Search results for "Transpiration"

showing 10 items of 240 documents

Mapping Actual Evapotranspiration by Combining Landsat TM and NOAA-AVHRR Images: Application to the Barrax Area, Albacete, Spain

1998

Abstract A method that permits determination of actual evapotranspiration, ET, in heterogeneous areas has been proposed. It is based on the relation ET = ET m − B ( T s − T sm ), which combines meteorological, National Oceanic and Atmospheric Administration advanced very high resolution radiometer (NOAA-AVHRR), and Landsat thematic mapper (TM) data. Thus, the maximum evapotranspiration for each crop, ETm, is obtained from in situ measurements carried out in a meteorological station; the temperature difference between each pixel and the pixel that has the maximum evapotranspiration, Ts−Tsm, is calculated for each crop from NOAA-AVHRR data; and the crop distribution in the area is known throu…

Climatic dataPixelThematic MapperAdvanced very-high-resolution radiometerEvapotranspirationSoil ScienceEnvironmental scienceGeologyTemperature differenceComputers in Earth SciencesZea maysMultispectral ScannerRemote sensingRemote Sensing of Environment
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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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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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EVASPA (EVapotranspiration Assessment from SPAce) tool: an overview

2013

International audience; Evapotranspiration (ET) is a fundamental variable of the hydrological cycle and its estimation is required for irrigation management, water resources planning and environmental studies. Remote sensing provides spatially distributed cost-effective information for ET maps production at regional scale. We have developed EVASPA too for mapping ET from remote sensing data at spatial and temporal scales relevant to hydrological or agronomica studies. EVASPA includes several algorithms for estimating evapotranspiration and various equations for estimating the required input information (net radiation, ground heat flux, evaporative fraction…), which provides a way to assess …

Crau-Camargue.010504 meteorology & atmospheric sciencesBiodiversité et Ecologietélédétectionévapotranspirationcartographie - évapotranspiration;télédétection;landsat;MODIS02 engineering and technologysatellite landsat01 natural sciencesirrigationremote sensingEvapotranspirationtélédétection spatialeWater cycle020701 environmental engineeringTemporal scalesGeneral Environmental Science6. Clean waterVariable (computer science)Remote sensing (archaeology)francealgorithmebase de données spatio temporellelandsat0207 environmental engineering[SCCO.COMP]Cognitive science/Computer sciencecartographie - évapotranspirationcycle hydrologiquecamargueBiodiversity and Ecologyressource en eauIrrigation management0105 earth and related environmental sciencesRemote sensingEnvironmental and Societyrayonnement netEvapotranspiration mappingflux conductif de chaleur dans le solcrauComputer science[SDE.ES]Environmental Sciences/Environmental and SocietyWater resourcesMODIS13. Climate actionInformatique (Sciences cognitives)cartographieGeneral Earth and Planetary SciencesEnvironmental scienceéchelle spatio temporelleEnvironnement et Société[SDE.BE]Environmental Sciences/Biodiversity and EcologyScale (map)
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A simple model to estimate the daily value of the regional maximum evapotranspiration from satellite temperature and albedo images

1987

Abstract We have tried an adaptation of the radiation model proposed by FAO, applicable in any area, for the estimation of the regional maximum evapotranspiration, ET, from temperature and albedo images obtained from a satellite. This model is based on the relationships ETm = k cETo ETo = A + BR g + CR g Ta max where k c is the crop coefficient, ETo is the maximum evapotranspiration of the reference crop (green grass), Rg is the global radiation obtained from satellite albedo images, T a max is the maximum temperature of the air obtained from the near-midday satellite temperature and A, B and C are the empirical coefficients characteristic of each zone calculated for different intervals of …

Crop coefficientMeteorologyEvapotranspirationBrightness temperatureGeneral Earth and Planetary SciencesEnvironmental scienceValue (computer science)Relative humiditySatelliteAlbedoWind speedInternational Journal of Remote Sensing
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Determination of Evapotranspiration and Crop Coefficient of Cactus Pear (Opuntia ficus-indica Mill.) with an Energy Balance Technique

2013

A micrometeorological approach based on surface renewal technique was adopted to estimate evapotranspiration fluxes and crop coefficient data from an irrigated cactus pear (Opuntia ficus-indica Mill.) orchard under Mediterranean climatic conditions. High-frequency temperature readings were taken above the canopy top in order to get surface renewal sensible heat flux values (HSR). These values were compared against eddy covariance sensible heat fluxes (HEC) for calibration. Latent heat flux (or evapotranspiration, ET) was obtained as the residual of the energy balance equation using HSR. In field measurements of biophysical crop features, physiological characteristic and soil hydraulic compo…

Crop coefficientSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreePEARHorticultureirrigation management micrometeorology semi-arid climate surface renewal water use efficiencyEvapotranspirationOpuntia ficusCactusEnergy balanceEnvironmental scienceMillHorticulture
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Detecting crop irrigation status in orchard canopies with airborne and ASTER thermal imagery

2007

This work provides a description of the research conducted to assess if ASTER satellite data enable the detection of the water status in orchard tree crops. Summer and winter TERRA-ASTER images were acquired over a study area of Seville in southern Spain over a 6-year period. 1076 olive orchards were monitored in this area, obtaining field location, area, tree density, and irrigation status information. Surface temperature images were obtained using the TES method and 0.5 m resolution panchromatic ortho-rectified imagery collected over the entire area to obtain vegetation cover. A comparison study of the temperature difference between orchards under different irrigation schemes is presented…

CropHydrologyIrrigationAdvanced Spaceborne Thermal Emission and Reflection RadiometerEvapotranspirationWater stressEnvironmental scienceOrchardGroundwaterPanchromatic filmRemote sensing2007 IEEE International Geoscience and Remote Sensing Symposium
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Assessing Hydrus-2D to Simulate Soil Water Content (SWC) and Salt Accumulation Under an SDI System: Application to a Potato Crop in a Semi-Arid Area …

2015

In this paper the suitability of the HYDRUS-2D model to simulate volumetric soil water content in the root zone of a potato crop under subsurface drip irrigation (SDI) is initially assessed on the basis of a field study. Then, considering that the crop is moderately sensitive to soil salinity, the model is tested to predict the salt distribution around a buried emitter, when two different water qualities (i.e. electrical conductivity of 1.0 and 4.0 dS m-1) are used during the growing season (treatments T1 and T2). Finally, the soil volume in which salt accumulates is distinguished by the model for the two treatments, for which the respective yields are not significantly different. The resul…

CropHydrusSoil salinityAgronomySoil waterArid areaSoil ScienceEnvironmental scienceDrip irrigationAgronomy and Crop ScienceLeaching modelTranspirationIrrigation and Drainage
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E.O.-based estimation of transpiration and crop water requirements for vineyards: a case study in southern Italy

2014

An efficient use of water for irrigation is a challenging task. From an agronomical point of view, it requires establishing the optimal amount of water to be supplied, at the correct time, based on phenological phase and water stress spatial distribution. Indeed, the knowledge of the actual water stress is essential for agronomic decisions, vineyards need to be managed to maintain a moderate water stress, thus allowing to optimize berries quality and quantity. Methods for quickly quantifying where, when and in what extent, vines begin to experience water stress are beneficial. Traditional point based methodologies, such those based on Scholander pressure chamber, even if well established ar…

Current (stream)CanopyHydrologyLeaf water potential Canopy latent heat flux Scholander bomb Two source energy balance modelingIrrigationLatent heatEnergy balanceEnvironmental scienceSpatial variabilityVegetationLeaf water potential Canopy latent heat flux Scholander bomb Two source energy balance modeling.TranspirationSPIE Proceedings
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Development of a general model to estimate the instantaneous, daily, and daytime net radiation with satellite data on clear-sky days

2015

Net radiation is a key variable in computing evapotranspiration and is a driving force in many other physical and biological processes. Remote sensing techniques provide an unparalleled spatial and temporal coverage of land-surface attributes, and thus several studies have attempted to estimate net radiation by combining remote sensing observations with surface and atmospheric data. However, remote sensing provides instantaneous data, when many applications and models need information at other temporal scales. In this work, a new general methodology is proposed to estimate daily and daytime net radiation and to retrieve the diurnal cycle of net radiation. Four images were acquired on differ…

DaytimeMeteorologymedia_common.quotation_subjectSoil ScienceGeologyRemote sensingGeociencias multidisciplinariaCiencias de la Tierra y relacionadas con el Medio AmbienteLatitudeNet radiationDiurnal cycleRemote sensing (archaeology)SkyEvapotranspirationEnvironmental scienceSatelliteComputers in Earth SciencesTemporal scalesCIENCIAS NATURALES Y EXACTASModelRemote sensingmedia_commonRemote Sensing of Environment
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