Search results for " Remote"

showing 10 items of 164 documents

A Distributed approach to the Remote Control and Programming Improvement.

2006

Distributed approach Remote Control ImprovementSettore ING-INF/04 - Automatica
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Water erosion prediction by stochastic and empirical models in the Mediterranean: A case study in Northern Sicily (Italy)

2012

The present thesis aimed to explore the methodological advantages as well as limitations in applying different modelling approaches to predict water soil erosion in Mediterranean environments. The research was accomplished in the central northern part of Sicily (Italy), considering this region to be representative of Mediterranean environmental conditions. In this region soil degradation problems, due to water erosion are becoming more and more serious. Consequently, defining models being able to predict erosion susceptibility and to discriminate environmental factors causing erosion is important to protect soil resources. The prediction of the spatial distribution of soil erosion processes…

EROSION550NORTHERN SICILYSettore GEO/04 - Geografia Fisica E GeomorfologiaSTOCHASTICSoil erosion Geographic information systems Remote sensing RUSLE USPED Human impact road Artificial channels DEM Erosion scenarioBodenerosion Geoinformationssystem Fernerkundung Anthropogener Einfluss Regressionsanalyse Bodenschutz Mittelmeerraum
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Batch Methods for Resolution Enhancement of TIR Image Sequences

2015

Thermal infrared (TIR) time series are exploited by many methods based on Earth observation (EO), for such applications as agriculture, forest management, and meteorology. However, due to physical limitations, data acquired by a single sensor are often unsatisfactory in terms of spatial or temporal resolution. This issue can be tackled by using remotely sensed data acquired by multiple sensors with complementary features. When nonreal-time functioning or at least near real-time functioning is admitted, the measurements can be profitably fed to a sequential Bayesian algorithm, which allows to account for the correlation embedded in the successive acquisitions. In this work, we focus on appli…

Earth observationAtmospheric ScienceBayesian smoothing methodComputer scienceBayesian probabilityInterval (mathematics)Thermal imagecomputer.software_genreremote sensingComputers in Earth ScienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionimage enhancementComputers in Earth SciencesImage resolutionThermal imagesbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBayesian smoothing methodsinterpolationTemporal resolutioncloud detectionBatch processingBayesian smoothing methods; cloud detection; image enhancement; interpolation; remote sensing; Thermal images; Computers in Earth Sciences; Atmospheric ScienceData miningArtificial intelligencebusinessFocus (optics)computerSmoothingSettore ICAR/06 - Topografia E Cartografia
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Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

2017

Remote sensing data analysis is knowing an unprecedented upswing fostered by the activities of the public and private sectors of geospatial and environmental data analysis. Modern imaging sensors offer the necessary spatial and spectral information to tackle a wide range problems through Earth Observation, such as land cover and use updating, urban dynamics, or vegetation and crop monitoring. In the upcoming years even richer information will be available: more sophisticated hyperspectral sensors with high spectral resolution, multispectral sensors with sub-metric spatial detail or drones that can be deployed in very short time lapses. Besides such opportunities, these new and wealthy infor…

Earth observationGeospatial analysis010504 meteorology & atmospheric sciencesContextual image classificationbusiness.industryComputer scienceMultispectral image0211 other engineering and technologiesHyperspectral imaging02 engineering and technologycomputer.software_genreMachine learningPE&RC01 natural sciencesSupport vector machineKernel methodKernel (image processing)Laboratory of Geo-information Science and Remote SensingLife ScienceLaboratorium voor Geo-informatiekunde en Remote SensingArtificial intelligencebusinesscomputer021101 geological & geomatics engineering0105 earth and related environmental sciences
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Soil Water Content Assessment: Critical Issues Concerning the Operational Application of the Triangle Method

2015

Knowledge of soil water content plays a key role in water management efforts to improve irrigation efficiency. Among the indirect estimation methods of soil water content via Earth Observation data is the triangle method, used to analyze optical and thermal features because these are primarily controlled by water content within the near-surface evaporation layer and root zone in bare and vegetated soils. Although the soil-vegetation-atmosphere transfer theory describes the ongoing processes, theoretical models reveal limits for operational use. When applying simplified empirical formulations, meteorological forcing could be replaced with alternative variables when the above-canopy temperatu…

Earth observationIrrigationAtomic and Molecular Physics and OpticComputer scienceEvaporationAirborne remote sensing; Soil moisture; Triangle method; Electrical and Electronic Engineering; Atomic and Molecular Physics and Optics; Analytical Chemistry; BiochemistrySoil sciencelcsh:Chemical technologyBiochemistryVineyardArticleAnalytical Chemistrytriangle methodStatisticsThermallcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationWater contentSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaAerodynamicsAtomic and Molecular Physics and Opticsairborne remote sensingSoil watersoil moistureSettore ICAR/06 - Topografia E CartografiaSensors
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Surface soil humidity retrieval using remote sensing techniques: a triangle method validation

2010

Soil humidity plays a key-role in hydrological and agricultural processes. In the rainfall-runoff processes the knowledge of its spatial distribution is fundamental to accurately model these phenomena. Furthermore in agronomy and agricultural sciences, assessing the water content of the root zone is required in order to optimize the plant productivity and to improve the irrigation systems management. Despite the importance of this variable the in situ measurements techniques based on Time Domain Reflectometry (TDR) or on the standard thermo-gravimetric methods, are neither cost-effective nor representative of its spatial and temporal variability. Indirect estimations via Earth Observation (…

Earth observationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaLongwavesoil moisture airborne remote sensing triangle methodHumiditySpatial distributiontriangle methodairborne remote sensingSoil waterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental sciencesoil moistureImage resolutionShortwaveWater contentRemote sensingRemote Sensing for Agriculture, Ecosystems, and Hydrology XII
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Challenges and Opportunities in Lidar Remote Sensing

2021

Earth system scienceLidar remote sensingLidarRemote sensing (archaeology)Environmental scienceTerrainRemote sensingFrontiers in Remote Sensing
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Monitoring Subaquatic Vegetation Using Sentinel-2 Imagery in Gallocanta Lake (Aragón, Spain)

2022

Remote sensing allows the study of aquatic vegetation cover in shallow lakes from the different spectral responses of the water as the vegetation grows from the bottom toward the surface. In the case of Gallocanta Lake, its seasonality and shallow depth (less than 2 m) allow us to appreciate the variations in the aquatic vegetation with the apparent color. Six common vegetation indices were tested, and the one with the best response was the so-called NDI45, which uses the normalized ratio between the far red (705 nm) and red (665 nm) bands. Our aims are to show the variations in the surface area covered by vegetation at the bottom of the lagoon, its growth and disappearance when drying occu…

Ecologia d'aigua dolçasaline wetland; remote sensing; aquatic vegetation; vegetation index; Sentinel-2Earth
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Use of Sentinel-2 Satellite for Spatially Variable Rate Fertiliser Management in a Sicilian Vineyard

2022

Satellites can be used for producing maps of within-field crop and soil parameters and, consequentially, spatially variable rate crop input application maps. The plant vegetative vigour index (i.e., Normalised Difference Vegetation Index—NDVI) and the leaf water content index (i.e., Normalised Difference Water Index—NDWI) maps were used to study—through both time and space—the phenological phases of two plots, with Syrah and Nero d’Avola grapevine varieties, in a Sicilian vineyard farm, located in Naro (Agrigento, Sicily, Italy). The aim of this work is to produce spatially variable rate nitrogen fertiliser maps to be applied in the two vineyard plots under stu…

Environmental effects of industries and plantsRenewable Energy Sustainability and the Environmenttemporal variabilityGeography Planning and DevelopmentSettore AGR/09 - Meccanica AgrariaTJ807-830Management Monitoring Policy and LawTD194-195Renewable energy sourcesEnvironmental sciencesremote sensingprecision viticulture; remote sensing; temporal variability; spatial variability; nitrogen spatially variable rate fertilisation; sustainable vineyard managementprecision viticulturespatial variabilityGE1-350sustainable vineyard managementnitrogen spatially variable rate fertilisationSustainability; Volume 14; Issue 3; Pages: 1688
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Etna International Training School of Geochemistry, 2018. Science meets practice.

2018

Mount Etna, located in eastern Sicily, is the largest stratovolcano in Europe and one of the most intensely degassing volcanoes of the world (Allard et al., 1991; Gerlach, 1991). In particular, previous estimates highlighted that Mt Etna emits about 1.6 % of global H2O fluxes from arc volcanism (Aiuppa et al., 2008) and 10 % of global average volcanic emission of CO2 and SO2 (D’Alessandro et al., 1997; Caltabiano et al., 2004). Furthermore, Gauthier and Le Cloarec (1998) underscored that Mt. Etna is an important source of volcanic particles, having a mass flux of particle passively released from the volcano during non-eruptive period estimated between 7 to 23 tons/day (Martin et al., 2008; …

Etna training school direct sampling remote sensingSettore GEO/08 - Geochimica E Vulcanologia
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