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Digital surface models from high-resolution satellite imagery / J. Poon in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)
[article]
Titre : Digital surface models from high-resolution satellite imagery Type de document : Article/Communication Auteurs : J. Poon, Auteur ; Clive Simpson Fraser, Auteur ; C. Zhang, Auteur Année de publication : 2007 Article en page(s) : pp 1225 - 1231 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] analyse comparative
[Termes IGN] ERDAS Imagine
[Termes IGN] extraction automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] instrumentation Z/I Imaging
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] Socet SetRésumé : (Auteur) Automated processes in commercial-off-the-shelf (COTS) systems are increasingly prevalent as new technology, and new knowledge is fused to enhance accessibility to spatial information. Automated terrain extraction is becoming a standard capability implemented into photogrammetric software. This paper focuses on digital surface model (DSM) generation from high-resolution satellite imagery (HRSI) using three COTS systems, SOCET SET®, Z/I Imaging, and Imagine® OrthoBASE, which each have their own image matching strategy. By generating DSMs of a test field diverse in land-cover, we assess the performance of the COTS terrain extraction methodologies. In checkpoints favorable to image matching, accuracy to a few meters in height can be achieved from COTS generated DSMs, however the isolated points are unlikely to be representative of the entire scene. Therefore, we look to alternative sources of control, such as the newly available DLR- and NASA-generated SRTM DEMs. A comparison to X-band SRTM DEMs demonstrated that height RMSE values range from 4 to 9 metres, though most of this uncertainty is attributed to the SRTM data. Copyright ASPRS Numéro de notice : A2007-513 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.11.1225 En ligne : https://doi.org/10.14358/PERS.73.11.1225 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28876
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 11 (November 2007) . - pp 1225 - 1231[article]An elevation of void-filling interpolation methods for SRTM data / H.I. Reuter in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
[article]
Titre : An elevation of void-filling interpolation methods for SRTM data Type de document : Article/Communication Auteurs : H.I. Reuter, Auteur ; A. Nelson, Auteur ; A. Jarvis, Auteur Année de publication : 2007 Article en page(s) : pp 983 - 1008 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] fonction spline d'interpolation
[Termes IGN] image SRTM
[Termes IGN] interpolation
[Termes IGN] interpolation linéaire
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) The Digital Elevation Model that has been derived from the February 2000 Shuttle Radar Topography Mission (SRTM) has been one of the most important publicly available new spatial data sets in recent years. However, the 'finished' grade version of the data (also referred to as Version 2) still contains data voids (some 836,000 km2) - and other anomalies - that prevent immediate use in many applications. These voids can be filled using a range of interpolation algorithms in conjunction with other sources of elevation data, but there is little guidance on the most appropriate void-filling method. This paper describes: (i) a method to fill voids using a variety of interpolators, (ii) a method to determine the most appropriate void-filling algorithms using a classification of the voids based on their size and a typology of their surrounding terrain; and (iii) the classification of the most appropriate algorithm for each of the 3,339,913 voids in the SRTM data. Based on a sample of 1304 artificial but realistic voids across six terrain types and eight void size classes, we found that the choice of void-filling algorithm is dependent on both the size and terrain type of the void. Contrary to some previous findings, the best methods can be generalised as: kriging or inverse distance weighting interpolation for small and medium size voids in relatively flat low-lying areas; spline interpolation for small and medium-sized voids in high-altitude and dissected terrain; triangular irregular network or inverse distance weighting interpolation for large voids in very flat areas, and an advanced spline method (ANUDEM) for large voids in other terrains. Copyright Taylor & Francis Numéro de notice : A2007-553 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810601169899 En ligne : https://doi.org/10.1080/13658810601169899 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28916
in International journal of geographical information science IJGIS > vol 21 n° 9-10 (october 2007) . - pp 983 - 1008[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07061 RAB Revue Centre de documentation En réserve L003 Disponible 079-07062 RAB Revue Centre de documentation En réserve L003 Disponible Filling the voids in the SRTM elevation model: a tin-based delta surface approach / E. Luedeling in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)
[article]
Titre : Filling the voids in the SRTM elevation model: a tin-based delta surface approach Type de document : Article/Communication Auteurs : E. Luedeling, Auteur ; S. Siebert, Auteur ; A. Buerkert, Auteur Année de publication : 2007 Article en page(s) : pp 283 - 294 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] altitude
[Termes IGN] analyse comparative
[Termes IGN] erreur systématique
[Termes IGN] fusion de données
[Termes IGN] interpolation spatiale
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] montagne
[Termes IGN] Oman
[Termes IGN] positionnement par GPS
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) The Digital Elevation Model (DEM) derived from NASA's Shuttle Radar Topography Mission is the most accurate near-global elevation model that is publicly available. However, it contains many data voids, mostly in mountainous terrain. This problem is particularly severe in the rugged Oman Mountains. This study presents a method to fill these voids using a fill surface derived from Russian military maps. For this we developed a new method, which is based on Triangular Irregular Networks (TINs). For each void, we extracted points around the edge of the void from the SRTM DEM and the fill surface. TINs were calculated from these points and converted to a base surface for each dataset. The fill base surface was subtracted from the fill surface, and the result added to the SRTM base surface. The fill surface could then seamlessly be merged with the SRTM DEM. For validation, we compared the resulting DEM to the original SRTM surface, to the fill DEM and to a surface calculated by the International Center for Tropical Agriculture (CIAT) from the SRTM data. We calculated the differences between measured GPS positions and the respective surfaces for 187,500 points throughout the mountain range (?GPS). Comparison of the means and standard deviations of these values showed that for the void areas, the fill surface was most accurate, with a standard deviation of the ?GPS from the mean ?GPS of 69 m, and only little accuracy was lost by merging it to the SRTM surface (standard deviation of 76 m). The CIAT model was much less accurate in these areas (standard deviation of 128 m). The results show that our method is capable of transferring the relative vertical accuracy of a fill surface to the void areas in the SRTM model, without introducing uncertainties about the absolute elevation of the fill surface. It is well suited for datasets with varying altitude biases, which is a common problem of older topographic information. Copyright ISPRS Numéro de notice : A2007-429 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28792
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 4 (September 2007) . - pp 283 - 294[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-07061 SL Revue Centre de documentation Revues en salle Disponible Inundation distances and run-up measurements from ASTER, QuickBird and SRTM data, Aceh coast, Indonesia / B.G. Mcadoo in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)
[article]
Titre : Inundation distances and run-up measurements from ASTER, QuickBird and SRTM data, Aceh coast, Indonesia Type de document : Article/Communication Auteurs : B.G. Mcadoo, Auteur ; N. Richardson, Auteur ; J. Borreros, Auteur Année de publication : 2007 Article en page(s) : pp 2961 - 2975 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] image Quickbird
[Termes IGN] image SRTM
[Termes IGN] image Terra-ASTER
[Termes IGN] Indonésie
[Termes IGN] inondation
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] risque naturel
[Termes IGN] séisme
[Termes IGN] tsunamiRésumé : (Auteur) The massive 26 December 2004 earthquake and tsunami affected a large geographic region in the Indian Ocean basin, hitting Indonesia's Aceh province on the island of Sumatra particularly hard. In this study, tsunami inundation distances and run-up elevations on the NW Sumatran coast are assessed at a regional scale using remotely sensed data (ASTER, QuickBird and SRTM). Using satellite data in disaster zones allows tsunami scientists to access data in difficult areas (logistically and politically), along with the other benefits that such data has to offer (e.g. spectral and spatial). Field work rapidly following the tsunami allowed the collection of samples, elevation data and other information through interviews with survivors that validated the remotely sensed observations. Median run-up elevations extracted from SRTM and ASTER generated digital elevation models (DEMs) for the Banda Aceh area were 16 m and 9.7 m above sea level respectively, and field measurements averaged 9 m. In Meulaboh, median run-up elevations were 9 m (SRTM) and 6.6 m (ASTER) which are close to the 10-15 m range determined in the field. Run-up elevations at Jantang have a bimodal distribution with peaks that correspond to inundation limits in the floodplains (~10 m in both the SRTM and ASTER data) and cliffs (32 m in the ASTER and less well-defined in the SRTM data). Slope maps generated from SRTM and ASTER DEMs show that the inundation limit rarely exceeds slopes of 4°. Using the Aceh area as a control, SRTM and ASTER data and the range of possible products derived from them is here taken as potential suitable tool for computer inundation models that aid in evacuation planning. Copyright Taylor & Francis Numéro de notice : A2007-337 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160601091795 En ligne : https://doi.org/10.1080/01431160601091795 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28700
in International Journal of Remote Sensing IJRS > vol 28 n° 13-14 (July 2007) . - pp 2961 - 2975[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07081 RAB Revue Centre de documentation En réserve L003 Disponible Apports de la télédétection à l'étude de la déformation des chainons de Metlaoui (Tunisie Centro-méridionale) / Maged Jabbour in Photo interprétation, vol 43 n° 2 (Juin 2007)
[article]
Titre : Apports de la télédétection à l'étude de la déformation des chainons de Metlaoui (Tunisie Centro-méridionale) Type de document : Article/Communication Auteurs : Maged Jabbour, Auteur ; D. Dhont, Auteur ; Y. HervouËt, Auteur ; E. Pajot, Auteur Année de publication : 2007 Article en page(s) : pp 15 - 21 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] anticlinal
[Termes IGN] données localisées 2,5D
[Termes IGN] image Landsat
[Termes IGN] image optique
[Termes IGN] MNS SRTM
[Termes IGN] TunisieRésumé : (Auteur) Dans les régions sub-désertiques, les structures plissées d'avant-chaîne sont clairement exprimées sur les données de télédétection optique. Dans les chaînons de Métlaoui en Tunisie centro-méridionale, l'analyse d'images Landsat 5 et 7 combinée à un modèle numérique de terrain SRTM livrent une nouvelle cartographie de vastes plis anticlinaux (40 km x 10 km). En vue de présenter une imagerie en profondeur de ces structures plissées, les différents paramètres géométriques (longueur d'onde du pli, amplitude du pli, plongements locaux) tirés de cette cartographie 2,5-D ont été intégrés à une modélisation numérique afin d'estimer la profondeur du niveau de décollement potentiel. Ainsi, les anticlinaux de la région de Métlaoui correspondent à des plis sur propagation de faille dont le niveau de décollement se situe dans le terme salifère de la formation Nara (Jurassique), à une profondeur de 5 km par rapport au toit de la formation Abiod (Maastrichtien). Copyright Editions Eska Numéro de notice : A2007-616 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28979
in Photo interprétation > vol 43 n° 2 (Juin 2007) . - pp 15 - 21[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 104-07021 RAB Revue Centre de documentation En réserve L003 Disponible Quality assessment of SRTM C- and X-band interferometric data: Implications for the retrieval of vegetation canopy height / W.S. Walker in Remote sensing of environment, vol 106 n° 4 (28/02/2007)PermalinkDelineating lakes and enclosed islands in satellite imagery by geodesic active contour model / C. Shen in International Journal of Remote Sensing IJRS, vol 27 n°23-24 (December 2006)PermalinkEvaluation of the horizontal resolution of SRTM elevation data / L. Pierce in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 11 (November 2006)PermalinkHigh-resolution land topography / Didier Massonnet in Comptes rendus : Géoscience, vol 338 n° 14-15 (November 2006)PermalinkAssessment of the processed SRTM-based elevation data by CGIAR using field from USA and Thailand and its relation to the terrain characteristics / Y. Gorokhovich in Remote sensing of environment, vol 104 n° 4 (30/10/2006)PermalinkExtraction of ground control points (GCPs) from synthetic aperture radar images and SRTM DEM / S.H. Hong in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkGroundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain / P.K. Srivastava in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkPhoto-interprétation du modèle numérique de terrain SRTM, pour l'étude des directions privilégiées de percolation (site de Bursa, Turquie) / F. Kaveh in Photo interprétation, vol 42 n° 3 (Septembre 2006)PermalinkA three dimensional scatterer map extends the DEM information in urban areas / Nico Adam in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkDEM generation using Quickbird stereo data without ground controls, using tie points only / Penggen Cheng in Geoinformatics, vol 9 n° 2 (01/03/2006)Permalink