0000000000934550

AUTHOR

F. Sospedra

showing 4 related works from this author

Night-time cloud cover estimation

2004

In this paper a method for cloud cover assessment at night-time (when only thermal infrared data are available) is presented. It is based on the analysis of long wave radiation transfer processes in partially cloudy areas, which led to the formulation of a simplified model of the surface–cloud–atmosphere system. The model was implemented in an operational and iterative algorithm to solve the radiative equations. The algorithm was validated using ground data collected at four meteorological stations in Argentina during November 1997 and May–June 1998, which were compared to cloudiness derived from National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer therma…

AtmosphereMeteorologyOktaAdvanced very-high-resolution radiometerIterative methodCloud coverRadiative transferGeneral Earth and Planetary SciencesRadiometryEnvironmental scienceStandard deviationInternational Journal of Remote Sensing
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Analysis of thermal infrared data from the Digital Airborne Imaging Spectrometer

2001

Thermal infrared data of the Digital Airborne Imaging Spectrometer (DAIS), whose channels 74-79 are in the 8-13 w m waveband region, were analysed with the aim of recovering land surface temperature (LST). DAIS images were acquired over an experimental site where field and laboratory emissivity measurements were performed, and these were used to recover the LST from the six DAIS thermal channels. Atmospheric correction of DAIS data was calculated by means of a nearby radiosounding and a radiative transfer model. DAIS derived LSTs were compared with ground measurements of LST made coincidentally for a few test fields, the central DAIS channels yielding temperatures up to 10°C higher than gro…

business.industryAtmospheric correctionImaging spectrometerDaisOpticsAtmospheric radiative transfer codesEmissivityRadianceCalibrationGeneral Earth and Planetary SciencesEnvironmental scienceRadiometrybusinessRemote sensingInternational Journal of Remote Sensing
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Temperature and emissivity separation from calibrated data of the Digital Airborne Imaging Spectrometer

2001

Abstract The Digital Airborne Imaging Spectrometer (DAIS), with six thermal infrared channels in the 8–14 μm window, was flown over the Barrax test site, Spain, in the framework of the DAIS Experiment in the summer of 1998. Atmospheric correction of the DAIS thermal channels was performed by means of local radiosonde measurements and a radiative transfer model. Ground measurements of temperature and emissivity for six selected spots (two bare soils, two water bodies, and two vegetated fields) were conducted with the objective of providing calibration and validation targets. Three targets were used for a linear ground calibration of the DAIS thermal channels. With the ground-calibrated image…

Imaging spectrometerAtmospheric correctionSoil ScienceGeologyDaislaw.inventionAtmospheric radiative transfer codeslawThermalRadiosondeCalibrationEmissivityEnvironmental scienceComputers in Earth SciencesRemote sensingRemote Sensing of Environment
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Thermal–infrared emissivities of natural surfaces: improvements on the experimental set-up and new measurements

2003

Ground measurements of thermal infrared emissivities of terrestrial surfaces are required to derive accurate temperatures from radiometric measurements, and also to apply and validate emissivity models using satellite sensor observations. This paper focuses on the demanding aspects that are involved in the field measurement of emissivity using the box method and a hand-held radiometer. Measuring emissivities in field conditions can be hampered by external factors such as wind and solar irradiance. This can increase the time spent on the field campaign but, most importantly, it can cause no-sense fluctuations between consecutive observations. Here we propose original developments for the exp…

Set (abstract data type)RadiometerThermal infraredField (physics)InstrumentationEmissivityGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteSolar irradianceRemote sensingInternational Journal of Remote Sensing
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