Relevant bibliographies by topics / MSG-SEVIRI

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'MSG-SEVIRI'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "MSG-SEVIRI"

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Surer, S., J. Parajka, and Z. Akyurek. "Validation of the operational MSG-SEVIRI snow cover product over Austria." Hydrology and Earth System Sciences 18, no. 2 (February 24, 2014): 763–74. http://dx.doi.org/10.5194/hess-18-763-2014.

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Abstract. The objective of this study is to evaluate the mapping accuracy of the MSG-SEVIRI operational snow cover product over Austria. The SEVIRI instrument is aboard the geostationary Meteosat Second Generation (MSG) satellite. The snow cover product provides 32 images per day, with a relatively low spatial resolution of 5 km over Austria. The mapping accuracy is examined at 178 stations with daily snow depth observations and compared with the daily MODIS-combined (Terra + Aqua) snow cover product for the period April 2008–June 2012. The results show that the 15 min temporal sampling allows a significant reduction of clouds in the snow cover product. The mean annual cloud coverage is less than 30% in Austria, as compared to 52% for the combined MODIS product. The mapping accuracy for cloud-free days is 89% as compared to 94% for MODIS. The largest mapping errors are found in regions with large topographical variability. The errors are noticeably larger at stations with elevations that differ greatly from those of the mean MSG-SEVIRI pixel elevations. The median of mapping accuracy for stations with absolute elevation difference less than 50 m and more than 500 m is 98.9 and 78.2%, respectively. A comparison between the MSG-SEVIRI and MODIS products indicates an 83% overall agreement. The largest disagreements are found in Alpine valleys and flatland areas in the spring and winter months, respectively.
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Reuter, M., and S. Pfeifer. "Moments from space captured by MSG SEVIRI." International Journal of Remote Sensing 32, no. 14 (June 30, 2011): 4131–40. http://dx.doi.org/10.1080/01431161.2011.566288.

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Surer, S., J. Parajka, and Z. Akyurek. "Validation of the operational MSG-SEVIRI snow cover product over Austria." Hydrology and Earth System Sciences Discussions 10, no. 10 (October 7, 2013): 12153–85. http://dx.doi.org/10.5194/hessd-10-12153-2013.

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Abstract. The objective of this study is to evaluate the mapping accuracy of the MSG-SEVIRI operational snow cover product over Austria. The SEVIRI instrument is on board of the geostationary Meteosat Second Generation (MSG) satellite. The snow cover product provides 32 images per day with a relatively low spatial resolution of 5 km over Austria. The mapping accuracy is examined at 178 stations with daily snow depth observations and compared with the daily MODIS combined (Terra + Aqua) snow cover product in the period April 2008–June 2012. The results show that the 15 min temporal sampling allows a significant reduction of clouds in the snow cover product. The mean annual cloud coverage is less than 30% in Austria, as compared to 52% for the combined MODIS product. The mapping accuracy for cloud-free days is 89% as compared to 94% for MODIS. The largest mapping errors are found in regions with large topographical variability. The errors are noticeably larger at stations with elevations that differ much from those of the mean MSG-SEVIRI pixel elevations. The median of mapping accuracy for stations with absolute elevation difference less than 50 m and more than 500 m is 98.9% and 78.2%, respectively. A comparison between the MSG-SEVIRI and MODIS products indicates an 83% overall agreement. The largest disagreements are found in alpine valleys and flatland areas in the spring and winter months, respectively.
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Derrien, M., and H. Le Gléau. "MSG/SEVIRI cloud mask and type from SAFNWC." International Journal of Remote Sensing 26, no. 21 (November 10, 2005): 4707–32. http://dx.doi.org/10.1080/01431160500166128.

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Jimenez-Munoz, Juan C., Jose A. Sobrino, Cristian Mattar, Glynn Hulley, and Frank-M. Gottsche. "Temperature and Emissivity Separation From MSG/SEVIRI Data." IEEE Transactions on Geoscience and Remote Sensing 52, no. 9 (September 2014): 5937–51. http://dx.doi.org/10.1109/tgrs.2013.2293791.

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Thieuleux, F., C. Moulin, F. M. Bréon, F. Maignan, J. Poitou, and D. Tanré. "Remote sensing of aerosols over the oceans using MSG/SEVIRI imagery." Annales Geophysicae 23, no. 12 (December 23, 2005): 3561–68. http://dx.doi.org/10.5194/angeo-23-3561-2005.

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Abstract. The SEVIRI instrument on board Meteosat Second Generation (MSG) offers new capabilities to monitor aerosol transport over the Atlantic and the Mediterranean at high temporal and spatial resolutions, in particular, Saharan dust from North Africa, biomass-burning aerosols from subtropical Africa and pollution from Europe. An inversion technique was developed to estimate both aerosol optical thickness and Angström coefficients from SEVIRI measurements at 0.63 and 0.81 µm. This method relies on an optimized set of aerosol models to ensure a fast processing of full-resolution MSG images and to allow the processing of long time series. SEVIRI images for slots 45, 49 and 53 (11:15, 12:15, 13:15 UT) were processed for June 2003. The retrieved optical thicknesses and Angström coefficients are in good agreement with AERONET in-situ measurements in the Atlantic and in the Mediterranean. Monthly mean maps of both parameters are compared to that obtained with the polar orbiting sensor POLDER for June 2003. There is a good consistency between the two monthly means in terms of optical thickness, but the Angström coefficients show significant differences in the Atlantic zone which is affected by dust transport. These differences may be explained by the lack of specific non-spherical dust models within the inversion. The preliminary results presented in this paper demonstrate, nevertheless, the potential of MSG/SEVIRI for the monitoring of aerosol optical properties at high frequencies over the Atlantic and the Mediterranean.
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Henken, Cintia Carbajal, Maurice J. Schmeits, Hartwig Deneke, and Rob A. Roebeling. "Using MSG-SEVIRI Cloud Physical Properties and Weather Radar Observations for the Detection of Cb/TCu Clouds." Journal of Applied Meteorology and Climatology 50, no. 7 (July 2011): 1587–600. http://dx.doi.org/10.1175/2011jamc2601.1.

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AbstractA new automated daytime cumulonimbus/towering cumulus (Cb/TCu) cloud detection method for the months of May–September is presented that combines information on cloud physical properties retrieved from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board Meteosat Second Generation (MSG) satellites and weather radar reflectivity factors. First, a pixel-based convective cloud mask (CCM) is constructed on the basis of cloud physical properties [cloud-top temperature, cloud optical thickness (COT), effective radius, and cloud phase] derived from SEVIRI. Second, a logistic regression model is applied to determine the probability of Cb/TCu clouds for the collection of pixels that pass the CCM. In this model, MSG-SEVIRI cloud physical properties and weather radar reflectivity factors are used as potential predictor sources. The predictand is derived from aviation routine weather reports (METAR) made by human observers at Amsterdam Airport Schiphol for 2004–07. Results show that the CCM filters out >70% of the “no” events (no Cb/TCu cloud) and that >93% of the “yes” events (Cb/TCu cloud) are retained. Most skillful predictors are derived from radar reflectivity factors and the COT of high resolution. The derived probabilities from the combined MSG and radar method clearly show skill over sample climatology. Probability thresholds are used to convert derived probabilities into derived group memberships (i.e., yes/no Cb/TCu clouds). When comparing verification scores between the combined MSG and radar method and either the radar-only method or the MSG-only method, the combined MSG and radar method shows slightly better performance. When comparing the combined MSG and radar method with the current Royal Netherlands Meteorological Institute (KNMI) radar-based Cb/TCu cloud detection method, the two methods show comparable probability of detection, but the former shows a false-alarm ratio that is about 8% lower. Moreover, a big advantage of the newly developed method is that it provides probabilities, in contrast to the current KNMI method.
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Vázquez-Navarro, M., B. Mayer, and H. Mannstein. "A fast method for the retrieval of integrated longwave and shortwave top-of-atmosphere upwelling irradiances from MSG/SEVIRI (RRUMS)." Atmospheric Measurement Techniques 6, no. 10 (October 15, 2013): 2627–40. http://dx.doi.org/10.5194/amt-6-2627-2013.

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Abstract. A new Rapid Retrieval of Upwelling irradiances from MSG/SEVIRI (RRUMS) is presented. It has been developed to observe the top-of-atmosphere irradiances of small scale and rapidly changing features that are not sufficiently resolved by specific Earth radiation budget sensors. Our retrieval takes advantage of the spatial and temporal resolution of MSG/SEVIRI and provides outgoing longwave and reflected shortwave radiation only by means of a combination of SEVIRI channels. The longwave retrieval is based on a simple linear combination of brightness temperatures from the SEVIRI infrared channels. The shortwave retrieval is based on a neural network that requires as input the visible and near-infrared SEVIRI channels. Both LW and SW algorithms have been validated by comparing their results with CERES and GERB irradiance observations. While being less accurate than their dedicated counterparts, the SEVIRI-based methods have two major advantages compared to CERES and GERB: their higher spatial resolution and the better temporal resolution. With our retrievals it is possible to observe the radiative effect of small-scale features such as cumulus clouds, cirrus clouds, or aircraft contrails. The spatial resolution of SEVIRI is 3 km × 3 km in the sub-satellite point, remarkably better than that of CERES (20 km) or GERB (45 km). The temporal resolution is 15 min (5 min in the Rapid-Scan mode), the same as GERB, but significantly better than that of CERES which, being on board of a polar orbiting satellite, has a temporal resolution as low as 2 overpasses per day.
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Heinold, B., I. Tegen, K. Schepanski, and J. R. Banks. "New developments in the representation of Saharan dust sources in the aerosol-climate model ECHAM6-HAM2." Geoscientific Model Development Discussions 8, no. 9 (September 11, 2015): 7879–910. http://dx.doi.org/10.5194/gmdd-8-7879-2015.

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Abstract. In the aerosol-climate model ECHAM6-HAM2, dust source activation (DSA) observations from Meteosat Second Generation (MSG) satellite are proposed to replace the original source area parameterization over the Sahara Desert. The new setup is tested in nudged simulations for the period 2007 to 2008. The evaluation is based on comparisons to dust emission events inferred from MSG dust index imagery, AERONET sun photometer observations, and satellite retrievals of aerosol optical thickness (AOT). The model results agree well with AERONET measurements. Good correlations between model results and MSG-SEVIRI dust AOT as well as Multi-angle Imaging Spectro-Radiometer (MISR) AOT indicate that also the spatial dust distribution is well reproduced. ECHAM6-HAM2 computes a more realistic geographical distribution and up to 20 % higher annual Saharan dust emissions, using the MSG-based source map. The representation of dust AOT is partly improved in the southern Sahara and Sahel. In addition, the spatial variability is increased towards a better agreement with observations depending on the season. Thus, using the MSG DSA map can help to circumvent the issue of uncertain soil input parameters. An important issue remains the need to improve the model representation of moist convection and stable nighttime conditions. Compared to sub-daily DSA information from MSG-SEVIRI and results from a regional model, ECHAM6-HAM2 notably underestimates the important fraction of morning dust events by the breakdown of the nocturnal low-level jet, while a major contribution is from afternoon-to-evening emissions.
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Lazri, Mourad, Karim Labad, Jean Michel Brucker, and Soltane Ameur. "Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data." E3S Web of Conferences 170 (2020): 02002. http://dx.doi.org/10.1051/e3sconf/202017002002.

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The aim of this paper is the estimation of precipitation in northern Algeria using satellite data. To do this, a multi-threshold method based on the exploitation of the clouds optical and microphysical properties is developed. Depending on the availability of the MSG / SEVIRI (M eteosat Second Generation/Spinning Enhanced Visible and Infrared Imaging) satellite channels, the database is divided into daytime data and nighttime data. In the learning phase, daytime and nighttime two-dimensional thresholds are determined from comparisons between the MSG / SEVIRI satellite data of rainy season 2010/2011 and the corresponding data from the Sétif meteorological radar. Using linear regression, an empirical relationship between the SEVIRI spectral data and the precipitation intensities from the radar is determined.To estimate rainfall, the determined empirical relationship is ap plied to the validation dataset collected during rainy season 2011/2012. To evaluate the method, a comparison of the estimation results with reference radar data is performed. The results show that these estimations are in good correlation with those measured by radar.
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Dissertations / Theses on the topic "MSG-SEVIRI"

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Surer, Serdar. "Real-time Snow Cover Mapping Over Mountainous Areas Of Europe Using Msg-seviri Imagery." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609911/index.pdf.

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An algorithm has been developed for snow recognition (SR) over mountainous areas of Europe from satellite imagery. The algorithm uses Meteosat Second Generations (MSG) instrument Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) data that are acquired in every 15 minutes through whole day. Although SEVIRI has low spatial resolution, its high temporal resolution provides a better discrimination capacity between ice clouds and snow. Discrimination of snow and clouds is the most challenging part of snow recognition algorithm development. The proposed algorithm relies on Satellite Application Facility to support Nowcasting and Very Short Range Forecastings (SAFNWC) cloud products. A final thematic map has been produced which is consisting of 3 different classes: snow, cloud and land. Validation of the SEVIRI SR product was held in three stages.The obtained high performance of the SR product is presented with the analysis results.
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Qiu, Shi. "Retrieval of land surface emissivity from AMSR-E and SEVIRI data." Thesis, Strasbourg, 2013. http://www.theses.fr/2013STRAD047/document.

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Cette thèse est consacrée à la détermination de l’émissivité des surfaces terrestres (LSE) à partir de données dans les domaines des micro-ondes et de l’infrarouge thermique. (1) Ce travail a permis de fournir une méthode de détermination du LSE à partir des données AMSR-E (Advanced Microwave Scanning Radiometer-Earth Observing System) et de développer un modèle de transfert radiatif sol-atmosphère (SARTM) utilisé pour simuler les températures de brillance au niveau du capteur. Le modèle SARTM est construit à partir du modèle MonoRTM (MONOchromatic Radiative Transfer Model) et du modèle AIEM (Advanced Integral Equation Model). Dans cette étude les émissivités micro-ondes sur toute la Chine pour l’année 2006 ont été estimées. (2) Cette thèse présente également les améliorations apportées à un algorithme de détermination des émissivités à partir du capteur SEVIRI (Spinning Enhanced Visible and Infrared Imager) à bord du satellite MSG-2. Cet algorithme perfectionné est appliqué à plusieurs images MSG-2/SEVIRI sur une région d’étude de la péninsule ibérique. Il est démontré sur des cas détaillés que les améliorations portées sur la méthode originale de détermination du LSE et de la température de surface étaient réelles et cohérentes
This thesis focused on the retrievals of Land Surface Emissivity (LSE) from microwave data and thermal infrared data. (1) This thesis provides a method to retrieval LSE from the AMSR-E (Advanced Microwave Scanning Radiometer-Earth Observing System) and develops a Soil-Atmosphere Radiative Transfer Model (SARTM) to simulated brightness temperatures at satellite level. SARTM model is built from MonoRTM (MONOchromaticRadiative Transfer Model) and from AIEM (Advanced Integral Equation Model) models. In this study, the LSEs over whole China of year 2006 are estimated. (2) This thesis also presents an improved algorithm to retrieve LSE from SEVIRI (Spinning Enhanced Visible and Infrared Imager) data onboardthe MSG-2 satellite. Finally, this improved algorithm is applied to several MSG-2/SEVIRI datasets over a study area withinthe Iberian Peninsula region. It is demonstrated with some detailed cases that these improvements on the original LSE/land surface temperature (LST) retrieval methods are effective and reasonable
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Vergé-Dépré, Gaëlle. "Télédétection multispectrale des poussières désertiques dans l'infrarouge thermique au-dessus de l'Afrique à partir de MSG/SEVIRI." Phd thesis, Université des Antilles-Guyane, 2007. http://tel.archives-ouvertes.fr/tel-00185300.

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Notre compréhension de l'interaction entre poussières désertiques et climat est encore limitée, en partie parce que la concentration et les propriétés de cet aérosol présentent une grande variabilité spatiale et temporelle. La télédétection spatiale qui présente l'avantage d'une observation globale est donc un outil indispensable. L'infrarouge thermique (IRT) est un domaine spectral où la détection de l'aérosol désertique est particulièrement efficace. Ainsi, l'utilisation du canal IRT de Météosat au-dessus des terres, a permis le développement d'un indice qualitatif de poussière, appelé IDDI (Infrared Difference Dust Index).
L'objectif de cette étude est de corriger les défauts de l'IDDI et d'utiliser les nouveaux canaux dans l'IRT de MSG/SEVIRI pour développer un indice multispectral.
Ce travail s'appuie sur l'analyse des effets de la poussière, du vent de surface, de l'élévation solaire et de la vapeur d'eau sur la luminance au sommet de l'atmosphère, à l'aide du code de transfert radiatif MODTRAN. L'influence de l'émissivité de surface sur la luminance en présence de poussière est aussi analysée. Une méthode de correction de l'IDDI est proposée pour tenir compte des perturbations liées au vent de surface et à l'élévation solaire. L'étude est ensuite étendue aux trois canaux MSG/SEVIRI compte tenu des variations spectrales des propriétés de l'aérosol et de l'émissivité. Les résultats montrent une sensibilité accrue dans les canaux 8.7 et 10.8 µm, et un IDDI multispectral est proposé pour améliorer la corrélation entre IDDI et épaisseur optique mesurée par le réseau AERONET sur cinq sites sahéliens. Ce nouvel IDDI permettra d'améliorer le suivi des soulèvements de poussière sur l'Afrique.
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Reuter, Maximilian. "Identification of cloudy and clear sky areas in MSG SEVIRI images by analyzing spectral and temporal information." [S.l. : s.n.], 2005. http://www.diss.fu-berlin.de/2005/194/index.html.

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Patou, Maximilien. "Analyse temporelle des propriétés optiques, microphysiques et macrophysiques de systèmes nuageux fortement précipitants à partir de SEVIRI/MSG." Thesis, Lille 1, 2018. http://www.theses.fr/2018LIL1R006/document.

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La formation et l’intensification des précipitations sont le résultat de différents processus microphysiques menant au grossissement des hydrométéores nuageux. Les caractéristiques macrophysiques de formation et de développement des nuages convectifs fournissent un cadre environnemental qui influence et contraint ces processus microphysiques. L’observation de l’évolution des nuages à haute résolution temporelle permet de mettre en évidence ces processus microphysiques dont la compréhension est indispensable à la prévision à courte échéance des fortes précipitations. Dans ce travail, nous avons mis au point une méthode originale de suivi à haute résolution temporelle (cinq minutes) de systèmes convectifs isolés et associés à de fortes précipitations à partir de l’instrument SEVIRI (Spinning Enhanced Visible and Infrared Imager) embarqué sur le satellite géostationnaire MSG (Météosat Seconde Génération). À partir de plusieurs cas d’étude, une analyse combinée de l’évolution temporelle des propriétés microphysiques (phase thermodynamique, rayons effectifs des hydrométéores), optiques (épaisseur optique) et macrophysiques (ratio périmètre/surface, température moyenne) au sommet des nuages ainsi que l’observation de l’évolution des précipitations au sol ont permis d’identifier sur une période d’intensification des précipitations allant de 30 minutes à 2h, un comportement typique des propriétés au sommet des nuages. Ce résultat fournit une base d'analyse pour la détermination future d’indicateurs précurseurs des fortes précipitations
Formation of precipitation and its intensity are the result of the microphysical processes that contribute to the growth of precipitating hydrometeors. Macrophysical features of cloud formation and growth provide a framework of environmental conditions constraining microphysical processes. Cloud observations at high temporal resolution can highlight microphysical processes to better understand them which is essential for short-term prediction of heavy rainfall events within the context of nowcasting. A new methodology to track convective cloud systems with a time resolution of five minutes was developed from SEVIRI (Spinning Enhanced Visible and Infrared Imager) on board Meteosat Second Generation (MSG) geostationary satellite. A temporal analysis of cloud top microphysical properties (cloud top phase, cloud effective radius), cloud optical properties (cloud optical thickness), cloud top macrophysical properties (perimeter to area ratio, mean temperature) and ground based precipitation estimation was conducted. Particular temporal trends of cloud top properties was observed over a 30 minutes to 2h rainfall enhancement period. This result provides an analytical basis to determine future precursors of heavy rainfall events
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Sirch, Tobias [Verfasser], and Bernhard [Akademischer Betreuer] Mayer. "Multi-resolution nowcasting of clouds and DNI with MSG/SEVIRI for an optimized operation of concentrating solar power plants / Tobias Sirch ; Betreuer: Bernhard Mayer." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2018. http://d-nb.info/1158496087/34.

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Kühnlein, Meike [Verfasser], and Thomas [Akademischer Betreuer] Nauss. "A machine learning based 24-h-technique for an area-wide rainfall retrieval using MSG SEVIRI data over Central Europe / Meike Kühnlein. Betreuer: Thomas Nauss." Marburg : Philipps-Universität Marburg, 2014. http://d-nb.info/1064097758/34.

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Bernard, Emilien. "Développement de méthodes avancées pour l'exploitation quantitative du radiomètre visible infrarouge SEVIRI à bord de MSG : application à la caractérisation des aérosols atmosphériques et de la turbidité marine." Paris 6, 2011. http://www.theses.fr/2011PA066123.

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L'évolution temporelle et spatiale des aérosols est une des grandes inconnues dans l'étude du climat et de la santé. La télédétection est un outil indispensable pour répondre à ces questions. La thèse traite principalement de la validation d'une chaîne de traitement pour la détection des aérosols à partir des données du capteur SEVIRI à bord de MSG à 0. 6μm. Une validation intensive est faite sur la zone Europe à partir d'une année de donnée en comparant avec les inversions faites depuis le réseau AERONET. On démontre la bonne corrélation avec AERONET ainsi que la bonne cohérence avec le capteur satellitaire MODIS. Afin de mieux comprendre les biais persistants, une étude de l'AOT est réalisée en fonction des différents paramètres angulaires, de la réflectance de surface et du temps qui abouti à des recommandations pour l'utilisation du produit aérosol. Ensuite, nous démontrons les capacités du capteur et de la chaîne de traitement à observer le cycle diurne des aérosols. L'avantage de la grande fréquence temporelle permet également de réaliser des niveaux 3 avec une bonne représentativité. Les données de SEVIRI ont servi à une étude exploratoire sur la détection de la turbidité marine en eaux côtières en Mer du Nord. Un effort particulier a été apporté aux corrections atmosphériques pour estimer au mieux le faible signal marin. La réflectance marine retrouvée a été comparée avec le capteur ENVISAT/MERIS et une bonne cohérence est trouvée. La conversion de ces réflectances en matière en suspension se fait par une relation semi-empirique. Une bonne corrélation entre ces restitutions et les mesures in-situ est trouvée, permettant d'observer un cycle diurne des sédiments.
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Thies, Boris [Verfasser]. "A novel day, night technique for area-wide precipitation retrieval over Central Europe using MSG SEVIRI data / vorgelegt von Boris Thies." 2008. http://d-nb.info/992168260/34.

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Reuter, Maximilian [Verfasser]. "Identification of cloudy and clear sky areas in MSG SEVIRI images by analyzing spectral and temporal information / vorgelegt von Maximilian Reuter." 2005. http://d-nb.info/975890441/34.

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Book chapters on the topic "MSG-SEVIRI"

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Benkahla, Naima, and Abdelatif Hassini. "Identification of Terrestrial Vegetation by MSG-SEVIRI Radiometer and Follow-Up of Its Temporal Evolution." In Modeling Approaches and Algorithms for Advanced Computer Applications, 305–14. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00560-7_34.

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Pokrovsky, Igor, Oleg Pokrovsky, and Jean-Louis Roujean. "An estimation of surface albedo from the SEVIRI/MSG observing system by using POLDER BRDF measurements." In Polarimetric Detection, Characterization and Remote Sensing, 341–82. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1636-0_14.

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Solomos, S., S. Nickovic, V. Amiridis, G. Pejanovic, Y. Pradhan, F. Marenco, S. Petkovic, E. Marinou, B. Cvetkovic, and C. Kontoes. "Development of a Dust Assimilation System for NMM-DREAM Model Based on MSG-SEVIRI Satellite Observations." In Perspectives on Atmospheric Sciences, 801–7. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35095-0_115.

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Govaerts, Yves M., Sébastien Wagner, Alessio Lattanzio, and Philip Watts. "Optimal estimation applied to the joint retrieval of aerosol optical depth and surface BRF using MSG/SEVIRI observations." In Satellite Aerosol Remote Sensing over Land, 327–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-69397-0_11.

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Dhib, Saoussen, Chris Mannaerts, and Zoubeida Bargaoui. "Improving the MSGMPE Accuracy for the Northern of Tunisia by the Multispectral Analysis of the Cloud Field from MSG SEVIRI." In Engineering Geology for Society and Territory - Volume 1, 117–20. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09300-0_23.

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Conference papers on the topic "MSG-SEVIRI"

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Faure, François. "Seviri Imaging Radiometer on Meteosat Second Generation : SEVIRI on MSG-1." In 54th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.iac-03-b.3.01.

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Siljamo, Niilo, Otto Hyvarinen, and Jarkko Koskinen. "Operational Snowcover Mapping using MSG/SEVIRI Data." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4780023.

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Gambardella, Attilio, Thomas Huld, and Jean Verdebout. "Surface solar irradiance maps from seviri MSG data." In IGARSS 2010 - 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5648968.

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González, Albano, Juan C. Pérez, and Montserrat Armas. "Nonparametric segmentation of clouds from multispectral MSG-SEVIRI imagery." In SPIE Europe Remote Sensing, edited by Richard H. Picard, Klaus Schäfer, Adolfo Comeron, and Michiel van Weele. SPIE, 2009. http://dx.doi.org/10.1117/12.830293.

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Garcia-Haro, F. J., Fernando Camacho-de Coca, and Joaquin Melia. "Global mapping of vegetation parameters from SEVIRI/MSG data." In Remote Sensing, edited by Manfred Owe, Guido D'Urso, Jose F. Moreno, and Alfonso Calera. SPIE, 2004. http://dx.doi.org/10.1117/12.511046.

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Laneve, G., M. Castronuovo, and E. Cadau. "Assessment of the Fire Detection Limit using SEVIRI/MSG Sensor." In 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.1066.

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Petersen, Henk. "Measured Performance of the Passive Cryogenic Cooler for MSG SEVIRI." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/981641.

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Roberts, G., M. J. Wooster, E. Lagoudakis, P. Freeborn, and W. Xu. "Continental Africa biomass burning temporal dynamics derived from MSG SEVIRI." In 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5417973.

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Zhao, Wei, Jelila Labed, Xiaoyu Zhang, and Zhao-Liang Li. "Surface soil moisture estimation from SEVIRI data onboard MSG satellite." In IGARSS 2010 - 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5651592.

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Aminou, Donny M. A., Bernard Jacquet, and Frederick Pasternak. "Characteristics of the Meteosat Second Generation (MSG) radiometer/imager: SEVIRI." In Aerospace Remote Sensing '97, edited by Hiroyuki Fujisada. SPIE, 1997. http://dx.doi.org/10.1117/12.298084.

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