Search results for "land surface emissivity"

showing 4 items of 4 documents

Automatic classification-based generation of thermal infrared land surface emissivity maps using AATSR data over Europe

2012

The remote sensing measurement of land surface temperature from satellites provides a monitoring of this magnitude on a continuous and regular basis, which is a critical factor in many research fields such as weather forecasting, detection of forest fires or climate change studies, for instance. The main problem of measuring temperature from space is the need to correct for the effects of the atmosphere and the surface emissivity. In this work an automatic procedure based on the Vegetation Cover Method, combined with the GLOBCOVER land surface type classification, is proposed. The algorithm combines this land cover classification with remote sensing information on the vegetation cover fract…

MeteorologyWeather forecastingSoil ScienceClimate changeMagnitude (mathematics)Land surface emissivityVegetation coverGeologyAATSRAATSRLand covercomputer.software_genreTemperature measurementAtmosphereGlobcoverEmissivityEnvironmental scienceComputers in Earth SciencesLENGUAJES Y SISTEMAS INFORMATICOScomputerLand surface temperatureRemote sensingRemote Sensing of Environment
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Satellite-derived land surface temperature: Current status and perspectives

2013

Abstract Land surface temperature (LST) is one of the key parameters in the physics of land surface processes from local through global scales. The importance of LST is being increasingly recognized and there is a strong interest in developing methodologies to measure LST from space. However, retrieving LST is still a challenging task since the LST retrieval problem is ill-posed. This paper reviews the current status of selected remote sensing algorithms for estimating LST from thermal infrared (TIR) data. A brief theoretical background of the subject is presented along with a survey of the algorithms employed for obtaining LST from space-based TIR measurements. The discussion focuses on TI…

RadiometerThermal infraredRetrievalLand surface temperatureMeteorologySoil ScienceLand surface emissivityGeologyCurrent (stream)Geostationary orbitSatelliteComputers in Earth SciencesThermal infraredLand surface temperatureRemote sensingRemote Sensing of Environment
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Review of thermal infrared applications and requirements for future high-resolution sensors

2016

High-resolution thermal infrared (TIR) remote sensing has a wide range of applications. In this paper, we describe the different applications and requirements identified in a literature review and during a consultation meeting with researcher experts in different fields. As a result, more than 30 applications were identified within three different fields: 1) land and solid Earth; 2) health and hazards; and 3) security and surveillance. A complete set of requirements (spatial, temporal, and radiometric resolution, algorithms used, and supporting data, among others) for each application is also provided. The results presented in this paper provide useful information to enhance the importance …

Thermal infrared010504 meteorology & atmospheric sciencesComputer scienceFuegosathigh resolution0211 other engineering and technologiesHigh resolutionland surface temperatureSettore ING-INF/02 - Campi Elettromagnetici02 engineering and technology01 natural sciencesSet (abstract data type)Fuegosat; high resolution; land surface emissivity; land surface temperature; thermal infraredland surface emissivitySystems engineeringGeneral Earth and Planetary Sciencesthermal infraredElectrical and Electronic EngineeringSolid earth021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Analysis of the performance of the TES algorithm over urban areas

2014

International audience; The temperature and emissivity separation (TES) algorithm is used to retrieve the land surface emissivity (LSE) and land surface temperature (LST) values from multispectral thermal infrared sensors. In this paper, we analyze the performance of this methodology over urban areas, which are characterized by a large number of different surface materials, a variability in the lowest layer of the atmospheric profiles, and a 3-D structure. These specificities induce errors in the LSE and LST retrieval, which should be quantified. With this aim, the efficiency of the TES algorithm over urban materials, the atmospheric correction, and the impact of the 3-D architecture of urb…

land surface temperature (LST)010504 meteorology & atmospheric sciencesMeteorologyMean squared errorMultispectral image0211 other engineering and technologies02 engineering and technologyAtmospheric model01 natural sciencestemperature and emissivity separation (TES)AtmosphereError budget[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing11. SustainabilityEmissivityRadiative transferurban.Electrical and Electronic Engineering021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingAtmospheric correctionRadianceGeneral Earth and Planetary SciencesEnvironmental scienceAlgorithmurban[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingland surface emissivity (LSE)
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