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Multispectral Thermal Imager: mission and applications overview / J.J. Szymanski in IEEE Transactions on geoscience and remote sensing, vol 43 n° 9 (September 2005)
[article]
Titre : Multispectral Thermal Imager: mission and applications overview Type de document : Article/Communication Auteurs : J.J. Szymanski, Auteur ; Paul Weber, Auteur Année de publication : 2005 Article en page(s) : pp 1943 - 1949 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] aérosol
[Termes IGN] analyse multibande
[Termes IGN] Multispectral thermal imager
[Termes IGN] radiance
[Termes IGN] réalité de terrain
[Termes IGN] télédétection spatiale
[Termes IGN] température de surface
[Termes IGN] validité des donnéesRésumé : (Auteur) The Multispectral Thermal Imager (MTI) satellite is a research and development project sponsored by the U.S. Department of Energy. The primary mission is to demonstrate advanced muItispectral and thermal imaging from a satellite, including new technologies, data processing, and analysis techniques and validation by reference to ground truth. The MTI builds on the effort, of a number of earlier efforts, including Landsat, National Aeronautics and Space Administration remote sensing missions, and others, but the MTI incorporates a unique combination of attributes designed to advance the state of the art. The MTI satellite, launched on March 12.2000 into a 580 km x 610 km, sunsynchr onous orbit with nominal 1 A.M. and 1 P.M. equatorial crossing times. The Air Force Space Test Program provided the Orbital Sciences Taurus launch. The satellite-based sensors obtain radiance data that are subsequently processed into measurements of atmospheric and surface properties such as column water vapor, atmospheric aerosol loading, surface temperatures, material composition, and others. This paper provides an overview of the MTI research objectives, design, operations, data products, and data processing and analysis. Several other papers provide greater detail on selected topics. Numéro de notice : A2005-387 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.852079 En ligne : https://doi.org/10.1109/TGRS.2005.852079 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27523
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 9 (September 2005) . - pp 1943 - 1949[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05091 RAB Revue Centre de documentation En réserve L003 Disponible 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)
[article]
Titre : Emissivity maps to retrieve land-surface temperature from MSG/SEVIRI Type de document : Article/Communication Auteurs : L.F. Peres, Auteur ; C.C. Dacamara, Auteur Année de publication : 2005 Article en page(s) : pp 1834 - 1844 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] bande infrarouge
[Termes IGN] couvert végétal
[Termes IGN] emissivité
[Termes IGN] image MSG-SEVIRI
[Termes IGN] image Terra-MODIS
[Termes IGN] température au solRésumé : (Auteur) Retrieval of land-surface temperature (LST) using data from the METEOSAT Second Generation-1 (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) requires adequate estimates of land-surface emissivity (LSE). In this context, LSE maps for SEVIRI channels IR3.9, IR8.7, IR10.8, and IR12.0 were developed based on the vegetation cover method. A broadband LSE map (3-14 um) was also developed for estimating longwave surface fluxes that may prove to be useful in both energy balance and climate modeling studies. LSE is estimated from conventional static land-cover classifications, LSE spectral data for each land cover, and fractional vegetation cover (FVC) information. Both International Geosphere-Biosphere Program (IGBP) Data and Information System (DIS) and Moderate Resolution Imaging Spectrometer (MODIS) MOD12Q1 land-cover products were used to build the LSE maps. Data on LSE were obtained from the Johns Hopkins University and Jet Propulsion Laboratory spectral libraries included in the Advanced Spaceborne Thermal Emission and Reflection Radiometer spectral library, as well as from the MODIS University of California-Santa Barbara spectral library. FVC data for each pixel were derived based on the normalized differential vegetation index. Depending on land cover, the LSE errors for channels IR3.9 and IR8.7 spatially vary from +0.6% to +24% and +0.1% to +33%, respectively, whereas the broadband spectrum errors lie between +0.3% and +7%. In the case of channels IR10.8 and IR12.0,73% of the land surfaces within the MSG disk present relative errors less than +1.5%, and almost all (26%) of the remaining areas have relative errors of +2.0 %. Developed LSE maps provide a first estimate of the ranges of LSE in SEVIRI channels for each surface type, and obtained results may be used to assess the sensitivity of algorithms where an a priori knowledge of LSE is required. Numéro de notice : A2005-392 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.851172 En ligne : https://doi.org/10.1109/TGRS.2005.851172 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27528
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 8 (August 2005) . - pp 1834 - 1844[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05081 RAB Revue Centre de documentation En réserve L003 Disponible Separating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method / P. Dash in Remote sensing of environment, vol 96 n° 1 (15/05/2005)
[article]
Titre : Separating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method Type de document : Article/Communication Auteurs : P. Dash, Auteur ; F. Göttsche, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1 - 17 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] correction atmosphérique
[Termes IGN] données de terrain
[Termes IGN] données météorologiques
[Termes IGN] éclairement énergétique
[Termes IGN] emissivité
[Termes IGN] erreur
[Termes IGN] image NOAA-AVHRR
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] radiance
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] saison
[Termes IGN] simulation de surface
[Termes IGN] température au sol
[Termes IGN] thermal infrared multispectral scannerRésumé : (Auteur) The temperature-independent thermal infrared spectral indices (TISI) method is employed for the separation of land surface temperature (LST) and emissivity from surface radiances (atmospherically corrected satellite data). The daytime reflected solar irradiance and the surface emission at ~3.8 um have comparable magnitudes. Using surface radiances and a combination of day-night 2-channel TISI ratios, the ~3.8 um reflectivity is derived. For implementing the TISI method, coefficients for NOAA 9-16 AVHRR channels are obtained. A numerical analysis with simulated surface radiances shows that for most surface types (showing nearly Lambertian behavior) the achievable accuracy is ~0.005 for emissivity (AVHRR channel-5) and ~1.5 K for LST. Data from the European Centre for Medium-Range Weather Forecasts (ECMWF) is used for calculation of atmospheric attenuation. Comparisons are made over a part of central Europe on two différent dates (seasons). Clouds pose a major problem to surface observations; hence, monthly emissivity composites are derived. Additionally, using TISI-based monthly composites of emissivities, a normalized difference vegetation index (NDVI)-based method is tuned to the particular study area and the results are intercompared. Once the coefficients are known, the NDVI method is easily implemented but holds well only for vegetated areas. The error of the NDVI-based emissivities (with respect to the TISI results) ranges between -0.038 and 0.032, but for vegetated areas the peak of the error-histogram is at ~0.002. The algorithm for retrieving emissivity via TISI was validated with synthetic data. Due to the different spatial scales of satellite and surface measurements and the lack of homogeneous areas, which are representative for low-resolution pixels and ground measurements, ground-validation is a daunting task. However, for operational products ground-truth validation is necessary. Therefore, also an approach to identify suitable validation sites for meteorological satellite products in Europe is described. Numéro de notice : A2005-209 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.023 En ligne : https://doi.org/10.1016/j.rse.2004.12.023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27346
in Remote sensing of environment > vol 96 n° 1 (15/05/2005) . - pp 1 - 17[article]Diurnal variations in AVHRR SST [sea surface temperature] fields: a strategy for removing warm layer effects from daily images / B.B. Nardelli in Remote sensing of environment, vol 95 n° 1 (15/03/2005)
[article]
Titre : Diurnal variations in AVHRR SST [sea surface temperature] fields: a strategy for removing warm layer effects from daily images Type de document : Article/Communication Auteurs : B.B. Nardelli, Auteur ; S. Marullo, Auteur ; R. Santorelli, Auteur Année de publication : 2005 Article en page(s) : pp 47 - 56 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] correction radiométrique
[Termes IGN] données météorologiques
[Termes IGN] image NOAA-AVHRR
[Termes IGN] insolation
[Termes IGN] température de surface de la mer
[Termes IGN] variation diurne
[Termes IGN] ventRésumé : (Auteur) Different methodologies to estimate the amplitude of the sea surface temperature diurnal variation (DV) and remove it from remotly sensed SST images have been proposed in the last years. Among these, the parametrization proposed by Stuart-Menteth et al. (2004a, b) [...] published by the International GHRSST-PP Project-Office pp.241 appeared as the most promising. In fact, it takes into account wind and insolation variations during the day, that effectively drive the SST diurnal cycle. This parametrization has been tested on 6 months of NOAA-16 AVHRR images acquired and processed at CNR with Pathfinder algorithm. The tests evidenced some limits for a correct estimation of the DV in low-wind regimes for any insolation condition, and high insolation regimes (>600 W/m2 ) when the wind intensity increases of more than 2m/s during the morning. The limits of applicability of DV correction to NOAA-16 AVHRR data (at least for the Mediterranean area) were thus identified, and data outside these limits were flagged. However, some anomalous heating were not corrected even with these constraints, due to the lack of accuracy in the wind field used for the correction. As result, a strategy to flag residual outliers in the corrected daily images has been developed, based on the comparison to an optimally interpolated night SSt field of the previous day. Numéro de notice : A2005-089 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.005 En ligne : https://doi.org/10.1016/j.rse.2004.12.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27227
in Remote sensing of environment > vol 95 n° 1 (15/03/2005) . - pp 47 - 56[article]Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data / P. Nagler in Remote sensing of environment, vol 94 n° 1 (15/01/2005)
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Titre : Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data Type de document : Article/Communication Auteurs : P. Nagler, Auteur ; J. Cleverly, Auteur Année de publication : 2005 Article en page(s) : pp 17 - 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] covariance
[Termes IGN] données météorologiques
[Termes IGN] évapotranspiration
[Termes IGN] image Terra-MODIS
[Termes IGN] indice de végétation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Nouveau-Mexique (Etats-Unis)
[Termes IGN] régression
[Termes IGN] température de surfaceRésumé : (Auteur) A vegetation index (V1) model for predicting evapotranspiration (ET) from data from the Moderate Resolution Imaging Spectrometer on the EOS-1 Terra satellite and ground meteorological data was developed for riparian vegetation along the Middle Rio Grande River in New Mexico. Ground ET measurements obtained from eddy covariance towers at four riparian sites were correlated with MODIS Vis, MODIS land surface temperatures (LSTs), and ground micrometeorological data over four years. Sites included two saltcedar (Tamarix ramossissima) and two Rio Grande cottonwood (Populus deltoides ssp. Wislizennii) dominated stands. The Enhanced Vegetation Index (EVI) was more closely correlated (r =0.76) with ET than the Normalized Difference Vegetation Index (NDVI; r =0.68) for ET data combined over and species. Air temperature (Ta)measured over the canopy from towers was the meteorological variable that was most closely correlated with ET (r =0.82). MODIS LST data at 1- and 5-km resolutions were too coarse to accurately measure the radiant surface temperature within the narrow riparian corridor; hence, energy balance methods for estimating ET using MODIS LSTs were not successful. On the other hand, a multivariate regression equation for predicting ET from EVI and Ta had an r 2=0. 82 across sites, species, and years. The equation was similar to VI-ET models developed for crop species. The finding that ET predictions did not require species-specific equations is significant, inasmuch as these are mixed vegetation zones that cannot be easily mapped at the species level. Numéro de notice : A2005-017 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.08.009 En ligne : https://doi.org/10.1016/j.rse.2004.08.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27156
in Remote sensing of environment > vol 94 n° 1 (15/01/2005) . - pp 17 - 30[article]Airborne experimental measurements of the angular variations in surface temperature over urban areas: case study of Marseille (France) / J.P. Lagouarde in Remote sensing of environment, vol 93 n° 4 (15/12/2004)PermalinkMapping soil moisture in the central Ebro river valley (NorthEast Spain) with Landsat and NOAA satellite imagery: a comparison with meteorological data / S.M. Vicente-Serrano in International Journal of Remote Sensing IJRS, vol 25 n° 20 (October 2004)PermalinkMapping micro-urban heat islands using NOAA/AVHRR images and CORINE Land Cover : an application to coastal of Greece / M. Stathopoulou in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)PermalinkDevelopment and applications of STARRS: a next generation airborne salinity image / J.L. Miller in International Journal of Remote Sensing IJRS, vol 25 n° 7 (April 2004)PermalinkIn situ measurements of chlorophyll fluorescence and water optical properties as surface data for SeaWIFS, MODIS and MERIS / J.F.R. Gower in International Journal of Remote Sensing IJRS, vol 25 n° 7 (April 2004)PermalinkComparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors / F. Jacob in Remote sensing of environment, vol 90 n° 2 (30/03/2004)PermalinkEstimation of land surface temperature-vegetation abundance relationship for urban heat island studies / Q. Wenger in Remote sensing of environment, vol 89 n° 4 (29/02/2004)PermalinkMapping coal fires based on OMIS1 thermal infrared band image / Y. Wan in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)PermalinkThe EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces / K. Saleh in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)PermalinkLand-use and land-cover change, urban heat island phenomenon, and health implications: a remote sensing approach / C.P. Lo in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)PermalinkSurface soil moisture retrieval from L-band radiometry: a global regression study / T. Pellarin in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)PermalinkRemote sensing techniques to assess water quality / J.C. Ritchie in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)PermalinkSatellite multi-sensor data analysis of urban surface temperatures and Landcover / B. Dousset in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)PermalinkRetrievals of low integrated water vapor using MIR and SSM/T-2 measurements / J.R. Wang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 3 (March 2003)PermalinkThe Advanced Microwave Scanning Radiometer for the Earth observing system (AMSR-E), NASDA's contribution to the EOS for global energy and water cycle / T. Kawanishi in IEEE Transactions on geoscience and remote sensing, vol 41 n° 2 (February 2003)PermalinkIncorporating surface emissivity into a thermal atmospheric correction / N.A. Brunsell in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 12 (December 2002)PermalinkErreur induite par l'évolution diurne de la température sur deux marégraphes acoustiques en méditerranée / J. Gonella (2002)PermalinkObserving our environment from space / G. Begni (2002)PermalinkAnalysis of European forest condition data base / Nick Jewell (2001)PermalinkModelling permafrost temperature response to variations in meteorological data / F. Caline (2000)PermalinkAn operational system for the forest fire risk assessment by means of NOAA images / A. Calle (31/05/1999)PermalinkSimulation du transfert radiatif en milieu urbain à l'aide du tracé de rayons / E. Gaillard (1999)PermalinkCuadernos del Centro de Estudios Ambientales / A. Arozarena Villar (1997)PermalinkEssais et développement d'instrumentation de surveillance volcanologique / F. Maes (1997)PermalinkThird ERS Symposium on space at the service of our environment, Florence, Italy, 14 - 21 March 1997, 3. Volume 3 / T.D. Guyenne (1997)PermalinkUne base de données et des modèles de transferts pour la spatialisation des températures de l'air en fonction de l'environnement agricole / Pascale Cauchi (1996)PermalinkTélédétection spatiale visible et infrarouge de la dynamique du couvert forestier équatorial asiatique / C. Estreguil (1996)PermalinkInfluence de la rugosité de surface en radiométrie micro-onde des sols nus / L. 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Ben Mehrez (1990)PermalinkHalieutique, océanographie et télédétection / Marcel Petit (1990)PermalinkHAREM [Halieutique et Radar, Expérimentation en Méditerranée] / Marcel Petit (1990)PermalinkMonitoring global land surface using Nimbus-7 37ghz data : theory and examples / B.J. Choudhury in International Journal of Remote Sensing IJRS, vol 10 n° 10 (October 1989)Permalink