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Traitement des données de télédétection / Michel-Claude Girard (2010)
Titre : Traitement des données de télédétection : environnement et ressources naturelles Type de document : Guide/Manuel Auteurs : Michel-Claude Girard, Auteur ; C.M. Girard, Auteur Mention d'édition : 2 Editeur : Paris : Dunod Année de publication : 2010 Collection : Technique et ingénierie Sous-collection : Série Environnement et sécurité Importance : 553 p. Format : 17 x 25 cm - sans cédérom ISBN/ISSN/EAN : 978-2-10-054850-7 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] aménagement du littoral
[Termes IGN] capteur (télédétection)
[Termes IGN] chromatopsie
[Termes IGN] classification
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] classification dirigée
[Termes IGN] classification hypercube
[Termes IGN] classification non dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification par nuées dynamiques
[Termes IGN] Corine Land Cover
[Termes IGN] correction géométrique
[Termes IGN] couleur à l'écran
[Termes IGN] cultures
[Termes IGN] détection de contours
[Termes IGN] filtrage du bruit
[Termes IGN] filtrage linéaire
[Termes IGN] filtrage non linéaire
[Termes IGN] géologie
[Termes IGN] herbe
[Termes IGN] indice de végétation
[Termes IGN] mine
[Termes IGN] paysage
[Termes IGN] pédologie
[Termes IGN] photo-interprétation
[Termes IGN] prairie
[Termes IGN] qualité des données
[Termes IGN] rayonnement électromagnétique
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] restauration d'image
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] traitement d'image
[Termes IGN] vecteur (télédétection)
[Termes IGN] zone humideIndex. décimale : 35.20 Traitement d'image Résumé : (Editeur) Cet ouvrage propose un panorama complet du traitement des données issues des images satellitales et aéroportées. II aborde les bases physiques de la télédétection, les capteurs et satellites, et les comportements spectraux des objets et de la couleur, avant de détailler les différents traitements des données de télédétection : l'interprétation visuelle et le classement automatique ; les traitements textural et structural ; la photogrammétrie ; la transformation géométrique des images. L'ouvrage traite également de l'étude de la qualité des images et des critères de choix des données pour l'utilisateur, et présente un large panorama des nombreuses applications de la télédétection (visible, infrarouge, hyperfréquences, CORINE Land Cover, gestion du littoral, etc.). Cette seconde édition apporte des mises à jour sur les satellites d'observation de la Terre, ainsi que de nouveaux éléments sur l'étude des sols (données hyperspectrales, aménagement du littoral et cartographie rapide de l'impact des catastrophes naturelles, étude du climat et de son évolution, interférométrie utilisée pour suivre les déformations du terrain). Véritable outil de travail, ce livre s'adresse aux professionnels qui utilisent la télédétection et veulent trouver des solutions pour traiter leurs données numériques spatialisées. II constitue également une référence utile aux chercheurs et étudiants du domaine. Note de contenu : - Les sources de données
- Interprétation physique des données
- Traitement et interprétation
- ApplicationsNuméro de notice : 20451 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel de cours Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=46773 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 20451-01 35.20 Livre Centre de documentation Télédétection Disponible 20451-02 35.20 Livre Centre de documentation Télédétection Disponible Validation of Landsat-7-ETM+ thermal-band calibration and atmospheric correction whith ground-based measurements / C. Coll in IEEE Transactions on geoscience and remote sensing, vol 48 n° 1 Tome 2 (January 2010)
[article]
Titre : Validation of Landsat-7-ETM+ thermal-band calibration and atmospheric correction whith ground-based measurements Type de document : Article/Communication Auteurs : C. Coll, Auteur ; J. Galve, Auteur ; J.M. Sanchez, Auteur ; V. Caselles, Auteur Année de publication : 2010 Article en page(s) : pp 547 - 555 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] correction atmosphérique
[Termes IGN] données de terrain
[Termes IGN] Espagne
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] image Landsat-ETM+
[Termes IGN] modèle de transfert radiatif
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] rizière
[Termes IGN] température de luminance
[Termes IGN] température de surfaceRésumé : (Auteur) Ground-based measurements of land-surface temperature (LST) performed in a homogeneous site of rice crops close to Valencia, Spain, were used for the validation of the calibration and the atmospheric correction of the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) thermal band. Atmospheric radiosondes were launched at the test site around the satellite overpasses. Field-emissivity measurements of the near-full-vegetated rice crops were also performed. Seven concurrences of Landsat-7 and ground data were obtained in July and August 2004-2007. The ground measurements were used with the MODTRAN-4 radiative transfer model to simulate at-sensor radiances and brightness temperatures, which were compared with the calibrated ETM+ observations over the test site. For the cases analyzed here, the differences between the simulated and ETM+ brightness temperatures show an average bias of 0.6 K and a rootmean-square difference (rmsd) of + 0.8 K. The ground-based measurements were also used for the validation of LSTs derived from ETM+ at-sensor radiances with atmospheric correction calculated from the following: 1) the local-radiosonde profiles and 2) the operational atmospheric-correction tool available at http://atmcorr.gsfc.nasa.gov. For the first case, the differences between the ground and satellite LSTs ranged from -0.6 to 1.4 K, with a mean bias of 0.7 K and an rmsd = +1.0 K. For the second case, the differences ranged between -1.8 and 1.3 K, with a zero average bias and an rmsd = +1.1 K. Although the validation cases are few and limited to one land cover at morning and summer, results show the good LST accuracy that can be achieved with ETM+ thermal data. Copyright IEEE Numéro de notice : A2010-035 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2009.2024934 Date de publication en ligne : 18/08/2009 En ligne : https://doi.org/10.1109/TGRS.2009.2024934 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30231
in IEEE Transactions on geoscience and remote sensing > vol 48 n° 1 Tome 2 (January 2010) . - pp 547 - 555[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2010011B RAB Revue Centre de documentation En réserve L003 Disponible Spectral reflectance and emissivity features of broad leaf plants: prospects for remote sensing in the thermal infrared (8.0-14.0 um) / B. Ribeiro Da Luz in Remote sensing of environment, vol 109 n° 4 (30 August 2007)
[article]
Titre : Spectral reflectance and emissivity features of broad leaf plants: prospects for remote sensing in the thermal infrared (8.0-14.0 um) Type de document : Article/Communication Auteurs : B. Ribeiro Da Luz, Auteur ; J.K. Crowley, Auteur Année de publication : 2007 Article en page(s) : pp 393 - 405 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] emissivité
[Termes IGN] exitance spectrale
[Termes IGN] feuille (végétation)
[Termes IGN] identification automatique
[Termes IGN] image thermique
[Termes IGN] rapport signal sur bruit
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] réflectance spectrale
[Termes IGN] végétationRésumé : (Auteur) Field emissivity measurements were made of leaves collected from nine deciduous tree and agricultural plant species. The data show, for the first time, that it is possible to discriminate subtle spectral emissivity features of leaves from the natural background emission. Under conditions of controlled measurement geometry (leaves arranged to cover a flat surface), the field emissivity spectra agreed fairly well with emissivity values calculated from laboratory directional hemispherical reflectance measurements. Spectral features associated with a variety of leaf chemical constituents, including cellulose, cutin, xylan, silica, and oleanolic acid could be identified in the field emissivity data. Structural aspects of leaf surfaces also influenced spectral behavior, notably the abundance of trichomes, as well as wax thickness and texture. Field spectral measurements made at increasing distances from natural plant canopies showed progressive attenuation of the spectral emissivity features. This attenuation is ascribed to increased multiple scattering that superimposes an opposite-in-sign reflected component on the emittance, and to the increasing number of canopy voids within the instrument field of view. Errors associated with the removal of atmospheric features and with the non-isotropic thermal characteristics of canopies also contribute to the loss of spectral information at greater measurement distances. In contrast to visible and short-wave infrared data, thermal infrared spectra of broad leaf plants show considerable spectral diversity, suggesting that such data eventually could be utilized to map vegetation composition. However, remotely measuring the subtle emissivity features of leaves still presents major challenges. To be successful, sensors operating in the 8–14 um atmospheric window must have high signal-to-noise and a small enough instantaneous field of view to allow measurements of only a few leaf surfaces. Methods for atmospheric compensation, temperature–emissivity separation, and spectral feature analysis also will need to be refined to allow the recognition, and perhaps, exploitation of leaf thermal infrared spectral properties. Copyright Elsevier Numéro de notice : A2007-318 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.01.008 En ligne : https://doi.org/10.1016/j.rse.2007.01.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28681
in Remote sensing of environment > vol 109 n° 4 (30 August 2007) . - pp 393 - 405[article]Computing coastal ocean surface curreants from infrared and ocean color satellite imagery / R.I. Crocker in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)
[article]
Titre : Computing coastal ocean surface curreants from infrared and ocean color satellite imagery Type de document : Article/Communication Auteurs : R.I. Crocker, Auteur Année de publication : 2007 Article en page(s) : pp 435 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] corrélation croisée maximale
[Termes IGN] couleur de l'océan
[Termes IGN] courant marin
[Termes IGN] image Aqua-MODIS
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image Seawifs
[Termes IGN] littoral
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] spectroradiométrie
[Termes IGN] température de surface
[Termes IGN] thermographieRésumé : (Auteur) Many previous studies have demonstrated the viability of estimating advective ocean surface currents from sequential infrared satellite imagery using the maximum cross-correlation (MCC) technique when applied to 1.1-km-resolution Advanced Very High Resolution Radiometer (AVHRR) thermal infrared imagery. Applied only to infrared imagery, cloud cover and undesirable viewing conditions (gaps in satellite data and edge-of-scan distortions) limit the spatial and temporal coverage of the resulting velocity fields. In addition, MCC currents are limited to those represented by the displacements of thermal surface patterns, and hence, isothermal flow is not detected by the MCC method. The possibility of supplementing MCC currents derived from thermal AVHRR imagery was examined, with currents calculated from 1.1-km-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) ocean color imagery, which often have spatial patterns complementary to the thermal infrared patterns. Statistical comparisons are carried out between yearlong collections of thermal and ocean color derived MCC velocities for the central California Current. It is found that the image surface patterns and resulting MCC velocities complement one another to reduce the effects of poor viewing conditions and isothermal flow. The two velocity products are found to agree quite well with a mean correlation of 0.74, a mean rms difference of 7.4 cm/s, and a mean bias less than 2 cm/s which is considerably smaller than the established absolute error of the MCC method. Merging the thermal and ocean color MCC velocity fields increases the spatial coverage by approximately 25% for this specific case study. Copyright IEEE Numéro de notice : A2007-078 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.883461 En ligne : https://doi.org/10.1109/TGRS.2006.883461 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28443
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 2 (February 2007) . - pp 435 - 447[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07021 RAB Revue Centre de documentation En réserve L003 Disponible 065-07022 RAB Revue Centre de documentation En réserve L003 Disponible 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]Inter-comparison of NOAA-AVHRR and IRS-P4 (MSMR) derived sea surface temperatures / B. Jena in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)PermalinkCoal fire mapping from satellite thermal IR data: a case example in Jharia Coalfield, Jharkhand, India / R.S. Chatterjee in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)PermalinkASTER geometric performance / A. Iwasaki in IEEE Transactions on geoscience and remote sensing, vol 43 n° 12 (December 2005)PermalinkCanopy directional emissivity: comparison between models / J.A. Sobrino in Remote sensing of environment, vol 99 n° 3 (30/11/2005)PermalinkASTER observations of thermal anomalies preceding the April 2003 eruption of Chikurachki volcano, Kurile Islands, Russia / D. Pieri in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)PermalinkSeparating 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)PermalinkL'apport des données du satellite SPOT 5 à l'étude des zones humides en Bretagne nord : application au bassin versant du Jaudy-Guindy-Bizien / S. Saloum in Photo interprétation, vol 41 n° 1 (Mars 2005)PermalinkAirborne 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)PermalinkAutomated detection of thermal features of active volcanoes by means of infrared AVHRR records / N. Pergola in Remote sensing of environment, vol 93 n° 3 (15/11/2004)PermalinkDerivation of a threshold function for the advanced very high resolution radiometer 3, 75um channel and its application in automatic cloud discrimination over snow/ice surfaces / X. Xiong in International Journal of Remote Sensing IJRS, vol 25 n° 15 (August 2004)Permalink