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Apport du Short Waves InfraRed (SWIR) de Landsat pour la cartographie géologique en zone aride : exemple de l'Androy (Sud de Madagascar) / J.P. Deroin in Photo interprétation, vol 41 n° 1 (Mars 2005)
[article]
Titre : Apport du Short Waves InfraRed (SWIR) de Landsat pour la cartographie géologique en zone aride : exemple de l'Androy (Sud de Madagascar) Type de document : Article/Communication Auteurs : J.P. Deroin, Auteur ; V. Rabemanana, Auteur ; P. Andrieux, Auteur Année de publication : 2005 Article en page(s) : pp 9 - 17 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte géologique
[Termes IGN] composition colorée
[Termes IGN] géologie structurale
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-SWIR
[Termes IGN] image Landsat-TM
[Termes IGN] lithologie
[Termes IGN] Madagascar
[Termes IGN] structure géologique
[Termes IGN] zone arideRésumé : (Auteur) L'analyse de données satellitales Landsat 5 - TM et Landsat 7 - ETM+ fournit une aide précieuse pour la cartographie géologique de l'Androy, région de socle protérozoïque peu végétalisée et aux terrains peu altérés, au Sud de Madagascar. L'image en couleur composée 7 3 1 est privilégiée, mettant en évidence l'intérêt d'une composition colorée dédiée à l'analyse du milieu minéral. La reconnaissance lithologique est remarquable pour la discrimination des faciès carbonatés (cipolins) comme pour celle de variétés du socle quartzo-siliceux (granites, leptynites, gneiss, orthogneiss, etc.) ou plagioclasique (massifs d'anorthosite). La précision des tracés lithologiques permet de proposer des modèles de déformation ductile protérozoïque argumentés à partir de mesures microtectoniques de terrain. A plus petite échelle, l'imagerie spatiale permet de bien différencier les unités géologiques de l'extrémité méridionale de la Grande Ile : zones tectoniques protérozoïques, volcan crétacé de l'Androy, dépôts cénozoïques divers. Numéro de notice : A2005-365 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27501
in Photo interprétation > vol 41 n° 1 (Mars 2005) . - pp 9 - 17[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 104-05011 RAB Revue Centre de documentation Revues en salle Disponible Performance of different spectral and textural photograph features in multi-source forest inventory / Sakari Tuominen in Remote sensing of environment, vol 94 n° 2 (30/01/2005)
[article]
Titre : Performance of different spectral and textural photograph features in multi-source forest inventory Type de document : Article/Communication Auteurs : Sakari Tuominen, Auteur ; A. Pekkarinen, Auteur Année de publication : 2005 Article en page(s) : pp 256 - 268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification barycentrique
[Termes IGN] forêt
[Termes IGN] image à moyenne résolution
[Termes IGN] image Landsat-TM
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] photographie aérienne
[Termes IGN] photographie infrarouge
[Termes IGN] photographie numérique
[Termes IGN] signature spectrale
[Termes IGN] texture d'imageRésumé : (Auteur) Most multi-source forest inventory (MSFI) applications have thus far been based on the use of medium resolution satellite imagery, such as Landsat TM. The high plot and stand level estimation errors of these applications have, however, restricted their use in forest management planning. One reason suggested for the high estimation errors has been the coarse spatial resolution of the imagery employed. Therefore, very high spatial resolution (VHR) imagery sources provide interesting data for stand-level inventory applications. However, digital interpretation of VHR imagery, such as aerial photographs, is more complicated than the use of traditional satellite imagery. Pixel-by-pixel analysis is not applicable to VHR imagery because a single pixel is small in relation to the object of interest, i.e. a forest stand, and therefore it does not adequately represent the spectral properties of a stand. Additionally in aerial photographs, the spectral properties of the objects are dependent on their location in the image. Therefore, MSFI applications based on aerial imagery must employ features that are less sensitive to their location in the image and that have been derived using the spatial neighborhood of each pixel, e.g. a square-shaped window of pixels. In this experiment several spectral and textural features were extracted from color-infrared aerial photographs and employed in estimation of forest attributes. The features were extracted from original, normalized difference vegetation index and channel ratio images. The correlations between the extracted image features and forest attributes measured from sample plots were examined. Additionally, the spectral and textural features were used for estimating the forest attributes of sample plots, applying the k nearest neighbor estimation method. The results show that several spectral and textural image features that are moderately or well correlated with the forest attributes. Furthermore, the accuracy of forest attribute estimation can be significantly improved by a careful selection of image features. Numéro de notice : A2005-015 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.10.001 En ligne : https://doi.org/10.1016/j.rse.2004.10.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27154
in Remote sensing of environment > vol 94 n° 2 (30/01/2005) . - pp 256 - 268[article]Classifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China / Shuli Chen in International Journal of Remote Sensing IJRS, vol 26 n° 2 (January 2005)
[article]
Titre : Classifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China Type de document : Article/Communication Auteurs : Shuli Chen, Auteur ; Y. Zhou, Auteur Année de publication : 2005 Article en page(s) : pp 2741 - 2754 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Chine
[Termes IGN] déconvolution
[Termes IGN] géologie locale
[Termes IGN] géologie structurale
[Termes IGN] image Landsat-TM
[Termes IGN] levé gravimétrique
[Termes IGN] linéament
[Termes IGN] structure géologique
[Termes IGN] superposition de données
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Geological structures on remotely sensed images, Landsat Thematic Mapper (TM) images in this case, can be classified by quantitative depth information on the basis of the comparison of results from Landsat TM images and geophysical data. Although the lineaments with different depths can be visually interpreted together on Landsat TM images, the depth information and geological significance of these lineaments are however hard to obtain solely from the Landsat TM images of a study area under a thick cover, and it is of much importance for hydrocarbon exploration in the Western Slope Belt of Songliao Basin, northeast China. During the present study, the 3-dimensional field source information, including location and depth information, is derived from 3dimensional Euler deconvolution of gravity data in particular. As an example, it may be quantitatively classified into four groups of depth range: 1000m. It is then superimposed onto the lineaments map from Landsat TM images using a geographical information system (GIS). With a comprehensive analysis of the superimposed maps, we obtain validation and quantitative depth information of the geological structures delineated on the Landsat TM images. Four depth-layered maps of geological structures with different depths are presented here. It is concluded that the number of structures with depth greater than 1000 m on the Landsat TM images is fewer than those at the other three depth ranges. The detection of geological structures on Landsat TM images attributed to depth information derived from the geophysical data may also be possible by this approach. Numéro de notice : A2005-343 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500104210 En ligne : https://doi.org/10.1080/01431160500104210 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27479
in International Journal of Remote Sensing IJRS > vol 26 n° 2 (January 2005) . - pp 2741 - 2754[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-05021 RAB Revue Centre de documentation En réserve L003 Disponible Landsat-7 ETM+ on-orbit reflective-band radiometric characterization / L. Scaramuzza in IEEE Transactions on geoscience and remote sensing, vol 42 n° 12 (December 2004)
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Titre : Landsat-7 ETM+ on-orbit reflective-band radiometric characterization Type de document : Article/Communication Auteurs : L. Scaramuzza, Auteur ; P.L. Scaramuzza, Auteur ; B.L. Markham, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2796 - 2809 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] bruit (théorie du signal)
[Termes IGN] caractérisation
[Termes IGN] erreur systématique
[Termes IGN] filtrage du bruit
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] qualité radiométrique (image)
[Termes IGN] réflectivitéRésumé : (Auteur) The Landsat-7 Enhanced Thematic Mapper Plus (ETM+) has been and continues to be radiometrically characterized using the Image Assessment System (IAS), a component of the Landsat-7 Ground System. Key radiometric properties analyzed include: overall, coherent, and impulse noise; bias stability; relative gain stability; and other artifacts. The overall instrument noise is characterized across the dynamic range of the instrument during solar diffuser deployments. Less than 1% per year increases are observed in signal-independent (dark) noise levels, while signal-dependent noise is stable with time. Several coherent noise sources exist in ETM+ data with scene-averaged magnitudes of up to 0.4 DN, and a noise component at 20 kHz whose magnitude varies across the scan and peaks at the image edges. Bit-flip noise does not exist on the ETM+. However, impulse noise due to charged particle hits on the detector array has been discovered. The instrument bias is measured every scan line using a shutter. Most bands show less than 0.1 DN variations in bias across the instrument lifetime. The panchromatic band is the exception, where the variation approaches 2 DN and is related primarily to temperature. The relative gains of the detectors, i.e., each detector's gain relative to the band average gain, have been stable to + 0. 1 % over the mission life. Two exceptions to this stability include band 2 detector 2, which dropped about 1% in gain about 3.5 years after launch and stabilized, and band 7 detector 5, which has changed several tenths of a percent several times since launch. Memory effect and scan-correlated shift, a hysteresis and a random change in bias between multiple states, respectively, both of which have been observed in previous Thematic Mapper sensors, have not been convincingly found in ETM+ data. Two artifacts, detector ringing and "oversaturation," affect a small amount of ETM+ data. Numéro de notice : A2004-537 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.839083 En ligne : https://doi.org/10.1109/TGRS.2004.839083 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27054
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 12 (December 2004) . - pp 2796 - 2809[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04121 RAB Revue Centre de documentation En réserve L003 Disponible Landslide susceptibility mapping using GIS and the weight-of-evidence model / S. Lee in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)
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Titre : Landslide susceptibility mapping using GIS and the weight-of-evidence model Type de document : Article/Communication Auteurs : S. Lee, Auteur ; J. Choi, Auteur Année de publication : 2004 Article en page(s) : pp 789 - 814 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] ArcInfo
[Termes IGN] axiome de Bayes
[Termes IGN] cartographie des risques
[Termes IGN] Corée du sud
[Termes IGN] dommage matériel
[Termes IGN] effondrement de terrain
[Termes IGN] image IRS
[Termes IGN] image Landsat-TM
[Termes IGN] modèle stochastique
[Termes IGN] risque naturel
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The weights-of-evidence model (a Bayesian probability model) was applied to the task of evaluating landslide susceptibility using GIS. Using landslide location and a spatial database containing information such as topography, soil, forest, geology, land cover and lineament, the weights-of-evidence model was applied to calculate each relevant factor's rating for the Boun area in Korea, which had suffered substantial landslide damage following heavy rain in 1998. In the topographic database, the factors were slope, aspect and curvature; in the soil database, they were soil texture, soil material, soil drainage, soil effective thickness and topographic type; in the forest map, they were forest type, timber diameter, timber age and forest density; lithology was derived from the geological database; land-use information came from Landsat TM satellite imagery; and lineament data from IRS satellite imagery. Tests of conditional independence were performed for the selection of factors, allowing 43 combinations of factors to be analysed. For the analysis of mapping landslide susceptibility, the contrast values, W+ and W-, of each factor's rating were overlaid spatially. The results of the analysis were validated using the previous landslide locations. The combination of slope, curvature, topography, timber diameter, geology and lineament showed the best results. The results can be used for hazard prevention and land-use planning. Numéro de notice : A2004-484 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001702003 En ligne : https://doi.org/10.1080/13658810410001702003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27002
in International journal of geographical information science IJGIS > vol 18 n° 8 (december 2004) . - pp 789 - 814[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-04081 RAB Revue Centre de documentation En réserve L003 Disponible 079-04082 RAB Revue Centre de documentation En réserve L003 Disponible Detection of land use/land cover changes for the northern part of the Nile delta (Burullus region), Egypt / Kh. M. Dewidar in International Journal of Remote Sensing IJRS, vol 25 n° 20 (October 2004)PermalinkAn assessment of the effectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs / D.G. Hadjimitsis in International Journal of Remote Sensing IJRS, vol 25 n° 18 (September 2004)PermalinkUrban land-cover change analysis in central Puget Sound / M. Alberti in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 9 (September 2004)PermalinkLandsat urban mapping based on a combined spectral-spatial methodology / B. Guindon in Remote sensing of environment, vol 92 n° 2 (15/08/2004)PermalinkMapping regional land cover with MODIS data for biological conservation: examples from the greater Yellowstone ecosystem, USA and PARA state, Brazil / K.J. Wessels in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkUsing Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China / G.X. Zhao in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)PermalinkA split model for extraction of subpixel impervious surface information / Y. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)PermalinkReducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices / A.S. Rogers in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)PermalinkNoise over water surfaces in Landsat TM images / J.E. Nichol in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)PermalinkAssessing the effects of human-induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series / K.J. Wessels in Remote sensing of environment, vol 91 n° 1 (15/05/2004)PermalinkValidation and calibration of Canada-wide coarse-resolution satellite burned-area maps / R.H. Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 4 (April 2004)PermalinkTopographic information of sand dunes as extracted from shading effects using Landsat images / N. Levin in Remote sensing of environment, vol 90 n° 2 (30/03/2004)PermalinkMapping residential density patterns using multi- temporal Landsat data and decision-tree classifier / S. Mccauley in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)PermalinkUsing Landsat 7 TM data acquired days after a flood event to delineate the maximum flood extent on a coastal floodplain / Y. Wang in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)PermalinkImpact of imagery temporal on land-cover change detection monitoring / R.S. Lunetta in Remote sensing of environment, vol 89 n° 4 (29/02/2004)PermalinkMonitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data / F. Maselli in Remote sensing of environment, vol 89 n° 4 (29/02/2004)PermalinkImproving tropical forest mapping using multi-date Landsat TM data and pre-classification image smoothing / C. Tottrup in International Journal of Remote Sensing IJRS, vol 25 n° 4 (February 2004)PermalinkDelineation of forest/nonforest land use classes using nearest neighbor methods / R. Haapanen in Remote sensing of environment, vol 89 n° 3 (15/02/2004)PermalinkApplication of stereoscopic satellite images for studying Quaternary tectonics in arid regions / B. Fu in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)PermalinkApproaches to fractional land cover and continuous field mapping: a comparative assessment over the BOREAS [BOReal Ecosystem Atmosphere Study] study region / R. Fernandes in Remote sensing of environment, vol 89 n° 2 (30/01/2004)Permalink