Search results for " Remote Sensing"

showing 8 items of 128 documents

Flooding in the Digital Twin Earth: The Case Study of the Enza River Levee Breach in December 2017

2023

The accurate delineation of flood hazard maps is a key element of flood risk management policy. Flood inundation models are fundamental for reproducing the boundaries of flood-prone areas, but their calibration is limited to the information available on the areas affected by inundation during observed flood events (typically fragmentary photo, video or partial surveys). In recent years, Earth Observation data have supported flood monitoring and emergency response (e.g., the Copernicus Emergency Service) thanks to the proliferation of available satellite sensors, also at high spatial resolution. Under this umbrella, the study investigates a levee breach that occurred in December 2017 along t…

remote sensinginundationlevee breakriverGeography Planning and DevelopmentSentinel-1Digital Twin Earthrivers; inundation; remote sensing; Digital Twin Earth; Sentinel-1; Sentinel-2; levee breakSentinel-2Aquatic ScienceBiochemistrySettore ICAR/01 - IdraulicaWater Science and TechnologyWater
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IMPIEGO DEL CONTENUTO IDRICO DEL SUOLO E DEL DEFLUSSO SUPERFICIALE PER LA STIMA DELLA PERDITA DI SUOLO PARCELLARE A SCALA DI EVENTO

2016

Nel presente lavoro viene valutata la potenzialità di accoppiare la USLE con il contenuto d’acqua del suolo pre-evento o il deflusso stimato, per migliorare l’accuratezza della stima della perdita di suolo a scala di singolo evento erosivo. A tale scopo sono stati utilizzati due approcci per i quali la perdita di suolo e il fattore di erosività sono legati da una legge di potenza. Il primo è il modello USLE-MM con deflusso stimato da un modello afflussi deflussi, SCRRM, che importa dati di contenuto d’acqua. Il secondo approccio è quello del modello SM4E che utilizza i dati di contenuto d’acqua pre-evento per correggere il fattore di erosività della pioggia. I due modelli sono stati testati…

remote sensingsoil erosionmodelli idrologicideflusso parcellareSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalirunoffcontenuto idrico del suolosoil moistureperdita di suolo parcellaresoil erosion runoff soil moisture remote sensing
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Soil moisture retrieval using crop water stress indicators

2008

soil moisture remote sensing stress index
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Assessing the performance of different model-based techniques to estimate water content in the upper soil layer

2016

he knowledge of soil water content (SWC) of the upper soil layer is important for most hydrological processes occurring over vegetated areas and under dry climate. Because direct field measurements of SWC are difficult, the use of different type of sensors and model-based approaches have been proposed and extensively used during the last decade. The main objective of this work is to assess the performance of two models estimating SWC of the upper soil layer: the transient line heat source method and the physically based Hydrus-1D model. The models' performance is assessed using field measurements acquired through a Time Domain Reflectometer (TDR). The experiment was carried out on an olive …

soil water content TDR Hydrus-1D KD2pro Remote Sensing Thermal Inertia
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Regional Soil Moisture Retrieval Using Remotely Sensed Crop Water Stress Indicators

2011

soil water content remote sensing water stress indices
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Lidar detection of carbon dioxide in volcanic plumes

2015

Volcanic gases give information on magmatic processes. In particular, anomalous releases of carbon dioxide precede volcanic eruptions. Up to now, this gas has been measured in volcanic plumes with conventional measurements that imply the severe risks of local sampling and can last many hours. For these reasons and for the great advantages of laser sensing, the thorough development of volcanic lidar has been undertaken at the Diagnostics and Metrology Laboratory (UTAPRAD-DIM) of the Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA). In fact, lidar profiling allows one to scan remotely volcanic plumes in a fast and continuous way, and with high s…

volcanic phenomenaMeteorologygas detection;volcanic phenomena;laser remote sensing;differential absorption lidardifferential absorption lidar; gas detection; laser remote sensing; volcanic phenomena; Applied Mathematics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering; Electronic Optical and Magnetic Materials; Condensed Matter Physicsgas detectiondifferential absorption lidarlaw.inventionVolcanic GasesImpact craterlawlaser remote sensingeventElectrical and Electronic EngineeringRemote sensingevent.disaster_typeDye lasergeography.geographical_feature_categoryElectronic Optical and Magnetic MaterialComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter PhysicsLaserOptical parametric amplifierApplied MathematicGeographyLidarVolcanoTemporal resolutionSPIE Proceedings
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Volcanic Plume CO2 Flux Measurements at Mount Etna by Mobile Differential Absorption Lidar

2017

Volcanic eruptions are often preceded by precursory increases in the volcanic carbon dioxide (CO2) flux. Unfortunately, the traditional techniques used to measure volcanic CO2 require near-vent, in situ plume measurements that are potentially hazardous for operators and expose instruments to extreme conditions. To overcome these limitations, the project BRIDGE (BRIDging the gap between Gas Emissions and geophysical observations at active volcanoes) received funding from the European Research Council, with the objective to develop a new generation of volcanic gas sensing instruments, including a novel DIAL-Lidar (Differential Absorption Light Detection and Ranging) for remote (e.g., distal) …

volcanic plumes010504 meteorology & atmospheric sciencesFlux010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesVolcanic plumeVolcanic CO2 fluxImpact craterDifferential Absorption Lidar (DIAL);Remote sensing;Volcanic CO2 flux;Volcanic plumesGas compositionDifferential Absorption Lidar (DIAL)0105 earth and related environmental sciencesRemote sensinggeographygeography.geographical_feature_categoryvolcanic plumes; volcanic CO<sub>2</sub> flux; remote sensing; Differential Absorption Lidar (DIAL)lcsh:QE1-996.5ElevationRemote sensingPlumelcsh:GeologyLidarVolcanoVolcanic plume13. Climate actionGeneral Earth and Planetary SciencesEarth and Planetary Sciences (all)GeologyGeosciences; Volume 7; Issue 1; Pages: 9
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An automatic system for water quality assessment through MODIS L1B images

2008

water quality remote sensing
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