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Neogeography and preparedness for real-to-virtual world knowledge transfer: conceptual steps to Minecraft Malta / Saviour Formosa in Future internet, vol 6 n° 3 (September 2014)
[article]
Titre : Neogeography and preparedness for real-to-virtual world knowledge transfer: conceptual steps to Minecraft Malta Type de document : Article/Communication Auteurs : Saviour Formosa, Auteur Année de publication : 2014 Article en page(s) : pp 542 - 555 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Malte
[Termes IGN] participation du public
[Termes IGN] réalité virtuelle
[Termes IGN] SIG participatifRésumé : (auteur) Societies have rapidly morphed into complex entities that are creating accessibility, yet, at the same time, they are developing new forms of neogeographic-poverty related to information uptake. Those that have managed to partake in the opportunities provided by the web have new vistas to survive in, in contrast to the new poor who have limited or no access to information. New forms of data in spatial format are accessible to all, however few realize the implications of such a transitional change in wellbeing: Whether entire societies or individuals. The different generations taking up the information access can face different levels of accessibility that may be limited by access to online data, knowledge of usage of tools and the understanding of the results, all within the limits on the spaces they are familiar with. This paper reviews a conceptual process underlining the initial steps of a long-term project in the Maltese Islands that seeks to create an online series of tools that bring the concept of “physical place” to the different generations through the management of a major project, the creation of a 3D virtuality, employing scanning processes, GIS, conversion aspects, and a small block-based Minecraft engine. Numéro de notice : A2014-750 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/fi6030542 En ligne : https://doi.org/10.3390/fi6030542 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76030
in Future internet > vol 6 n° 3 (September 2014) . - pp 542 - 555[article]Quantification of L-band InSAR coherence over volcanic areas using LiDAR and in situ measurements / Mélanie Arab-Sedze in Remote sensing of environment, vol 152 (September 2014)
[article]
Titre : Quantification of L-band InSAR coherence over volcanic areas using LiDAR and in situ measurements Type de document : Article/Communication Auteurs : Mélanie Arab-Sedze, Auteur ; Essam Heggy, Auteur ; Frédéric Bretar, Auteur ; Daniel Berveiller, Auteur ; Stéphane Jacquemoud, Auteur Année de publication : 2014 Article en page(s) : pp 202 - 216 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image SPOT 5
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] Leaf Area Index
[Termes IGN] Piton de la Fournaise (volcan)
[Termes IGN] propriété diélectrique
[Termes IGN] Réunion, île de la
[Termes IGN] volcanRésumé : (auteur) Interferometric Synthetic Aperture Radar (InSAR) is a powerful tool to monitor large-scale ground deformation at active volcanoes. However, vegetation and pyroclastic deposits degrade the radar coherence and therefore the measurement of 3-D surface displacements. In this article, we explore the complementarity between ALOS–PALSAR coherence images, airborne LiDAR data and in situ measurements acquired over the Piton de La Fournaise volcano (Reunion Island, France) to determine the sources of errors that may affect repeat-pass InSAR measurements. We investigate three types of surfaces: terrains covered with vegetation, lava flows (a′a, pahoehoe or slabby pahoehoe lava flows) and pyroclastic deposits (lapilli). To explain the loss of coherence observed over the Dolomieu crater between 2008 and 2009, we first use laser altimetry data to map topographic variations. The LiDAR intensity, which depends on surface reflectance, also provides ancillary information about the potential sources of coherence loss. In addition, surface roughness and rock dielectric properties of each terrain have been determined in situ to better understand how electromagnetic waves interact with such media: rough and porous surfaces, such as the a′a lava flows, produce a higher coherence loss than smoother surfaces, such as the pahoehoe lava flows. Variations in dielectric properties suggest a higher penetration depth in pyroclasts than in lava flows at L-band frequency. Decorrelation over the lapilli is hence mainly caused by volumetric effects. Finally, a map of LAI (Leaf Area Index) produced using SPOT 5 imagery allows us to quantify the effect of vegetation density: radar coherence is negatively correlated with LAI and is unreliable for values higher than 7.5. Numéro de notice : A2014-812 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2014.06.011 Date de publication en ligne : 11/07/2014 En ligne : https://doi.org/10.1016/j.rse.2014.06.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89039
in Remote sensing of environment > vol 152 (September 2014) . - pp 202 - 216[article]A structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 2 (September 2014)
[article]
Titre : A structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data Type de document : Article/Communication Auteurs : Z. Wang, Auteur ; L. Zhang, Auteur ; Tian Fang, Auteur Année de publication : 2014 Article en page(s) : pp 5653 - 5669 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] optimisation (mathématiques)
[Termes IGN] reconstruction 3DRésumé : (Auteur) A 3-D tree structure plays an important role in many scientific fields, including forestry and agriculture. For example, terrestrial laser scanning (TLS) can efficiently capture high-precision 3-D spatial arrangements and structure of trees as a point cloud. In the past, several methods to reconstruct 3-D trees from the TLS point cloud were proposed. However, in general, they fail to process incomplete TLS data. To address such incomplete TLS data sets, a new method that is based on a structure-aware global optimization approach (SAGO) is proposed. The SAGO first obtains the approximate tree skeleton from a distance minimum spanning tree (DMst) and then defines the stretching directions of the branches on the tree skeleton. Based on these stretching directions, the SAGO recovers missing data in the incomplete TLS point cloud. The DMst is applied again to obtain the refined tree skeleton from the optimized data, and the tree skeleton is smoothed by employing a Laplacian function. To reconstruct 3-D tree models, the radius of each branch section is estimated, and leaves are added to form the crown geometry. The developed methodology has been extensively evaluated by employing a dozen TLS point clouds of various types of trees. Both qualitative and quantitative performance evaluation results have indicated that the SAGO is capable of effectively reconstructing 3-D tree models from grossly incomplete TLS point clouds with significant amounts of missing data. Numéro de notice : A2014-440 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2291815 En ligne : https://ieeexplore.ieee.org/document/6693725 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74171
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 9 Tome 2 (September 2014) . - pp 5653 - 5669[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014091B RAB Revue Centre de documentation En réserve L003 Disponible Utilisation de la 3D à Metz-métropole (2) / Thomas Dalstein in Géomatique expert, n° 100 (01/09/2014)
[article]
Titre : Utilisation de la 3D à Metz-métropole (2) Type de document : Article/Communication Auteurs : Thomas Dalstein, Auteur Année de publication : 2014 Article en page(s) : pp 28 - 43 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] BD Topo
[Termes IGN] données lidar
[Termes IGN] format d'échange
[Termes IGN] géomatique
[Termes IGN] hauteur du bâti
[Termes IGN] réalité augmentée
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] système d'information géographique
[Termes IGN] système d'information urbain
[Termes IGN] TerraExplorer
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Deuxième partie de la présentation des méthodes et applications liées à la 3D dans l'agglomération de la préfecture mosellane. Numéro de notice : A2014-353 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73750
in Géomatique expert > n° 100 (01/09/2014) . - pp 28 - 43[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 265-2014051 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P001615 GEO Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Combining hyperspectral and Lidar data for vegetation mapping in the Florida Everglades / Caiyun Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 8 (August 2014)
[article]
Titre : Combining hyperspectral and Lidar data for vegetation mapping in the Florida Everglades Type de document : Article/Communication Auteurs : Caiyun Zhang, Auteur Année de publication : 2014 Article en page(s) : pp. 733 - 743 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] cartographie thématique
[Termes IGN] données lidar
[Termes IGN] Floride (Etats-Unis)
[Termes IGN] image hyperspectrale
[Termes IGN] marais
[Termes IGN] semis de points
[Termes IGN] traitement d'image
[Termes IGN] végétationRésumé : (Auteur)This study explored a combination of hyperspectral and lidar systems for vegetation mapping in the Florida Everglades. A framework was designed to integrate two remotely sensed datasets and four data processing techniques. Lidar elevation and intensity features were extracted from the original point cloud data to avoid the errors and uncertainties in the raster-based lidar methods. Lidar significantly increased the classification accuracy compared with the application of hyperspectral data alone. Three lidar-derived features (elevation, intensity, and topography) had the same contributions in the classification. A synergy of hyperspectral imagery with all lidar-derived features achieved the best result with an overall accuracy of 86 percent and a Kappa value of 0.82 based on an ensemble analysis of three machine learning classifiers. Ensemble analysis did not significantly increase the classification accuracy, but it provided a complementary uncertainty map for the final classified map. The study shows the promise of the synergy of hyperspectral and lidar systems for mapping complex wetlands. Numéro de notice : A2014-344 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.8.733 En ligne : https://doi.org/10.14358/PERS.80.8.733 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73717
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 8 (August 2014) . - pp. 733 - 743[article]Estimation of the timber quality of scots pine with terrestrial laser scanning / Ville Kankare in Forests, vol 5 n° 8 (August 2014)PermalinkMapping fuels at the wildland-urban interface using colour ortho-images and Lidar data / Melissa F. Rosa in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkAutomatic representation and reconstruction of DBM from LiDAR data using Recursive Minimum Bounding Rectangle / Eunju Kwak in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)PermalinkGround and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces / Domen Mongus in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)PermalinkL'intégration du scanner 3D dans la technologie BIM / Maxime Romain De La Touche in Géomatique expert, n° 99 (01/07/2014)PermalinkRecalage rigide de relevés laser par mise en correspondance robuste basée sur des segments / Martyna Poreba in Revue Française de Photogrammétrie et de Télédétection, n° 207 (Juillet 2014)PermalinkAssessing tree dendrometrics in young regenerating plantations using terrestrial laser scanning / Ying Li in Annals of Forest Science, vol 71 n° 4 (June 2014)PermalinkCartographie du risque d'inondation : réévaluation de la géomatique par rapport à l'hydraulique / Amaury Valorge in Géomatique expert, n° 98 (01/06/2014)PermalinkUrban-Tree-Attribute update using multisource single-tree inventory / Ninni Saarinen in Forests, vol 5 n° 5 (May 2014)PermalinkBayesian approach to tree detection based on airborne laser scanning data / Timo Lähivaara in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)Permalink