Search results for "Sistemazioni idraulico-forestali"

showing 10 items of 760 documents

Soil water content monitoring: a verification of thermal inertia approaches on low spatial, high temporal resolutions images

2013

Soil water content is directly connected with soil evaporation and plant transpiration processes; in particular, soil water content within the root zone, is readily available to evapotranspiration. Thus, in agricultural sciences, the assessment of the spatial distribution of soil water content could be of utmost importance in evaluating crop water requirement. In spite of limitations to applicability due to contingent cloud cover, water content of the upper part of the soil can be determined by applying the thermal inertia approach by coupling optical and thermal infrared images. The thermal inertia formulation, rigorously retrieved on bare soil, has been also verified on soils partially co…

Cloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSoil scienceVegetationSoil water contentSpatial distributionPhase differenceSoil thermal propertiesGeographyMODISEvapotranspirationSoil waterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliWater contentThermal inertiaSettore ICAR/06 - Topografia E CartografiaRemote sensingTranspirationRemote Sensing for Agriculture, Ecosystems, and Hydrology XV
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Critical analysis of the thermal inertia approach to map soil water content under sparse vegetation and changeable sky conditions

2012

The paper reports a critical analysis of the thermal inertia approach to map surface soil water content on bare and sparsely vegetated soils by means of remotely sensed data. The study area is an experimental area located in Barrax (Spain). Field data were acquired within the Barrax 2011 research project. AHS airborne images including VIS/NIR and TIR bands were acquired both day and night time by the INTA (Instituto Nacional de Tecnica Aeroespacial) between the 11 th and 13 rd of June 2011. Images cover a corn pivot surrounded by bare soil, where a set of in situ data have been collected previously and simultaneously to overpasses. To validate remotely sensed estimations, a preliminary prox…

Cloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaThermal inertia soil water content sparse vegetation cloudinessVegetationGeographySpectroradiometerSoil waterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliShortwave radiationTransectSurface waterWater contentSettore ICAR/06 - Topografia E CartografiaRemote sensingSPIE Proceedings
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A modified applicative criterion of the physical model concept for evaluating plot soil erosion predictions

2015

Abstract In this paper, the physical model concept by Nearing (1998. Catena 32: 15–22) was assessed. Soil loss data collected on plots of different  widths (2–8 m), lengths (11–44 m) and steepnesses (14.9–26.0%), equipped in south and central Italy, were used. Differences in width between plots of given length and steepness determined a lower data correlation and more deviation of the fitted regression line from the identity one. A coefficient of determination between measured, M , and predicted, P , soil losses of 0.77 was representative of the best-case prediction scenario, according to Nearing (1998). The relative differences, Rdiff  = ( P − M ) / ( P + M ), decreased in absolute value a…

Coefficient of determinationSoil loss dataAbsolute value (algebra)Plot measurementPlot (graphics)Soil erosion; Plot measurements; Soil loss data; Physical modelPhysical modelSoil lossLinear regressionStatisticsErosionRange (statistics)Soil erosionPlot measurementsSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEquivalence (measure theory)Earth-Surface ProcessesMathematics
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Prediction of soil texture distributions using VNIR-SWIR reflectance spectroscopy

2013

Abstract Reflectance spectroscopy provides an alternate method to non-destructively characterize key soil properties. Different approaches, including chemometrics techniques or specific absorption features, have been proposed to estimate soil properties from visible and near-infrared (VNIR, 400-1200 nm) and shortwave infrared (SWIR, 1200-2500 nm) reflectance domains. The main goal of this study was to test the performance of two distinct methods for soil texture estimation by VNIR-SWIR reflectance measurements: i) the Continuum Removal (CR) technique that was used to correlate specific spectral absorption features with clay, silt and sand content, and ii) the Partial Least-Squares Regressio…

Coefficient of determinationSoil testPartial Least Squares RegressionSoil textureReflectance spectroscopySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaMineralogySiltVNIRChemometricsContinuum RemovalSpectroradiometerSoil texturePartial least squares regressionGeneral Earth and Planetary SciencesEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliGeneral Environmental ScienceRemote sensing
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Approfondimenti e sviluppi sulla misura in campo e in laboratorio della conducibilità idraulica del suolo

2010

Conducibilità idraulica del suolo saturo e insaturo Anisotropia Infiltrazione.Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
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Elementi di Idrologia del Suolo

2008

Contenuto idrico del suolo, Potenziale dell'acqua nel suolo, Moto della acqua nel suolo

Contenuto idrico del suolo Potenziale dell'acqua nel suolo Moto dell'acqua nel suoloSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
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State and parameter update in a coupled energy/hydrologic balance model using ensemble Kalman filtering

2012

Summary The capability to accurately monitor and describe daily evapotranspiration (ET) in a cost effective manner is generally attributed to hydrological models. However, continuous solution of energy and water balance provides precise estimations only when a detailed knowledge of sub-surface characteristics is available. On the other hand, residual surface energy balance models, based on remote observation of land surface temperature, are characterised by sufficient accuracy, but their applicability is limited by the lack of high frequency and high resolution thermal data. A compromise between these two methodologies is represented by the use of data assimilation scheme to include sparse …

Continuous modellingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaKalman filterResidualHydrologic balanceOlive treesWater balanceData assimilationEvapotranspirationEnsemble Kalman filterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental scienceEnsemble Kalman filterSVAT modellingSurface energy fluxesSVAT modelling Surface energy fluxes Hydrologic balance Ensemble Kalman filterWater Science and TechnologyRemote sensingJournal of Hydrology
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Durum wheat yield uncertainty under different tillage management practices and climatic conditions

2019

Abstract In the field of conservative agriculture, no-till (NT) management has been receiving increasing interest, with 45 million ha of land under no-till management in 1999 to 155 million ha in 2014. Up until now, no-till has only been observed to perform better under rainfed conditions, especially in dry climates mainly because the reduced tillage system retains more soil moisture. However, the adoption of alternative agricultural practices (NT) can be improved only if uncertain and consequent assumption of risk is well known and accepted. For these reasons, the aim of this research is (i) to define durum wheat suitability under NT soil management in terms of yield success probability an…

Conventional tillageNo-tillDurum wheat yieldClimatic trendCrop yieldSoil ScienceConditional probability04 agricultural and veterinary sciencesSettore AGR/02 - Agronomia E Coltivazioni ErbaceeTillageSoil managementAgronomy040103 agronomy & agricultureSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0401 agriculture forestry and fisheriesAridity indexCropping systemArable landAgronomy and Crop ScienceEarth-Surface ProcessesMathematicsSoil and Tillage Research
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Dye-tracer technique for rill flows by velocity profile measurements

2020

Abstract Water flow on hillslope soil surface supplies energy which is required to detach soil particles, to transport and deposit sediments, therefore flow velocity is a key variable related to hillslope hydrodinamics of soil erosion processes. Among the different methods available for measuring velocity of shallow interrill and rill flow, the trace technique is widely used. Trace technique is applied by adding a material (salt, magnetic material, water isotope, floating object) and then measuring the speed of the material to travel a known distance from the injection point. When flow velocity is measured using a dye-tracing method, the mean velocity is calculated by multiplying the measur…

Correction factorDye method010504 meteorology & atmospheric sciencesWater flowFlow (psychology)Surface finish01 natural sciencesPhysics::GeophysicsPhysics::Fluid DynamicsFlow velocitySettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0105 earth and related environmental sciencesEarth-Surface Processesgeographygeography.geographical_feature_categorySediment04 agricultural and veterinary sciencesMechanicsPlumeRillFlumeFlow velocityRill flowSoil erosion040103 agronomy & agriculture0401 agriculture forestry and fisheriesInterrill flowGeologyCATENA
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Flume experiments for assessing the dye-tracing technique in rill flows

2021

Abstract Flow velocity controls hillslope soil erosion and is a key hydrodynamic variable involved in sediment transport and deposition processes. The dye-tracer technique is one of the most applied methods for measuring velocity of shallow interrill and rill flow. The technique is based on the injection of a tracer in a specific point and the measurement of its speed to travel the known distance from the injection point to a given channel section. The dye-tracer technique requires that the measured surface flow velocity has to be corrected to obtain the mean flow velocity using a correction factor which is generally empirically deduced. The technique has two sources of uncertainties: i) th…

Correction factorDye methodFlow (psychology)0207 environmental engineering02 engineering and technology01 natural sciences010309 opticssymbols.namesakeFlow velocity0103 physical sciencesFroude numberSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliElectrical and Electronic Engineering020701 environmental engineeringInstrumentationgeographygeography.geographical_feature_categoryDye tracingReynolds numberMechanicsComputer Science ApplicationsFlumeRillFlow conditionsFlow velocityModeling and SimulationRill flowSoil erosionsymbolsInterrill flowGeologyFlow Measurement and Instrumentation
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