Search results for "Sensing"

showing 10 items of 1698 documents

Critical Analysis Of Remote Sensing Techniques To Monitor Coastal Water Quality-Related Parameters

2010

human activities marine pollution Mediterranean sea remote sensing bio-optical modelling
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Vineyard soil mapping from very high spatial resolution images in hillslope context: a contribution of terroir knowledge.

2014

The Burgundian vineyard hillslopes (Côte-d’Or, France) exhibit a high diversity of soils resulting from the combination of several natural and anthropogenic factors acting at various spatio-temporal scales. The soil types have major role in viticulture, since they partly determine wine-growing quality. However, soil undergoes important degradation caused by hydric erosion and vineyard management practices. To control this soil heritage for a sustained viticulture in Côte-d’Or, a better knowledge of soil is necessary. The objectives of this work is to characterise vineyard soils and to identify the factors governing their diversity using an interdisciplinary approach crossing geology, geomor…

human impactinterdisciplinarité[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryimpact hommetélédétectionérosion[ SHS.ENVIR ] Humanities and Social Sciences/Environmental studiesremote sensinginterdisciplinaritysol viticole[SHS.ENVIR] Humanities and Social Sciences/Environmental studiesmanagement practicesvineyard soil[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistorygeophysicgéophysique[SDE.ES]Environmental Sciences/Environmental and Societysoil mappingpratiques culturalesimagerie THRS[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesVHSR imagerycartographie[SDE.ES] Environmental Sciences/Environmental and Society[ SDE.ES ] Environmental Sciences/Environmental and Society
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Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks

2021

Farm-scale crop yield prediction is a natural development of sustainable agriculture, producing a rich amount of food without depleting and polluting environmental resources. Recent studies on crop yield production are limited to regional-scale predictions. The regional-scale crop yield predictions usually face challenges in capturing local yield variations based on farm management decisions and the condition of the field. For this research, we identified the need to create a large and reusable farm-scale crop yield production dataset, which could provide precise farm-scale ground-truth prediction targets. Therefore, we utilise multi-temporal data, such as Sentinel-2 satellite images, weath…

hybrid neural networkSVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910farm-scale crop yield prediction; deep learning; hybrid neural network; convolutional neural network; recurrent neural network; Sentinel-2 satellite remote sensing datadeep learningconvolutional neural networkSentinel-2 satellite remote sensing datarecurrent neural networkAgriculturefarm-scale crop yield predictionAgronomy and Crop ScienceAgronomy
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The classification of submerged vegetation using hyperspectral MIVIS data

2009

The aim of this research is to use hyperspectral MIVIS data to map the Posidonia oceanica prairies in a coastal lagoon (Stagnone di Marsala). It is approximately 12 km long and 2 km wide and is linked to the open sea by two shallow openings. This environment is characterised by prairies of phanerogams, the most common of which is Posidonia oceanica, an ideal habitat for numerous species of fish, molluscs and crustaceans. A knowledge of the distribution of submerged vegetation is useful to monitor the health of the lagoon. In order to classify the MIVIS imagery, the attenuation effects of the water column have been removed from the signal using Lyzenga’s technique. A comparison between class…

hyperspectral imagerSpectrometerbiologylcsh:QC801-809shallow watersubmerged vegetationHyperspectral imagingVegetationlcsh:QC851-999biology.organism_classificationwater column correctionWaves and shallow waterlcsh:Geophysics. Cosmic physicsGeophysicsWater columnhyperspectral imageryHabitatHomogeneousPosidonia oceanicaEnvironmental sciencelcsh:Meteorology. ClimatologyRemote sensingAnnals of Geophysics
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Structural studies on filamin domain interactions

2015

immunoglobulin-like domainrakennesmall-angle x-ray scatteringmechanosensingfilamiinitproteiinitliganditfilaminmutaatiotproteiinidomeenitröntgenkristallografiax-ray crystallographyinter-domain interactions
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Moving RTS/CTS to the frequency domain: an efficient contention scheme for 802.11ax networks

2019

In this paper, we propose a contention mechanism based on the execution of multiple contention rounds in the frequency domain (ReCHo), which is designed to offer high throughput performance and robustness with respect to imperfect carrier sensing. The main idea is using narrow tones as signalling messages for performing channel access contentions and allowing the Access Point (AP) to echo these signals, in order to extend the sensing capabilities to all the stations associated to the AP. In particular, we refer to the emerging IEEE 802.11ax standard, showing how our scheme can boost performance of random access with respect to the current version of IEEE 802.11ax OFDMA Back-Off (OBO), even …

imperfect sensingHidden node problemSettore ING-INF/03 - TelecomunicazioniOrthogonal frequency-division multiplexingComputer sciencebusiness.industryMechanism based020206 networking & telecommunications02 engineering and technologySignallingFrequency-domain signallingRobustness (computer science)020204 information systemsFrequency domainTelecommunications link0202 electrical engineering electronic engineering information engineeringfrequency-domain signalling; IEEE 802.11ax; imperfect sensing; random access contentionrandom access contentionbusinessIEEE 802.11axRandom accessComputer network
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'Good to Repeat': Making Random Access Near-Optimal with Repeated Contentions

2020

Recent advances on WLAN technology have been focused mostly on boosting network capacity by means of a more efficient and flexible physical layer. A new concept is required at MAC level to exploit fully the new capabilities of the PHY layer. In this article, we propose a contention mechanism based on Repeated Contentions (ReCo) in frequency domain. It provides a simple-to-configure, robust and short-term fair algorithm for the random contention component of the MAC protocol. The throughput efficiency of ReCo is not sensitive to the number of contending stations, so that ReCo does not require adaptive tuning of the access parameters for performance optimization. Efficiency and robustness is …

imperfect sensingbusiness.industryOrthogonal frequency-division multiplexingComputer scienceSettore ING-INF/03 - TelecomunicazioniApplied MathematicsComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPhysical layer020206 networking & telecommunicationsThroughput02 engineering and technologyIEEE 802.11ax; random access contention; frequency-domain signalling; imperfect sensingComputer Science ApplicationsPHYfrequency-domain signalling0202 electrical engineering electronic engineering information engineeringfrequency-domain signalingWirelessrandom access contentionSettore ICAR/19 - RestauroElectrical and Electronic EngineeringbusinessRandom accessIEEE 802.11axComputer network
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Daytime sensible heat flux estimation over heterogeneous surfaces using multitemporal land‐surface temperature observations

2016

Equations based on surface renewal (SR) analysis to estimate the sensible heat flux (H) require as input the mean ramp amplitude and period observed in the ramp‐like pattern of the air temperature measured at high frequency. A SR‐based method to estimate sensible heat flux (HSR‐LST) requiring only low‐frequency measurements of the air temperature, horizontal mean wind speed, and land‐surface temperature as input was derived and tested under unstable conditions over a heterogeneous canopy (olive grove). HSR‐LST assumes that the mean ramp amplitude can be inferred from the difference between land‐surface temperature and mean air temperature through a linear relationship and that the ramp freq…

in situ sensingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiatemperatureSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalithermal dataolive grovesurface renewalsensible heat fluxSettore ICAR/06 - Topografia E CartografiaWater Science and Technology
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A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution

2017

© 2017 by the authors.Water vapour (H2O) is the dominant species in volcanic gas plumes. Therefore,measurements of H2O fluxes could provide valuable constraints on subsurface degassing and magmatic processes. However, due to the large and variable concentration of this species in the background atmosphere, little attention has been devoted to monitoring the emission rates of this species from volcanoes. Instead, the focus has been placed on remote measurements of SO2, which is present in far lower abundances in plumes, and therefore provides poorer single flux proxies for overall degassing conditions. Here, we present a new technique for the measurement of H2O emissions at degassing volcano…

infrared camerasCarbon dioxideScienceQUV camerasUV cameraSulphur dioxideInfrared cameraRemote sensingPassive degassingWater vapourEarth and Planetary Sciences (all)
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Desafíos y oportunidades de Sentinel-2 en la monitorización de las aguas continentales

2023

En los ecosistemas de agua dulce, la escasez y la contaminación de este recurso está promoviendo que los organismos gubernamentales incluyan en sus agendas estrategias para mitigar esta situación a través de una gestión sostenible. La Directiva Marco del Agua establece entre sus requerimientos la monitorización del estado ecológico de las aguas continentales para determinar su calidad. Las imágenes satelitales ofrecen una visión sinóptica y continua a partir de la que es posible derivar métricas del estado ecológico. Esas métricas son un complemento a los tradicionales muestreos ya que se incrementa la cobertura espacial y la periodicidad en la monitorización. Sentinel-2, con su sensor Mult…

inland waterssupervised classificationsentinel-2UNESCO::FÍSICAoptical water typesremote sensingmachine learningtipos ópticos de aguasaprendizaje automáticoteledeteccióncalidad de las aguasaguas continentalesdisco de secchiclasificación supervisadacorrección atmosféricaUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIOconcentración de clorofilaUNESCO::GEOGRAFÍA
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