEVIRI Data as a Benchmark Dataset

2021

National Oceanic and Atmospheric Administration–Advanced Very High Resolution Radiometer (NOAA-AVHRR) data provides the possibility to build the longest Land Surface Temperature (LST) dataset to date, starting in 1981 up to the present. However, due to the orbital drift of the NOAA platforms, no LST dataset is available before 2000 and the arrival of newer platforms. Although numerous methods have been developed to correct this orbital drift effect on the LST, a lack of validation has prevented their application. This is the gap we bridge here by using the 15 min temporal resolution of Meteosat Second Generation–Spinning Enhanced Visible and Infra-Red Imager (MSG-SEVIRI) data to simulate dr…

LSTRadiometer010504 meteorology & atmospheric sciencesSeries (mathematics)ScienceQLST; temperature; time series; homogenizationhomogenization0211 other engineering and technologiesSolar zenith angletemperatureAbsolute value02 engineering and technology01 natural sciencesStandard deviationTemporal resolutionGeneral Earth and Planetary SciencesEnvironmental scienceNoise (video)time seriesImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing
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Fabric evolution and the related swelling behaviour of a sand/bentonite mixture upon hydro-chemo-mechanical loadings

2015

This experimental study investigates the swelling behaviour of an 80/20 sand/bentonite mixture and the associated fabric evolution under different hydro-chemo-mechanical loadings. Free and confined swelling tests are performed on specimens compacted to different dry densities and wetted with different pore fluids. Controlled suction confined swelling tests are performed to determine the suction–swelling pressure relationship for two different densities. An extensive microstructural characterisation is performed to relate the observed swelling behaviour to the evolution of the different pore networks during wetting. Based on the microstructural analysis, an expression is proposed to determi…

Laboratory testMaterials scienceSuction010504 meteorology & atmospheric sciencesExpansive clay0211 other engineering and technologiesMixing (process engineering)02 engineering and technologylaboratory testsFabric/structure of soil01 natural sciencesPartial saturationswellingmedicineEarth and Planetary Sciences (miscellaneous)Geotechnical engineeringComposite material021101 geological & geomatics engineering0105 earth and related environmental sciencessand/bentonite mixturesChemo mechanicalExpansive soilexpansive soilsGeotechnical Engineering and Engineering Geologyfabric evolutionBentonitefabric/structure of soilsWettingHCM loadingsSwellingmedicine.symptomDry densitypore water chemistry
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A method for soil moisture probes calibration and validation of satellite estimates

2017

Graphical abstract

Land surface processes010504 meteorology & atmospheric sciencesOtras Ciencias de la Tierra y relacionadas con el Medio AmbienteClinical Biochemistry0211 other engineering and technologiesContext (language use)Soil science02 engineering and technologySoil water content01 natural sciencesREMOTE SENSINGCiencias de la Tierra y relacionadas con el Medio Ambiente//purl.org/becyt/ford/1 [https]//purl.org/becyt/ford/1.5 [https]Pedotransfer functionCalibrationlcsh:ScienceWater contentComputingMethodologies_COMPUTERGRAPHICS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSOIL MOISTURE AND OCEAN SALINITY (SMOS)Oceanografía Hidrología Recursos HídricosSoil classificationMethod ArticleSOIL WATER CONTENTRemote sensingSoil typeMedical Laboratory TechnologySoil Moisture and Ocean Salinity (SMOS)LAND SURFACE PROCESSESSoil waterEnvironmental scienceSatellitelcsh:QCIENCIAS NATURALES Y EXACTASMethodsX
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The Evaluation Of The Influence Of Land Surface Temperature In Energy Balance Estimated By S-Sebi Model

2020

Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its application is varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of Land Surface Temperature (LST) can cause on ET estimates by S-SEBI model in Pampa Biome area. The results indicate that the daily evapotranspiration is higher when the pixel LST is lower, which also shows the influence of land use on the variability of ET. They also demonstrated the importance of LST's accuracy in the selection of the driest and wettest pixels in applying S-SEBI mo…

Land useLand surface temperatureBiome0211 other engineering and technologiesEnergy balanceClimate change04 agricultural and veterinary sciences02 engineering and technologyAtmospheric sciencesLatent heatEvapotranspiration040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceWater cycle021101 geological & geomatics engineering2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)
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Il laser scanner terrestre per il rilevamento e la modellazione di zone “instabili”: il versante sottostante il Tempio di Giunone (Agrigento)

2012

Lo studio descrive le operazioni del rilevamento laser scanner terrestre del versante sottostante il Tempio di Giunone nella Valle dei Templi di Agrigento. Il versante è caratterizzato dalla presenza di grossi blocchi rocciosi che si sono staccati dal basamento sommitale sul quale è costruito il Tempio; tale condizione evidenzia una situazione di generale “instabilità” che potrebbe nel tempo mettere a rischio le strutture archeologiche a causa di successivi distacchi. Il lavoro è stato principalmente finalizzato alla verifica dell’utilizzo delle tecniche laser scanning per la produzione di informazioni metriche utili per l’interpretazione geologica dei fenomeni in atto e per le analisi geot…

Laser scannerRilievo GeomaticaSettore ICAR/06 - Topografia E Cartografia
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Assessment of workflow feature selection on forest LAI prediction with sentinel-2A MSI, landsat 7 ETM+ and Landsat 8 OLI

2020

The European Space Agency (ESA)’s Sentinel-2A (S2A) mission is providing time series that allow the characterisation of dynamic vegetation, especially when combined with the National Aeronautics and Space Administration (NASA)/United States Geological Survey (USGS) Landsat 7 (L7) and Landsat 8 (L8) missions. Hybrid retrieval workflows combining non-parametric Machine Learning Regression Algorithms (MLRAs) and vegetation Radiative Transfer Models (RTMs) were proposed as fast and accurate methods to infer biophysical parameters such as Leaf Area Index (LAI) from these data streams. However, the exact design of optimal retrieval workflows is rarely discussed. In this study, the impact of…

Leaf area index (LAI)010504 meteorology & atmospheric sciencesComputer scienceScienceMultispectral image0211 other engineering and technologiesFeature selection02 engineering and technology01 natural sciencesCropLaboratory of Geo-information Science and Remote SensingMachine learningRadiative transferBosecologie en BosbeheerLaboratorium voor Geo-informatiekunde en Remote SensingForestLeaf area indexDiscrete anisotropic radiative transfer (DART) model021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingQInversion (meteorology)Vegetation15. Life on landPE&RCForest Ecology and Forest ManagementVegetation radiative transfer modelNoiseFeature (computer vision)Thematic MapperGeological surveyGeneral Earth and Planetary SciencesSentinel-2Remote Sensing
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Image boundaries detection: from thresholding to implicit curve evolution

2014

The development of high dimensional large-scale imaging devices increases the need of fast, robust and accurate image segmentation methods. Due to its intrinsic advantages such as the ability to extract complex boundaries, while handling topological changes automatically, the level set method (LSM) has been widely used in boundaries detection. Nevertheless, their computational complexity limits their use for real time systems. Furthermore, most of the LSMs share the limit of leading very often to a local minimum, while the effectiveness of many computer vision applications depends on the whole image boundaries. In this paper, using the image thresholding and the implicit curve evolution fra…

Level set methodComputational complexity theorybusiness.industry0211 other engineering and technologies02 engineering and technologyImage segmentationThresholdingImage (mathematics)Level set[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionLimit (mathematics)Artificial intelligenceGraphicsbusinessAlgorithmComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineeringMathematics
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Architecture-Driven Level Set Optimization: From Clustering to Sub-pixel Image Segmentation

2016

Thanks to their effectiveness, active contour models (ACMs) are of great interest for computer vision scientists. The level set methods (LSMs) refer to the class of geometric active contours. Comparing with the other ACMs, in addition to subpixel accuracy, it has the intrinsic ability to automatically handle topological changes. Nevertheless, the LSMs are computationally expensive. A solution for their time consumption problem can be hardware acceleration using some massively parallel devices such as graphics processing units (GPUs). But the question is: which accuracy can we reach while still maintaining an adequate algorithm to massively parallel architecture? In this paper, we attempt to…

Level set methodComputer science0211 other engineering and technologiesInitialization02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingLevel setgraphics processing units0202 electrical engineering electronic engineering information engineeringLevel set methodComputer visionElectrical and Electronic EngineeringCluster analysisMassively parallelimage segmentation021101 geological & geomatics engineeringActive contour modelhybrid CPU-GPU architecturebusiness.industryImage segmentationSubpixel renderingComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringHardware acceleration020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftwareInformation Systems
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Quantifying water stress effect on daily light use efficiency in Mediterranean ecosystems using satellite data

2016

16 pages, 2 figures, 6 tables, supplemental material https://dx.doi.org/10.1080/17538947.2016.1247301

Light use efficiency010504 meteorology & atmospheric sciencesMeteorologyVapour Pressure DeficitWater stress0211 other engineering and technologiesEddy covariancePrimary production02 engineering and technologyPhotochemical Reflectance Index01 natural sciencesMonteithComputer Science ApplicationsGeographyPhotosynthetically active radiationEvapotranspirationMediterranean ecosystemsGeneral Earth and Planetary SciencesSatelliteGPPPrecipitationSoftware021101 geological & geomatics engineering0105 earth and related environmental sciencesInternational Journal of Digital Earth
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