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The Normalization of surface anisotropy effects present in SEVIRI reflectances by using the MODIS BRDF method / Simon Richard Proud in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)
[article]
Titre : The Normalization of surface anisotropy effects present in SEVIRI reflectances by using the MODIS BRDF method Type de document : Article/Communication Auteurs : Simon Richard Proud, Auteur ; Qian Zhang, Auteur ; Crystal Schaaf, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 6026 - 6039 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] anisotropie
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] image Aqua-MODIS
[Termes IGN] image MSG-SEVIRI
[Termes IGN] image Terra-MODIS
[Termes IGN] rayonnement proche infrarougeRésumé : (Auteur) A modified version of the MODerate resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) algorithm is presented for use in the angular normalization of surface reflectance data gathered by the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) aboard the geostationary Meteosat Second Generation (MSG) satellites. We present early and provisional daily nadir BRDF-adjusted reflectance (NBAR) data in the visible and near-infrared MSG channels. These utilize the high temporal resolution of MSG to produce BRDF retrievals with a greatly reduced acquisition period than the comparable MODIS products while, at the same time, removing many of the angular perturbations present within the original MSG data. The NBAR data are validated against reflectance data from the MODIS instrument and in situ data gathered at a field location in Africa throughout 2008. It is found that the MSG retrievals are stable and are of high-quality across much of the SEVIRI disk while maintaining a higher temporal resolution than the MODIS BRDF products. However, a number of circumstances are discovered whereby the BRDF model is unable to function correctly with the SEVIRI observations-primarily because of an insufficient spread of angular data due to the fixed sensor location or localized cloud contamination. Numéro de notice : A2014-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2294602 En ligne : https://doi.org/10.1109/TGRS.2013.2294602 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74059
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 1 (October 2014) . - pp 6026 - 6039[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014101A RAB Revue Centre de documentation En réserve L003 Disponible A new technique using infrared satellite measurements to improve the accuracy of the CALIPSO cloud-aerosol discrimination method / A. Naeger in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)
[article]
Titre : A new technique using infrared satellite measurements to improve the accuracy of the CALIPSO cloud-aerosol discrimination method Type de document : Article/Communication Auteurs : A. Naeger, Auteur ; S. Christopher, Auteur ; R. Ferrare, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 642 - 653 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] aérosol
[Termes IGN] analyse discriminante
[Termes IGN] image Aqua-MODIS
[Termes IGN] image infrarouge
[Termes IGN] image MSG-SEVIRI
[Termes IGN] image Terra-MODIS
[Termes IGN] nuage
[Termes IGN] Sahara, désert du
[Termes IGN] température de luminance
[Termes IGN] tempête de poussièreRésumé : (Auteur) In this paper, we develop a new technique called the brightness temperature difference cloud and aerosol discrimination algorithm (BTD CAD) that uses thermal infrared satellite measurements to improve the accuracy of the cloud-aerosol lidar and infrared pathfinder satellite observations (CALIPSO) CAD algorithm. It has been shown that the CALIPSO CAD algorithm can misclassify dense dust as cloud because the CALIPSO two-wavelength backscatter lidar operates at 532 and 1064 nm where very similar scattering properties are known to exist between dense dust and cloud. Therefore, we use the 11 and 12 um thermal infrared channels from both the moderate resolution imaging spectroradiometer (MODIS) and the spinning enhanced visible and infrared imager (SEVIRI), which are very sensitive to dust concentration, in order to reduce the frequency of the dust misclassifications encountered by the CALIPSO CAD algorithm. For the two Saharan dust events presented in this paper, both the MODIS and SEVIRI BTD CAD techniques performed well but the MODIS BTD CAD correctly reclassified more CALIPSO CAD misclassifications as dust. After applying both techniques to all the daytime CALIPSO transects over North Africa during June 2007, the MODIS and SEVIRI BTD CAD increased the total number of detected aerosol layers by approximately 10% and 4%, respectively. Even though the Version 3 (V3) CAD algorithm is significantly more accurate in deciphering between dense dust and clouds than the Version 2 algorithm, the V3 still showed some dust misclassifications among the case studies. Thus, the BTD CAD technique can help reduce the frequency of dust misclassifications encountered by the V3 CAD algorithm. Numéro de notice : A2013-020 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2196437 En ligne : https://doi.org/10.1109/TGRS.2012.2196437 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32158
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 1 Tome 2 (January 2013) . - pp 642 - 653[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2013011B RAB Revue Centre de documentation En réserve L003 Disponible PM10 remote sensing from geostationary SEVIRI and polar-orbiting MODIS sensors over the complex terrain of the European Alpine region / E. Emili in Remote sensing of environment, vol 114 n° 11 (15/11/2010)
[article]
Titre : PM10 remote sensing from geostationary SEVIRI and polar-orbiting MODIS sensors over the complex terrain of the European Alpine region Type de document : Article/Communication Auteurs : E. Emili, Auteur ; C. Popp, Auteur ; M. Petitta, Auteur ; M. Riffler, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 2485 - 2499 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aérosol
[Termes IGN] Alpes
[Termes IGN] humidité de l'air
[Termes IGN] image MSG-SEVIRI
[Termes IGN] image spatiale
[Termes IGN] image Terra-MODIS
[Termes IGN] particule
[Termes IGN] qualité de l'airRésumé : (Auteur) The subject of this study is to investigate the capability of spaceborne remote sensing data to predict ground concentrations of PM10 over the European Alpine region using satellite derived Aerosol Optical Depth (AOD) from the geostationary Spinning Enhanced Visible and InfraRed Imager (SEVIRI) and the polar-orbiting MODerate resolution Imaging Spectroradiometer (MODIS). The spatial and temporal resolutions of these aerosol products (10 km and 2 measurements per day for MODIS, ~ 25 km and observation intervals of 15 min for SEVIRI) permit an evaluation of PM estimation from space at different spatial and temporal scales. Different empirical linear relationships between coincident AOD and PM10 observations are evaluated at 13 ground-based PM measurement sites, with the assumption that aerosols are vertically homogeneously distributed below the planetary Boundary Layer Height (BLH). The BLH and Relative Humidity (RH) variability are assessed, as well as their impact on the parameterization. The BLH has a strong influence on the correlation of daily and hourly time series, whilst RH effects are less clear and smaller in magnitude. Despite its lower spatial resolution and AOD accuracy, SEVIRI shows higher correlations than MODIS (rSEV~ 0.7, rMOD~ 0.6) with regard to daily averaged PM10. Advantages from MODIS arise only at hourly time scales in mountainous locations but lower correlations were found for both sensors at this time scale (r ~0.45). Moreover, the fraction of days in 2008 with at least one satellite observation was 27% for SEVIRI and 17% for MODIS. These results suggest that the frequency of observations plays an important role in PM monitoring, while higher spatial resolution does not generally improve the PM estimation. Ground-based Sun Photometer (SP) measurements are used to validate the satellite-based AOD in the study region and to discuss the impact of aerosols' micro-physical properties in the empirical models. A lower error limit of 30 to 60% in the PM10 assessment from space is estimated in the study area as a result of AOD uncertainties, variability of aerosols properties and the heterogeneity of ground measurement sites. It is concluded that SEVIRI has a similar capacity to map PM as sensors on board polar-orbiting platforms, with the advantage of a higher number of observations. However, the accuracy represents a serious limitation to the applicability of satellites for ground PM mapping, especially in mountainous areas. Numéro de notice : A2010-401 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2010.05.024 En ligne : https://doi.org/10.1016/j.rse.2010.05.024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30594
in Remote sensing of environment > vol 114 n° 11 (15/11/2010) . - pp 2485 - 2499[article]Quantitative monitoring of a Saharan dust event with SEVIRI on Meteosat-8 / P. Zhang in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)
[article]
Titre : Quantitative monitoring of a Saharan dust event with SEVIRI on Meteosat-8 Type de document : Article/Communication Auteurs : P. Zhang, Auteur ; J. Li, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 2181 - 2186 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Afrique du nord
[Termes IGN] géopositionnement
[Termes IGN] image MSG-SEVIRI
[Termes IGN] Sahara, désert du
[Termes IGN] surveillance météorologique
[Termes IGN] tempête de poussièreRésumé : (Auteur) An algorithm has been developed to quantitatively retrieve dust properties (identification, optical thickness, particle radius, and dust density) from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard Meteosat-8, the first of the Meteosat Second Generation (MSG). Two SEVIRI thermal infrared (IR) window channels (10.8 um and 12 um) were used to monitor the dust event of 3 March 2004 over the Sahara in northern Africa. The identification and evolution of dust are well depicted by SEVIRI data with high spatial resolution (approximately 3 km) and high temporal resolution (15 minutes). This demonstrates the capability of a geostationary advanced imager to monitor dust events over land, their migration and the corresponding air quality. Copyright Taylor & Francis Numéro de notice : A2007-289 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600975337 En ligne : https://doi.org/10.1080/01431160600975337 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28652
in International Journal of Remote Sensing IJRS > vol 28 n° 10 (May 2007) . - pp 2181 - 2186[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Land surface emissivity retrieval from combined mid-infrared and thermal infrared data of MSG-SEVIRI / G.M. Jiang in Remote sensing of environment, vol 105 n° 4 (30/12/2006)
[article]
Titre : Land surface emissivity retrieval from combined mid-infrared and thermal infrared data of MSG-SEVIRI Type de document : Article/Communication Auteurs : G.M. Jiang, Auteur ; Z.L. Li, Auteur ; F. Nerry, Auteur Année de publication : 2006 Article en page(s) : pp 326 - 340 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] correction atmosphérique
[Termes IGN] couvert végétal
[Termes IGN] emissivité
[Termes IGN] image MSG-SEVIRI
[Termes IGN] rayonnement infrarouge moyen
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] sol nu
[Termes IGN] surface du sol
[Termes IGN] température de luminanceRésumé : (Auteur) This work addressed the retrieval of Land Surface Emissivity (LSE) from combined mid-infrared and thermal infrared data of Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) onboard the geostationary satelliteMeteosat Second Generation (MSG). To correct for the atmospheric effects in satellite measurements, a new atmospheric correction scheme was developed for both Middle Infra-Red (MIR) and Thermal Infra-Red (TIR) channels. For the MIR channel, because it is less sensitive to the change of water vapor content, the clear-sky and time-nearest European Centre for Median-range Weather Forecast (ECMWF) atmospheric data were used for the images where no atmospheric data are available. For TIR channels, a modified model of Diurnal Temperature Cycle (DTC) used by Göttsche and Olesen and Schädlich et al. was adopted. The separation of Land Surface Temperature (LST) and LSE is based on the concept of the Temperature Independent Spectral Indices (TISI) constructed with one channel in MIR and one channel in TIR. The results of two different combinations (combination of channels 4 and 9 and of channels 4 and 10) and two successive days at six specific locations over North Africa show that the retrievals are consistent. The range of emissivity in MSG-SEVIRI channel 4 goes from 0.5 for bare areas to 0.96 for densely vegetated areas, whereas the emissivities in MSG-SEVIRI channels 9 and 10 are usually from 0.9 to 0.95 for bare areas and from 0.95 to 1.0 for vegetated areas. For densely vegetated areas, the emissivities in MSG-SEVIRI channel 9 are larger than the ones in channel 10, whereas the opposite is observed over bare areas. The RMS differences between two combinations over the whole studied region are 0.017 for emissivity in channel 4, 0.008 for emissivity in channel 9 and 0.007 for emissivity in channel 10. Numéro de notice : A2006-563 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.07.015 En ligne : https://doi.org/10.1016/j.rse.2006.07.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28286
in Remote sensing of environment > vol 105 n° 4 (30/12/2006) . - pp 326 - 340[article]Emissivity maps to retrieve land-surface temperature from MSG/SEVIRI / L.F. Peres in IEEE Transactions on geoscience and remote sensing, vol 43 n° 8 (August 2005)Permalink