0000000000222056

AUTHOR

V. Hidalgo

showing 12 related works from this author

Temporal analysis of normalized difference vegetation index (NDVI) and land surface temperature (LST) parameters to detect changes in the Iberian lan…

2011

In past decades, the Iberian Peninsula has been shown to have suffered vegetation changes such as desertification and reforestation. Normalized difference vegetation index (NDVI) and land surface temperature (LST) parameters, estimated from data acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensor onboard the National Oceanic and Atmospheric Administration (NOAA) satellite series, are particularly adapted to assess these changes. This work presents an application of the yearly land-cover dynamics (YLCD) methodology to analyse the behaviour of the vegetation, which consists of a combined multitemporal study of the NDVI and LST parameters on a yearly basis. Throughout the 1…

geographygeography.geographical_feature_categoryAdvanced very-high-resolution radiometermedia_common.quotation_subjectEnhanced vegetation indexLand coverNormalized Difference Vegetation IndexDesertificationPeninsulaClimatologymedicineGeneral Earth and Planetary SciencesEnvironmental scienceSatellitemedicine.symptomVegetation (pathology)media_commonInternational Journal of Remote Sensing
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Using NASA'S Long Term Data Record version 3 for the monitoring of land surface vegetation

2011

Numerous datasets have been made available for the observation of our planet from space. The aim of this work is the observation of changes in vegetation, through the use of a recent remote sensing dataset, NASA's Long Term Data Record (LTDR). Several authors have pointed out that vegetation monitoring benefits of the simultaneous use of Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST). Therefore, this work presents the procedure developed to monitor vegetation with the LTDR dataset, using both NDVI and LST parameters. This procedure includes data preprocessing (estimation of NDVI and LST, orbital drift correction, atmospherically contaminated data reconstruc…

Land surface temperatureRemote sensing (archaeology)Data reconstructionLong term dataEnvironmental scienceVegetationData pre-processingTime seriesNormalized Difference Vegetation IndexRemote sensing2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)
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Surface temperature in the context of FLuorescence EXplorer (FLEX) mission

2007

It has been demonstrated that the spectrum of fluorescence emission is dependent on leaf temperature, thus there is a need for thermal information in order to interpret fluorescence signals. Temperature is also related to transpiration and stomata closure, which affects CO2 uptake and fluorescence. Therefore temperature measurements help to confirm the trends observed in fluorescence measurements. While fluorescence is immediately and uniquely related to photosynthesis, temperature provides additional information about plant status and instantaneous energy/water fluxes between plants and the atmosphere. The objective of this paper is to demonstrate the role of surface temperature in the con…

BrightnessPlanetary boundary layerMeasuring instrumentEmissivityRadiometryContext (language use)Atmospheric temperatureTemperature measurementRemote sensing2007 IEEE International Geoscience and Remote Sensing Symposium
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Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview

2009

Abstract. The AHS (Airborne Hyperspectral Scanner) instrument has 80 spectral bands covering the visible and near infrared (VNIR), short wave infrared (SWIR), mid infrared (MIR) and thermal infrared (TIR) spectral range. The instrument is operated by Instituto Nacional de Técnica Aerospacial (INTA), and it has been involved in several field campaigns since 2004. This paper presents an overview of the work performed with the AHS thermal imagery provided in the framework of the SPARC and SEN2FLEX campaigns, carried out respectively in 2004 and 2005 over an agricultural area in Spain. The data collected in both campaigns allowed for the first time the development and testing of algorithms for …

ScannerMeteorology010504 meteorology & atmospheric sciencestélédétection[SDV]Life Sciences [q-bio]0211 other engineering and technologiesevapotranspirationREMOTE SENSING;SURFACE TEMPERATURE;INFRAREDévapotranspirationespagne02 engineering and technology01 natural scienceslcsh:Technologylcsh:TD1-1066REMOTE SENSINGEvapotranspirationtempératureEmissivityWageningen Environmental ResearchCGI - Earth Observationlcsh:Environmental technology. Sanitary engineeringlcsh:Environmental sciencesRemote sensing021101 geological & geomatics engineering0105 earth and related environmental scienceslcsh:GE1-350algorithmCGI - Aardobservatielcsh:TNear-infrared spectroscopylcsh:Geography. Anthropology. RecreationHyperspectral imagingINFRAREDCL - Urban and Regional DevelopmentSpectral bandspays méditerranéenVNIRbilan radiatiflcsh:GRemote sensing (archaeology)[SDE]Environmental SciencesEnvironmental scienceSURFACE TEMPERATUREeuropeland-surface temperatureCL - Stadsregionale Ontwikkeling
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Thermal remote sensing in the framework of the SEN2FLEX project: field measurements, airborne data and applications

2008

A description of thermal radiometric field measurements carried out in the framework of the European project SENtinel-2 and Fluorescence Experiment (SEN2FLEX) is presented. The field campaign was developed in the region of Barrax (Spain) during June and July 2005. The purpose of the thermal measurements was to retrieve biogeophysical parameters such as land surface emissivity (LSE) and temperature (LST) to validate airborne-based methodologies and to characterize different surfaces. Thermal measurements were carried out using two multiband field radiometers and several broadband field radiometers, pointing at different targets. High-resolution images acquired with the Airborne Hyperspectral…

RadiometerMean squared errorMeteorologyHyperspectral imagingContext (language use)WRSADLIB-ART-2687Root mean squareEvapotranspirationEmissivityGeneral Earth and Planetary SciencesEnvironmental scienceRadiometryRemote sensingInternational Journal of Remote Sensing
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Mass and energy flux estimates at different spatial resolutions in a heterogeneous area through a distributed energy-water balance model and remote s…

2012

Computed ET with the FEST-EWB model at high spatial resolution 10 m showed for the three days of analysis a mean relative error of 9.4% compared to AHS data, whereas for land surface temperature comparison a relative error of 1.6% was found. Then, LSTs from AHS and FEST-EWB were aggregated at decreasing spatial resolutions 50, 150, 300, 400, 500, 600, 750, and 1000 m, showing that the thermodynamic variability tends to disappear with a lower number of classes in the histograms and with a decrease of the coefficient of variation CV and of standard deviation values. At each scale, a similar behaviour was reported between each pair of images, with the values of standard deviation starting, res…

Scale (ratio)PixelApproximation errorHistogramCoefficient of variationGeneral Earth and Planetary SciencesEnergy fluxEnvironmental scienceImage resolutionStandard deviationRemote sensing
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Estimation of the spatially distributed surface energy budget for AgriSAR 2006, part II : Integration of remote sensing and hydrologic modeling

2011

In most hydrologic modeling studies, the hypothesis is made that an improvement in the modeled soil moisture leads to an improvement in the modeled surface energy balance. The objective of this paper is to assess whether this hypothesis is true. The study was performed over the winter wheat fields in the AgriSAR 2006 domain. Remotely sensed soil moisture values and latent heat fluxes were used, in combination with in situ observations. First, the land cover and saturated subsurface flow parameters were estimated using the in situ observations. A spatially distributed model simulation was then performed, for which the Brooks-Corey parameters were derived from a soil texture map, and of which…

Atmospheric ScienceMoistureSoil textureHydrological modellingMETIS-303906Soil scienceLand coverLatent heatEvapotranspirationSoil horizonEnvironmental scienceComputers in Earth SciencesWater contentRemote sensing
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Mapping sub-pixel burnt percentage using AVHRR data. Application to the Alcalaten area in Spain

2010

The purpose of this work is to estimate at sub-pixel scale the percentage of burnt land using the Advanced Very High Resolution Radiometer AVHRR through a simple approach. This methodology is based on multi-temporal spectral mixture analysis MSMA, which uses a normalized difference vegetation index NDVI and a land-surface temperature LST image as input bands. The area of study is located in the Alcalaten region in Castellon Spain, a typical semi-arid Mediterranean region. The results have shown an extension of approximately 55 km2 affected by fire, which is only 5% lower than the statistic reports provided by the Environmental Ministry of Spain. Finally, we include a map of the area showing…

Mediterranean climateRadiometerPixelMean squared errorAdvanced very-high-resolution radiometerGeneral Earth and Planetary SciencesEnvironmental scienceHyperspectral imagingScale (map)CartographyNormalized Difference Vegetation IndexRemote sensingInternational Journal of Remote Sensing
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Fluorescence estimation in the framework of the CEFLES2 campaign

2011

International audience; Chlorophyll fluorescence (ChF) is a relevant indicator of the actual plant physiological status. In this article different methods to measure ChF from remote sensing are evaluated: The Fraunhofer Line Discrimination (FLD), theFluorescence Radiative Method (FRM) and the improved Fraunhofer Line Discrimination (iFLD). The three methods have been applied to data acquired in the framework of the CarboEurope, FLEX and Sentinel-2 (CEFLES2) campaign in Les Landes, France in September 2007. Comparing with in situ measurements, the results indicate that the methods that provide the best results are the FLD and the iFLD with root mean square errors (RMSEs) of 0.4 and 0.5 mW m-…

Root mean square010504 meteorology & atmospheric sciences[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]0211 other engineering and technologiesRadiative transfer[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyGeneral Earth and Planetary SciencesEnvironmental science02 engineering and technology01 natural sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingInternational Journal of Remote Sensing
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Land surface temperature representativeness in a heterogeneous area through a distributed energy-water balance model and remote sensing data

2010

Land surface temperature is the link between soil-vegetation-atmosphere fluxes and soil water content through the energy water balance. This paper analyses the representativeness of land surface temperature (LST) for a distributed hydrological water balance model (FEST-EWB) using LST from AHS (airborne hyperspectral scanner), with a spatial resolution between 2–4 m, LST from MODIS, with a spatial resolution of 1000 m, and thermal infrared radiometric ground measurements that are compared with the representative equilibrium temperature that closes the energy balance equation in the distributed hydrological model. <br><br> Diurnal and nocturnal images are analyzed due to the non s…

lcsh:GE1-350010504 meteorology & atmospheric scienceslcsh:Tlcsh:Geography. Anthropology. Recreation0207 environmental engineeringEnergy balance02 engineering and technology15. Life on landlcsh:Technology01 natural scienceslcsh:TD1-1066Spatial heterogeneityWater balanceHydrology (agriculture)lcsh:GSoil waterEnvironmental sciencelcsh:Environmental technology. Sanitary engineering020701 environmental engineeringScale (map)Spatial analysisWater contentlcsh:Environmental sciences0105 earth and related environmental sciencesRemote sensingHydrology and Earth System Sciences
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Estimation of the spatially distributed surface energy budget for AgriSAR 2006, part I : remote sensing model intercomparison

2011

A number of energy balance models of variable complexity that use remotely sensed boundary conditions for producing spatially distributed maps of surface fluxes have been proposed. Validation typically involves comparing model output to flux tower observations at a handful of sites, and hence there is no way of evaluating the reliability of model output for the remaining pixels comprising a scene. To assess the uncertainty in flux estimation over a remote sensing scene requires one to conduct pixel-by-pixel comparisons of the output. The objective of this paper is to assess whether the simplifications made in a simple model lead to erroneous predictions or deviations from a more complex mod…

Synthetic aperture radarAtmospheric SciencePixelMeteorologyPlanetary boundary layerMETIS-303907Energy balanceAtmospheric modelData modelingremote sensingHeat fluxenergy balance modelRadiative transferEnvironmental scienceComputers in Earth SciencesAgrisarRemote sensingIEEE Journal of selected topics in applied earth observations and remote sensing
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Acute psychosocial stress effects on memory performance: Relevance of age and sex

2019

In recent decades, there has been a growing interest in investigating the effects of chronic and acute stress on cognitive processes, especially memory performance. However, research focusing on acute stress effects has reported contradictory findings, probably due to the many factors that can moderate this relationship. In addition to factors related to the individual, such as sex and age, other factors, such as the type of memory assessed, can play a critical role in the direction of these effects. This review summarizes the main findings of our research group and others about the effects of acute psychosocial stress on memory performance in young and older people of both sexes, taking in…

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