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Electromagnetic land surface classification through integration of optical and radar remote sensing data / J. Baek in IEEE Transactions on geoscience and remote sensing, vol 49 n° 4 (April 2011)
[article]
Titre : Electromagnetic land surface classification through integration of optical and radar remote sensing data Type de document : Article/Communication Auteurs : J. Baek, Auteur ; W. Kim, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 1214 - 1222 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] Alberta (Canada)
[Termes IGN] analyse en composantes principales
[Termes IGN] classification dirigée
[Termes IGN] fusion de données multisource
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Landsat-TM
[Termes IGN] image optique
[Termes IGN] image Quickbird
[Termes IGN] image radar
[Termes IGN] MNS SRTMRésumé : (Auteur) We present a nonhierarchical electromagnetic (EM) land surface classification method through the integration of satellite multispectral high-resolution optical and polarized radar images of central Alberta near the Saskatchewan border. We implement a conventional supervised land surface classification method and a principal component analysis to a QuickBird image. The EM properties are then assigned to the classified surfaces to produce hierarchical EM land classification maps. To further classify a hierarchical EM surface (i.e., dielectric constant), we calculate the root-mean-square surface height with a Shuttle Radar Topography Mission 3-arc-second digital elevation model and the temperatures from a thermal band of a Landsat-5 Thematic Mapper image. We also calculate the backscattering coefficients from the Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar image. Using these estimated values, we calculate the intrinsic weighting factors with the Dubois (1995) model for less vegetated land areas and the Ulaby (1986) model for open water areas. By applying these weighting factors to the hierarchical EM surface, we generate a nonhierarchical higher resolution EM surface map of the study area. Numéro de notice : A2011-131 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2096513 Date de publication en ligne : 06/01/2011 En ligne : https://doi.org/10.1109/TGRS.2010.2096513 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30910
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 4 (April 2011) . - pp 1214 - 1222[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2011041 RAB Revue Centre de documentation En réserve L003 Disponible It's all about elevation: Radar satellites cover our Earth in 3D / Gertrud Riegler in Geoinformatics, vol 14 n° 2 (01/03/2011)
[article]
Titre : It's all about elevation: Radar satellites cover our Earth in 3D Type de document : Article/Communication Auteurs : Gertrud Riegler, Auteur Année de publication : 2011 Article en page(s) : pp 16 - 14 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] image radar moirée
[Termes IGN] image TanDEM-X
[Termes IGN] image TerraSAR-X
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] MNS TerraSAR & TanDEM-X
[Termes IGN] modèle numérique de terrainRésumé : (Auteur) With the successful launch of the German radar satellite TanDEM-X on june 21st, 2010, a new era of global digital elevation information provision has commenced. Together with TerraSAR-X, TanDEM-X forms a high-precision radar interferometer acquiring the data basis for a global homogeneous Digital Elevation Model of unprecedented quality, accuracy, and coverage. This unique dataset will be available for the entire land surface of the Earth from 2014 onwards. Numéro de notice : A2011-061 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30842
in Geoinformatics > vol 14 n° 2 (01/03/2011) . - pp 16 - 14[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 262-2011021 SL Revue Centre de documentation Revues en salle Disponible Effect of SRTM resolution on morphometric feature identification using neural network - self organizing map / A. Ehsani in Geoinformatica, vol 14 n° 4 (October 2010)
[article]
Titre : Effect of SRTM resolution on morphometric feature identification using neural network - self organizing map Type de document : Article/Communication Auteurs : A. Ehsani, Auteur ; F. Quiel, Auteur ; A. Malekian, Auteur Année de publication : 2010 Article en page(s) : pp 405 - 424 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aire protégée
[Termes IGN] Carpates
[Termes IGN] carte de Kohonen
[Termes IGN] classification par réseau neuronal
[Termes IGN] détection de changement
[Termes IGN] données topographiques
[Termes IGN] géomorphométrie
[Termes IGN] image SIR-C-X-SAR
[Termes IGN] MNS SRTMRésumé : (Auteur) In this study, we present a semi-automatic procedure using Neural Networks—Self Organizing Map—and Shuttle Radar Topography Mission DEMs to characterize morphometric features of the landscape in the Man and Biosphere Reserve “Eastern Carpathians”. We investigate specially the effect of two resolutions, SIR-C with 3 arc seconds and X-SAR with 1 arc second for morphometric feature identification. Specifically we investigate how the SRTM/C band data with 30 m interpolated grid, corresponding to SRTM/X band 30 m, affect the morphometric characterization and topography derivatives. To reduce misregistration between the DEMs, spatial co-registration was performed and a RMSE of 0.48 pixel was achieved. Morphometric parameters such as slope, maximum curvature, minimum curvature and cross-sectional curvature are derived using a bivariate quadratic approximation on 90 m, 30 m and interpolated 30 m DEMs. Self Organizing Map (SOM) is used for the classification of morphometric parameters into ten exclusive and exhaustive classes. These classes were analyzed as morphometric features such as ridge, channel, crest line and planar for all data sets based on feature space (scatter plot), morphometric signatures and 3D inspection of the area. The map quality is analyzed by oblique views with contour lines overlaid. Using the X band DEM with 30 m grid as benchmark, a change detection technique was used to quantify differences in morphometric features and to assess the scale effect going from a 90 m (C-band) DEM to an interpolated 30 m DEM. The same procedure is used to study the effect of different resolutions on morphometric features. Morphometric parameters were computed by a moving window size 5 x 5 (corresponding to 450 m on the ground) over SRTM- 90 m. To cover the same ground area, a moving window size of 15 x 15 is used for the 30 m DEM. The change analysis showed the amount of resolution dependency of morphometric features. Overall, the results showed that the introduced method is very useful for identification of morphometric features based on SRTM resolution. Decreasing the grid size from 90 m to 30 m reveals considerably more detailed information emphasizing local conditions. Comparison between results from DEM-30 m as reference data set and interpolated 30 m, showed a rate of change of 31.5% which is negligible. About 17% of this rate correspond to classes with mean slope > 10°. Of the morphometric parameters, the cross sectional curvature is most sensitive to DEM resolution. Increasing spatial resolution reduces the main constrains for morphometric analysis with SRTM 90 m data, such as unrealistic features and isolated single elements in the output map. So in case of lack of high resolution data, the SRTM 90 m data could be interpolated and used for further geomorphic analysis. Copyright Springer Numéro de notice : A2010-302 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-009-0085-4 Date de publication en ligne : 29/04/2009 En ligne : https://doi.org/10.1007/s10707-009-0085-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30496
in Geoinformatica > vol 14 n° 4 (October 2010) . - pp 405 - 424[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2010041 RAB Revue Centre de documentation En réserve L003 Disponible Identification and analysis of groundwater potential zones in Ken-Betwa river linking area using remote sensing and geographic information system / R. Avtar in Geocarto international, vol 25 n° 5 (August 2010)
[article]
Titre : Identification and analysis of groundwater potential zones in Ken-Betwa river linking area using remote sensing and geographic information system Type de document : Article/Communication Auteurs : R. Avtar, Auteur ; C. Singh, Auteur ; A. Singh, Auteur ; S. Mukherjee, Auteur Année de publication : 2010 Article en page(s) : pp 379 - 396 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte thématique
[Termes IGN] eau souterraine
[Termes IGN] exploration
[Termes IGN] hydrogéologie
[Termes IGN] identification automatique
[Termes IGN] image Landsat-ETM+
[Termes IGN] Inde
[Termes IGN] MNS SRTM
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The use of remote sensing data with other ancillary data in a geographic information system (GIS) environment is useful to delineate groundwater potential zonation map of Ken-Betwa river linking area of Bundelkhand. Various themes of information such as geomorphology, land use/land cover, lineament extracted from digital processing of Landsat (ETM+) satellite data of the year 2005 and drainage map were extracted from survey of India topographic sheets, and elevation, slope data were generated from shuttle radar topography mission (SRTM) digital elevation model (DEM). These themes were overlaid to generate groundwater potential zonation (GWPZ) map of the area. The final map of the area shows different zones of groundwater prospects, viz., good (5.22% of the area), moderate (65.83% of the area) poor (15.31% of the area) and very poor (13.64% of area). Numéro de notice : A2010-311 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106041003731318 Date de publication en ligne : 28/05/2010 En ligne : https://doi.org/10.1080/10106041003731318 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30505
in Geocarto international > vol 25 n° 5 (August 2010) . - pp 379 - 396[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2010051 RAB Revue Centre de documentation En réserve L003 Disponible Vertical accuracy of digital elevation model from Shuttle Radar Topographic Mission: a case study / Ashu Sharma in Geocarto international, vol 25 n° 4 (July 2010)
[article]
Titre : Vertical accuracy of digital elevation model from Shuttle Radar Topographic Mission: a case study Type de document : Article/Communication Auteurs : Ashu Sharma, Auteur ; K. Tiwari, Auteur ; P. Bhadoria, Auteur Année de publication : 2010 Article en page(s) : pp 257 - 267 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] erreur en altitude
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image radar moirée
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] précision altimétriqueRésumé : (Auteur) Vertical accuracy of the processed Shuttle Radar Topographic Mission (SRTM) digital elevation model (DEM) was evaluated using spot height as well as reference DEM. Terrain dependency of error was also explored in relation to elevation, slope and aspect of the terrain. The positive mean error (6.77 + 1.79 m) indicated that the SRTM DEM was slightly underestimating the elevation and this pattern gradually increases towards higher elevation. The observed root mean square error (RMSE) (27.58 + 4.22 m) for the region do not fulfill the 16 m RMSE specification of the SRTM mission. High magnitude errors are typical to steep slope (due to overestimation) and in stream valley (due to underestimation). The magnitude of residuals for NW, W and SW facing slope was smaller as compared to their complementary angle. Results also indicated a S and NE components in SRTM DEM because of underestimation and overestimation of elevation, respectively. Numéro de notice : A2010-276 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040903302931 Date de publication en ligne : 26/09/2009 En ligne : https://doi.org/10.1080/10106040903302931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30470
in Geocarto international > vol 25 n° 4 (July 2010) . - pp 257 - 267[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2010041 RAB Revue Centre de documentation En réserve L003 Disponible Réseaux de talwegs en secteurs érodés : de la détection spatiale à l'analyse fractale / N. Thommeret in Revue internationale de géomatique, vol 20 n° 2 (juin - aout 2010)PermalinkMNT et MNE sur étagère / Françoise de Blomac in SIG la lettre, n° 116 (avril 2010)PermalinkPrediction of vertical deflections from high-degree spherical harmonic synthesis and residual terrain model data / C. Hirt in Journal of geodesy, vol 84 n° 3 (March 2010)PermalinkAssessing image processing techniques for geological mapping: a case study in Eljufra, Libya / N.M. Saadi in Geocarto international, vol 24 n° 3 (June - July 2009)PermalinkComparative analysis of SRTM-NED vegetation canopy height to LIDAR-derived vegetation canopy metrics / L. Kenyi in International Journal of Remote Sensing IJRS, vol 30 n°11-12 (June 2009)PermalinkSimple DEM-based methods to delineate Channel networks for hydrogeomorphological mapping / K. Matsunaga in Transactions in GIS, vol 13 n° 1 (February 2009)PermalinkHigh resolution elevation data derived from stereoscopic CORONA imagery ground control: an approach using IKONOS and SRTM data / Nikolaos Galiatsatos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkSRTM resample with short distance-low nugget kriging / C.H. Grohmann in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)PermalinkComparison of remotely sensed water stages from LiDAR, topographic contours and SRTM / G. Schumann in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)PermalinkTopographic data bases in the product generation of IRS-P6 Liss-4 imagery / M.V. Jyothi in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)Permalink