Search results for " Thermal Inertia"

showing 5 items of 5 documents

Using Optical and Thermal Data for Tracking Snowmelt Processes in Alpine Area

2019

Alpine catchments represent a fundamental reservoir of fresh water at midlatitude. Remote sensing offers the opportunity to estimate snow properties in the optical, thermal and microwave domains. In particular, the possibility to estimate snow density from remote sensing is relevant and still represents a great challenge for the remote sensing scientific community. Since changes of snow density and liquid water content occur continuously in the snowpack, spatial and temporal patterns of optical and thermal data can give information about snowmelt processes. The main goal of this study is to evaluate if snow thermal inertia can be an indicator of snowmelt processes and to evaluate its relati…

010504 meteorology & atmospheric sciencesFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTREGEO/04 - GEOGRAFIA FISICA E GEOMORFOLOGIA0207 environmental engineeringGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA02 engineering and technologySnowpackTracking (particle physics)Snow01 natural sciencesGEO/11 - GEOFISICA APPLICATAGEO/10 - GEOFISICA DELLA TERRA SOLIDARemote sensing (archaeology)Liquid water contentMiddle latitudesSnowmeltThermalEnvironmental science020701 environmental engineeringRemote Sensing Snow Thermal Inertia Snowmelt Snow densitySettore ICAR/06 - Topografia E Cartografia0105 earth and related environmental sciencesRemote sensing
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Assessing the performance of thermal inertia and Hydrus models to estimate surface soil water content

2017

The knowledge of soil water content (SWC) dynamics in the upper soil layer is important for several hydrological processes. Due to the difficulty of assessing the spatial and temporal SWC dynamics in the field, some model-based approaches have been proposed during the last decade. The main objective of this work was to assess the performance of two approaches to estimate SWC in the upper soil layer under field conditions: the physically-based thermal inertia and the Hydrus model. Their validity was firstly assessed under controlled laboratory conditions. Thermal inertia was firstly validated in laboratory conditions using the transient line heat source (TLHS) method. Then, it was applied in…

Hydrus010504 meteorology & atmospheric sciencesMean squared error0208 environmental biotechnologyHydrus numerical modelSoil science02 engineering and technologyHydrus numerical model; Soil thermal inertia; Soil water content; Sparse vegetation; Applied MathematicsThermal diffusivitySoil water content01 natural scienceslcsh:TechnologySparse vegetationlcsh:ChemistrySoil thermal propertiesSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliGeneral Materials ScienceTime domainSoil thermal inertiaReflectometryInstrumentationlcsh:QH301-705.50105 earth and related environmental sciencesRemote sensingFluid Flow and Transfer Processeslcsh:TProcess Chemistry and TechnologyApplied MathematicsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGeneral EngineeringRanginglcsh:QC1-999020801 environmental engineeringComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Soil waterEnvironmental sciencelcsh:Engineering (General). Civil engineering (General)lcsh:Physicssoil water content; soil thermal inertia; Hydrus numerical model; sparse vegetationSettore ICAR/06 - Topografia E Cartografia
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Surface soil water content estimation based on thermal inertia and Bayesian smoothing

2014

Soil water content plays a critical role in agro-hydrology since it regulates the rainfall partition between surface runoff and infiltration and, the energy partition between sensible and latent heat fluxes. Current thermal inertia models characterize the spatial and temporal variability of water content by assuming a sinusoidal behavior of the land surface temperature between subsequent acquisitions. Such behavior implicitly supposes clear sky during the whole interval between the thermal acquisitions; but, since this assumption is not necessarily verified even if sky is clear at the exact epoch of acquisition, , the accuracy of the model may be questioned due to spatial and temporal varia…

Soil Water Content Bayesian Smoothing Thermal Inertia MODIS SEVIRI.Meteorologymedia_common.quotation_subjectPolar orbitBayesian SmoothingLatent heatSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliElectrical and Electronic EngineeringWater contentImage resolutionRemote sensingmedia_commonSettore ING-INF/03 - TelecomunicazioniElectronic Optical and Magnetic MaterialSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaThermal InertiaComputer Science Applications1707 Computer Vision and Pattern RecognitionSEVIRICondensed Matter PhysicsApplied MathematicGeographyMODISSoil Water ContentSkyGeostationary orbitSurface runoffShortwaveSettore ICAR/06 - Topografia E CartografiaSPIE Proceedings
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Thermal inertia modeling for soil surface water content estimation: A laboratory experiment

2012

We are proposing a new method for estimating soil surface water content from thermal inertia distributions retrieved from visible–near infrared (VISNIR)and thermal infrared (TIR) images. A drying experiment was conducted on three fi ne-textured soils while acquiring multispectral VIS-NIR and TIR images. Simultaneous measurements of soil water content and thermal inertia were conducted by the thermogravimetric method and the heat pulse technique, respectively. Direct measurements were used to test the thermal inertia approach proposed by Murray and Verhoef that requires only knowledge of soil porosity and can be easily inverted to derive soil water content from thermal inertia. For the three…

TIR thermal infraredVIS-NIR visible–near infraredThermal inertiaSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSoil ScienceEnvironmental scienceSoil scienceGeotechnical engineeringSoil surfaceLaboratory experimentATI apparent thermal inertiaWater content
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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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