Search results for "Remote Sensing"

showing 10 items of 1262 documents

Estimation of the water table depth of the Calarasi district Island (Romania) at the Danube River using ASTER/DEM data

2014

The water table is the top level of ground water by definition. Therefore surface water is an exposed part of the water table. Airborne measurements, resistivimeters determinations or perforation analyses can be used to determine the water table depth. These methods require, approximately, taking a sample per hectare, which is a very expensive and time-consuming procedure. However, remote sensing constitutes an ideal alternative to determine water table depth, because unlike the existing methodologies, which are very expensive due to equipment and travel expenses, the proposed methodology is cheap and simple. The ASTER GDEM data is available at no charge to users via electronic download and…

HydrologyAtmospheric Science010504 meteorology & atmospheric sciencesbiologyWater tableApplied MathematicsPerforation (oil well)0211 other engineering and technologies02 engineering and technologybiology.organism_classification01 natural sciencesAltitudeGeographyRemote sensing (archaeology)Computers in Earth SciencesAster (genus)Scale (map)Surface waterGroundwater021101 geological & geomatics engineering0105 earth and related environmental sciencesGeneral Environmental ScienceEuropean Journal of Remote Sensing
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Crop and irrigation water management using high resolution remote sensing and agrohydrological models

2006

A combined agrohydrological and remote sensing approach, called SIMODIS (Simulation and Management of On‐Demand Irrigation Systems) (D’Urso, 2001), has been used in a Sicilian test area to simulate the operation of on‐demand irrigation system. In SIMODIS the spatial distribution of crop factor, Kc, is directly calculated from canopy variables r (albedo), LAI (Leaf Area Index) and hc (crop height) derived from satellite‐based canopy spectral reflectance. Coupling these canopy variables with a specific data set of soil properties, the SIMODIS procedure was setup to simulate, in a distributed way, the water balance and, therefore, the irrigation deliveries for a set of 136 grape fields. For th…

HydrologyCanopyWater balanceIrrigationAgriculturebusiness.industryCrop factorEnvironmental scienceSatelliteAlbedoLeaf area indexbusinessRemote sensing
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Estimation of Evapotranspiration by Hargreaves Formula and Remotely Sensed Data in Semi-arid Mediterranean Areas

1997

Abstract A methodology is proposed for estimating evapotranspiration by Hargreaves formula and image analysis of remotely sensed data. At first, for a large sicilian basin (Belice basin), theactualevapotranspiration values are estimated by the energy balance equation, spectral data of two Landsat TM images and ground agrometereological measurements. Then theseactualevapotranspiration estimates and thereferenceevapotranspiration values obtained by a slightly modified Hargreaves formula, which incorporates the outgoing short-wave radiation and an albedo coefficient equal to 0·23, are used for calculating suitable crop coefficients. Finally, the minimum area of each land-use map unit, obtained…

HydrologyCrop coefficientPixelComputer Science::Computer Vision and Pattern RecognitionEvapotranspirationEnergy balanceEnvironmental scienceAquatic ScienceStructural basinAlbedoAridMultispectral pattern recognitionRemote sensingJournal of Agricultural Engineering Research
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Assessing actual evapotranspiration via surface energy balance aiming to optimize water and energy consumption in large scale pressurized irrigation …

2017

Satellite imagery provides a dependable basis for computational models that aimed to determine actual evapotranspiration (ET) by surface energy balance. Satellite-based models enables quantifying ET over large areas for a wide range of applications, such as monitoring water distribution, managing irrigation and assessing irrigation systems’ performance. With the aim to evaluate the energy and water consumption of a large scale on-turn pressurized irrigation system in the district of Aguas Nuevas, Albacete, Spain, the satellite-based image-processing model SEBAL was used for calculating actual ET. The model has been applied to quantify instantaneous, daily, and seasonal actual ET over high- …

HydrologyIrrigationSEBALwater savingsurface energy balanceElectronic Optical and Magnetic MaterialSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaComputer Science Applications1707 Computer Vision and Pattern RecognitionEnergy consumptionCondensed Matter PhysicRemote sensingPeak waterirrigationApplied Mathematicenergy savingEvapotranspirationRange (statistics)Environmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSatelliteSatellite imageryactual evapotranspirationElectrical and Electronic EngineeringSettore ICAR/06 - Topografia E Cartografia
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Single-channel and two-channel methods for land surface temperature retrieval from DAIS data and its application to the Barrax site

2004

In this paper, a methodology using a single-channel and a two-channel method is presented to estimate the land surface temperature from the DAIS (Digital Airborne Imaging Spectrometer) thermal channels 74 (8.747 µm), 75 (9.648 µm), 76 (10.482 µm), 77 (11.266 µm), 78 (11.997 µm) and 79 (12.668 µm). The land surface temperature retrieved with both methods has been validated over the Barrax site (Albacete, Spain) in the framework of the DAISEX (Digital Airborne Imaging Spectrometer Experiment) field campaigns. Prior to the validation an analysis of the DAIS data quality has been performed in order to check the agreement between in situ data and the values extracted from the DAIS images supplie…

HydrologyLand surface temperatureData qualityInstrumentationImaging spectrometerCalibrationGeneral Earth and Planetary SciencesEnvironmental scienceDaisRemote sensingCommunication channelInternational Journal of Remote Sensing
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Detecting crop water status in mature olive orchards using vegetation spectral measurements.

2014

Full spectral measurements (350–2500 nm) at tree canopy and leaf levels and the corresponding leaf water potentials (LWP) were acquired in an olive grove of Sicily, at different hours of the day, during summer season 2011. The main objective of the work was to assess, on the basis of the experimental data-set, two different approaches to detect crop water status in terms of LWP. Specifically, using existing families of Vegetation Indices (VIs) and applying Partial Least Squares Regression (PLSR) were optimised and tested. The results indicated that a satisfactory estimation of LWP at tree canopy and leaf levels can be obtained using vegetation indices based on the near infrared–shortwave in…

HydrologyLeaf Water PotentialTree canopySpectral indexMean squared errorMoistureSoil ScienceCrop Water StatuVegetationCropSpectroradiometerControl and Systems EngineeringPartial least squares regressionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLeaf water potential; Olive tree; Field SpectroscopyAgronomy and Crop ScienceOlive treeSpectroscopyField SpectroscopyFood ScienceRemote sensingMathematics
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Estimation of Mediterranean crops evapotranspiration by means of remote-sensing based models

2009

Abstract. Actual evapotranspiration from typical Mediterranean crops has been assessed in a Sicilian study area by using Surface Energy Balance and Agro-Hydrological models. Both modelling approaches require remotely sensed data to estimate evapotranspiration fluxes in a spatially distributed way. The first approach exploits visible (VIS), near-infrared (NIR) and thermal (TIR) observations to solve the surface energy balance equation. To this end two different schemes have been tested: the two-sources TSEB model, where soil and vegetation components of the surface energy balance are treated separately, and the widely used one-source SEBAL model, where soil and vegetation are considered as a…

HydrologyMediterranean climateEstimationSEBALEvapotranspirationEvapotranspiration remote sensing SEBAL TSEB SWAPSWAPremote sensingSEBALRemote sensing (archaeology)EvapotranspirationEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliTSEBRemote sensing
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A diachronic analysis of estuarine turbidity due to a flood following an extreme rainfall event

2011

During floods following rainfall events characterized by long return period, rivers bring to their mouths the higher concentration of sediments. This paper deals with a qualitative assessment of coastal water and turbidity load in estuarine waters as a consequence of an intense rainfall event occurred on the 16t h and 17 th September 2003 in the eastern part of Sicily. Although empirical relationships to estimate turbidity using remote sensing can be found in literature, however models parameters need to be calibrated through in situ measures acquired via intensive field campaigns. The algorithm used within this research was calibrated using field data acquired during three periods in 2008 …

HydrologyReturn periodgeographygeography.geographical_feature_categorySettore ICAR/03 - Ingegneria Sanitaria-AmbientaleFlood mythSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDrainage basinEstuaryRemote Sensing Water qualityLand coverPlumeRiver mouthTurbiditySPIE Proceedings
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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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Optimization of image parameters using a hyperspectral library application to soil identification and moisture estimation

2009

The growing number of sensors raises questions about the image parameters required for the application, soil identification and moisture estimation. Hyperspectral images are also known to contain highly redundant information. Hence not all the spectral bands are needed for the satisfactory classification of the soil types. Hence, the work was aimed at obtaining these optimal spectral bands for identifying the soil types and to use these spectral bands to estimate the moisture content of the soils using the method proposed by Whiting et.al.

Identification (information)MoistureSoil waterEnvironmental scienceHyperspectral imagingFeature selectionSoil classificationSpectral bandsWater contentPhysics::GeophysicsRemote sensing2009 IEEE International Geoscience and Remote Sensing Symposium
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