Search results for "Aerial"

showing 10 items of 156 documents

Rapid laccolith intrusion driven by explosive volcanic eruption

2016

Magmatic intrusions and volcanic eruptions are intimately related phenomena. Shallow magma intrusion builds subsurface reservoirs that are drained by volcanic eruptions. Thus, the long-held view is that intrusions must precede and feed eruptions. Here we show that explosive eruptions can also cause magma intrusion. We provide an account of a rapidly emplaced laccolith during the 2011 rhyolite eruption of Cordón Caulle, Chile. Remote sensing indicates that an intrusion began after eruption onset and caused severe (>200 m) uplift over 1 month. Digital terrain models resolve a laccolith-shaped body ∼0.8 km3. Deformation and conduit flow models indicate laccolith depths of only ∼20–200 m and ov…

Volcanic hazardsMultidisciplinaryVulcanian eruptionExplosive eruption010504 meteorology & atmospheric sciencesScienceQSubaerial eruptionGeneral Physics and AstronomyGeneral Chemistry010502 geochemistry & geophysics01 natural sciencesPeléan eruptionArticleGeneral Biochemistry Genetics and Molecular BiologyLaccolithDense-rock equivalentPhreatomagmatic eruptionPetrologyGeology0105 earth and related environmental sciencesNature Communications
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Wind Shear On-Line Identification for Unmanned Aerial Systems

2014

An algorithm to perform the on line identification of the wind shear components suitable for the UAS characteristics has been implemented. The mathematical model of aircraft and wind shear in the augmented state space has been built without any restrictive assumption on the dynamic of wind shear. Due to the severe accelerations on the aircraft induced by the strong velocity variation typical of wind shear, the wind shear effects have been modeled as external forces and moments applied on the aircraft. The identification problem addressed in this work has been solved by using the Filter error method approach. An Extended Kalman Filter has been developed to propagate state. It has been tuned …

Wind shear System Identification Unmanned Aerial SystemsEngineeringbusiness.industryCovariance matrixState vectorSettore ING-IND/03 - Meccanica Del VoloFilter (signal processing)Parameter identification problemExtended Kalman filterControl theoryRobustness (computer science)Wind shearState spacePharmacology (medical)business
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A new odorant-binding protein XlaeOBP identified in the aerial olfactory system of Xenopus laevis and Xenopus tropicalis

2004

National audience

XENOPUS TROPICALIS[CHIM.OTHE] Chemical Sciences/OtherXENOPUS LAEVISAERIAL OLFACTORY SYSTEM[CHIM.OTHE]Chemical Sciences/OtherComputingMilieux_MISCELLANEOUSODORANT-BINDING PROTEIN
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Comparison of Bathymetric estimation using different satellite images in coastal sea waters

2009

Bathymetric estimation can be obtained from multispectral satellite images for shallow waters. The method is based on the rotation of a pair of spectral bands. One of the resulting images is depth-dependent. Therefore several pixels corresponding to different depths are required to numerically evaluate the linear relation between the pixel values and the real depth for a training area. The aim of this study is to compare, for one bathymetric estimation method and one mesotrophic site, the results of depth estimation with a large panel of satellite and aerial images: CASI, QUICKBIRD, CHRIS PROBA, ETM, HYPERION and MeRIS. For each image the pair of spectral bands chosen to compute the bathyme…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing010504 meteorology & atmospheric sciencesPixelAerial survey[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMultispectral image0211 other engineering and technologies02 engineering and technologySpectral bands01 natural sciencesMultispectral pattern recognition[SPI]Engineering Sciences [physics][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingComputer Science::Computer Vision and Pattern RecognitionGeneral Earth and Planetary SciencesBathymetry14. Life underwaterQuantization (image processing)Image resolution[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingGeologyComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Weed detection by aerial imaging: impact of soil, crop and weed spectral mixing

2015

International audience; This study aims to evaluate spectral information potential of images captured with a UAV, for site specific weed management. The image acquisition chain was modeled in order to compute the digital values of image pixels, according to the field conditions and objects lying on the ground surface projected in the pixels. The object spectra are mixed in the same pixel to estimate the impact of the spatial resolution of the image. The classification potential into crop, weed and soil classes was studied usinf simulations based on the present multispectral sensor characteristics and according to different mixing rates.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agricultureAcquisition chainmultispectral[ SDV.SA.STA ] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agricultureUnmanned aerial vehicleWeed classification
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Sub-optimal waypoints, UAV path planning and mosaicing application

2016

International audience; Create a complete system of video surveillance using camera mounted on a robot like UAV to maintain optimized vast area coverage and reconstruct an image by using mosaicing techniques. This paper demonstrated the efficiency of using one UAV to cover vast area using optimized positions.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Cover (telecommunications)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION010103 numerical & computational mathematics01 natural sciencesUnmanned aerial vehicles[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionMotion planning0101 mathematics[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Genetic Algorithmbusiness.industry[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics010101 applied mathematicsCoverage path planningArea coverageRobotArtificial intelligencebusiness
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Mapping intra-plot topsoil diversity of Burgundy vineyards (Aloxe- Corton, France) from very high spatial resolution (VHSR) images

2012

International audience; In this work, we present a method based on very high spatial resolution (VHSR) aerial images acquired in the visible domain and that map soil surface diversity at the hillslope scale with a spatial resolution of a few centimeters. This method combines aerial VHSR image classification with local soil sampling. Principal component analysis (PCA) and non-supervised classification was performed on image characteristics to define soil surface characteristic classes (SSC). Then soil surface mapping was combined with soil surface descriptions and soil profiles to define soil types by physical and chemical characteristics.

[SDE] Environmental Sciences[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[SDE.ES]Environmental Sciences/Environmental and Societysoil surface characteristics[ SDE ] Environmental SciencesvineyardsSoil mapping[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SDE]Environmental Sciencesunmanned aerial vehicle[SDE.ES] Environmental Sciences/Environmental and Societyvery high spatial resolution[ SDE.ES ] Environmental Sciences/Environmental and Society
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Mapping soil and substratum at a very high spatial resolution in the hillslope of Couchey (France)

2012

International audience; In this work, we present a method based on very high spatial resolution (VHSR) aerial images acquired in the visible domain and that map soil surface diversity at the hillslope scale with a spatial resolution of a few centimeters. This method combines aerial VHSR image classification with local soil sampling. Principal component analysis (PCA) and non-supervised classification was performed on image characteristics to define soil surface characteristic classes (SSC). Then soil surface mapping was combined with soil surface descriptions and soil profiles to define soil types by physical and chemical characteristics. As soil results from parent material alteration, ide…

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ENVIR ] Humanities and Social Sciences/Environmental studies[SDE.ES]Environmental Sciences/Environmental and Societysoil surface characteristicsvineyardsgeological mapSoil mapping[SHS.ENVIR] Humanities and Social Sciences/Environmental studies[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesunmanned aerial vehicle[SDE.ES] Environmental Sciences/Environmental and Societyvery high spatial resolution[ SDE.ES ] Environmental Sciences/Environmental and Society
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CRITICAL ANALYSIS OF SHORELINE LOCALIZATION METHODS BY MEANS OF AERIAL OR SATELLITE IMAGERY ON MEDITERRANEAN SANDY BEACHES

2013

Shoreline localization is fundamental for designing and planning shore protection works as well as for managing and monitoring various anthropic activities along the coast. The sea-land boundary, however, changes continually with time because of waves and tides, which makes the shoreline detection complex and dubious and the boundary line finally assumed can only be conventional. In the last few decades the use of several geomorphologic indicators has been proposed, such as the berm above sea level, the groundwater exit point, historic high tide levels, etc., but the aim has not been achieved yet. Among the methods used, analysis of aerial and satellite imagery is common, in particular when…

aerial imagery.run-uptidesandy beacheShoreline localization
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Multidisciplinary investigations at the Kamarina archaeological site (southern Sicily, Italy)

2017

Multidisciplinary geophysical investigations have been carried out in a small area of the Greek archaeological site of Kamarina, in southern Sicily, in order to support some hypotheses, derived from historical and archaeological bases. After an aerial photographic and thermographic survey, a small area near to the Agora has been considered for magnetometric and GPR investigations. Obtained results show a good correlation and allow to highlight some structures oriented in agreement with the uncovered remains. The use of integrated geophysical techniques allowed a more robust interpretation of the detected anomalies in order to better address the choices for new excavations.

aerial photogrammetrymagnetometrygeoradarthermometryarchaelogySettore GEO/11 - Geofisica ApplicataKamarina
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