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Urban impervious surface estimation from remote sensing and social data / Yan Yu in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 12 (December 2018)
[article]
Titre : Urban impervious surface estimation from remote sensing and social data Type de document : Article/Communication Auteurs : Yan Yu, Auteur ; Jun Li, Auteur ; Changyu Zhu, Auteur ; Antonio J. Plaza, Auteur Année de publication : 2018 Article en page(s) : pp 771 - 780 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] base de données routières
[Termes IGN] Canton (Kouangtoung)
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] données vectorielles
[Termes IGN] Google Maps
[Termes IGN] image Landsat-8
[Termes IGN] image Landsat-OLI
[Termes IGN] OpenStreetMap
[Termes IGN] point d'intérêt
[Termes IGN] régression multiple
[Termes IGN] réseau routier
[Termes IGN] surface imperméable
[Termes IGN] zone urbaineRésumé : (auteur) We propose an inspiring approach for accurate impervious surface estimation based on the integration of remote sensing and social data. The proposed approach exploits the strengths of two kind of heterogeneous features, i.e., physical features and social features, where the former ones are derived by a morphological attribute profiles-guided spectral mixture analysis model using remote sensing imagery, and the latter ones are obtained from the normalized kernel density of point of interest and vector road datasets. These two features are then integrated using a multivariable linear regression model to estimate impervious surfaces. The proposed method has been tested in the main urban area of Guangzhou, China, in pixel level and parcel level, respectively. The obtained results, with the overall RMSE of 10.98% and 10.90% for pixel level and parcel level, respectively, demonstrate the good performance of integrating remote sensing imagery and social data for mapping of urban impervious surface. Numéro de notice : A2018-549 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.84.12.771 Date de publication en ligne : 01/12/2018 En ligne : https://doi.org/10.14358/PERS.84.12.771 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91622
in Photogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 12 (December 2018) . - pp 771 - 780[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2018121 RAB Revue Centre de documentation En réserve L003 Disponible Using Network Segments in the Visualization of Urban Isochrones / Jeff Allen in Cartographica, vol 53 n° 4 (Winter 2018)
[article]
Titre : Using Network Segments in the Visualization of Urban Isochrones Type de document : Article/Communication Auteurs : Jeff Allen, Auteur Année de publication : 2018 Article en page(s) : pp 262 - 270 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] accessibilité
[Termes IGN] carte de zones isochrones
[Termes IGN] cartographie urbaine
[Termes IGN] données localisées
[Termes IGN] données ouvertes
[Termes IGN] mobilité urbaine
[Termes IGN] OpenStreetMap
[Termes IGN] QGIS
[Termes IGN] réseau de transport
[Termes IGN] Toronto
[Termes IGN] transport urbain
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Since the early twentieth century, thematic mapping techniques such as isochrones have been used for visualizing the accessibility and mobility provided by urban transportation networks. These maps typically depict the area accessible from a point within a certain time or distance threshold. This article details a design alternative to conventional isochrones, which links travel times to network edges. Benefits of this technique include highlighting the network structure of transport networks and comparing travel times for different travel scenarios. This article details methods for producing these maps using free and open-source data and software and provides examples of visualizing different accessibility scenarios in Toronto, Canada. Numéro de notice : A2018-576 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Numéro de périodique DOI : 10.3138/cart.53.4.2018-0013 Date de publication en ligne : 20/02/2019 En ligne : https://doi.org/10.3138/cart.53.4.2018-0013 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92305
in Cartographica > vol 53 n° 4 (Winter 2018) . - pp 262 - 270[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2018041 SL Revue Centre de documentation Revues en salle Disponible On the spatial distribution of buildings for map generalization / Zhiwei Wei in Cartography and Geographic Information Science, Vol 45 n° 6 (November 2018)
[article]
Titre : On the spatial distribution of buildings for map generalization Type de document : Article/Communication Auteurs : Zhiwei Wei, Auteur ; Qingsheng Guo, Auteur ; Lin Wang, Auteur ; Fen Yan, Auteur Année de publication : 2018 Article en page(s) : pp 539 - 555 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse de groupement
[Termes IGN] analyse en composantes principales
[Termes IGN] arbre aléatoire minimum
[Termes IGN] bati
[Termes IGN] distribution spatiale
[Termes IGN] données localisées des bénévoles
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] OpenStreetMap
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Information on spatial distribution of buildings must be explored as part of the process of map generalization. A new approach is proposed in this article, which combines building classification and clustering to enable the detection of class differences within a pattern, as well as patterns within a class. To do this, an analysis of existing parameters describing building characteristics is performed via principal component analysis (PCA), and four major parameters (i.e. convex hull area, IPQ compactness, number of edges, and smallest minimum bounding rectangle orientation) are selected for further classification based on similarities between building characteristics. A building clustering method based on minimum spanning tree (MST) considering rivers and roads is then applied. Theory and experiments show that use of a relative neighbor graph (RNG) is more effective in detecting linear building patterns than either a nearest neighbor graph (NNG), an MST, or a Gabriel graph (GssG). Building classification and clustering are therefore conducted separately using experimental data extracted from OpenStreetMap (OSM), and linear patterns are then recognized within resultant clusters. Experimental results show that the approach proposed in this article is both reasonable and efficient for mining information on the spatial distribution of buildings for map generalization. Numéro de notice : A2018-480 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2018.1433068 Date de publication en ligne : 15/02/2018 En ligne : https://doi.org/10.1080/15230406.2018.1433068 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91258
in Cartography and Geographic Information Science > Vol 45 n° 6 (November 2018) . - pp 539 - 555[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2018061 RAB Revue Centre de documentation En réserve L003 Disponible Analyzing the effect of earthquakes on OpenStreetMap contribution patterns and tweeting activities / Ahmed Ahmouda in Geo-spatial Information Science, vol 21 n° 3 (October 2018)
[article]
Titre : Analyzing the effect of earthquakes on OpenStreetMap contribution patterns and tweeting activities Type de document : Article/Communication Auteurs : Ahmed Ahmouda, Auteur ; Hartwig H. Hochmair, Auteur ; Sreten Cvetojevic, Auteur Année de publication : 2018 Article en page(s) : pp 195 - 212 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] catastrophe naturelle
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] Italie
[Termes IGN] Népal
[Termes IGN] OpenStreetMap
[Termes IGN] séismeRésumé : (Auteur) Natural disasters, such as wildfires, earthquakes, landslides, or floods, lead to an increase in topical information shared on social media and in increased mapping activities in volunteered geographic information (VGI) platforms. Using earthquakes in Nepal and Central Italy as case studies, this research analyzes the effects of natural disasters on short-term (weeks) and longer-term (half year) changes in OpenStreetMap (OSM) mapping behavior and tweet activities in the affected regions. An increase of activities in OSM during the events can be partially attributed to those focused OSM mapping campaigns, for example, through the Humanitarian OSM Team (HOT). Using source tags in OSM change-sets, it was found that only a small portion of external mappers actually travels to the affected regions, whereas the majority of external mappers relies on desktop mapping instead. Furthermore, the study analyzes the spatio-temporal sequence of posted tweets together with keyword filters to identify a subset of users who most likely traveled to the affected regions for support and rescue operations. It also explores where, geographically, earthquake information spreads within social networks. Numéro de notice : A2018-643 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2018.1498666 Date de publication en ligne : 27/07/2018 En ligne : https://doi.org/10.1080/10095020.2018.1498666 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93310
in Geo-spatial Information Science > vol 21 n° 3 (October 2018) . - pp 195 - 212[article]OpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project / Amin Mobasheri in Geo-spatial Information Science, vol 21 n° 3 (October 2018)
[article]
Titre : OpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project Type de document : Article/Communication Auteurs : Amin Mobasheri, Auteur ; Alexander Zipf, Auteur ; Louise Francis, Auteur Année de publication : 2018 Article en page(s) : pp 234 - 246 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] accessibilité
[Termes IGN] données localisées des bénévoles
[Termes IGN] enrichissement sémantique
[Termes IGN] Europe (géographie politique)
[Termes IGN] exhaustivité des données
[Termes IGN] handicap
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des données
[Termes IGN] segmentation sémantique
[Termes IGN] villeRésumé : (Auteur) Nowadays, several research projects show interest in employing volunteered geographic information (VGI) to improve their systems through using up-to-date and detailed data. The European project CAP4Access is one of the successful examples of such international-wide research projects that aims to improve the accessibility of people with restricted mobility using crowdsourced data. In this project, OpenStreetMap (OSM) is used to extend OpenRouteService, a well-known routing platform. However, a basic challenge that this project tackled was the incompleteness of OSM data with regards to certain information that is required for wheelchair accessibility (e.g. sidewalk information, kerb data, etc.). In this article, we present the results of initial assessment of sidewalk data in OSM at the beginning of the project as well as our approach in awareness raising and using tools for tagging accessibility data into OSM database for enriching the sidewalk data completeness. Several experiments have been carried out in different European cities, and discussion on the results of the experiments as well as the lessons learned are provided. The lessons learned provide recommendations that help in organizing better mapping party events in the future. We conclude by reporting on how and to what extent the OSM sidewalk data completeness in these study areas have benefited from the mapping parties by the end of the project. Numéro de notice : A2018-645 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2018.1493817 Date de publication en ligne : 21/09/2018 En ligne : https://doi.org/10.1080/10095020.2018.1493817 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93315
in Geo-spatial Information Science > vol 21 n° 3 (October 2018) . - pp 234 - 246[article]Spatial discontinuities, health and mobility - What do the Google's POIs and tweets tell us about Bangkok's (Thailand) structures and spatial dynamics? / Alexandre Cebeillac in Revue internationale de géomatique, vol 28 n° 4 (octobre - décembre 2018)PermalinkA framework for annotating OpenStreetMap objects using geo-tagged tweets / Xin Chen in Geoinformatica, vol 22 n° 3 (July 2018)PermalinkThe life cycle of contributors in collaborative online communities -the case of OpenStreetMap / Daniel Begin in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)PermalinkModeling aggregated expertise of user contributions to assess the credibility of OpenStreetMap features / Bani Idham Muttaqien in Transactions in GIS, vol 22 n° 3 (June 2018)PermalinkMeasured and perceived visual complexity : a comparative study among three online map providers / Susan Schnur in Cartography and Geographic Information Science, Vol 45 n° 3 (May 2018)PermalinkAn efficient visualization method for polygonal data with dynamic simplification / Mingguang Wu in ISPRS International journal of geo-information, vol 7 n° 4 (April 2018)PermalinkA geovisual analytics exploration of the OpenStreetMap crowd / Sterling Quinn in Cartography and Geographic Information Science, Vol 45 n° 2 (March 2018)PermalinkGraph-based matching of points-of-interest from collaborative geo-datasets / Tessio Novack in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)PermalinkA grounding-based ontology of data quality measures / Franz-Benjamin Mocnik in Journal of Spatial Information Science (JoSIS), n° 16 ([01/02/2018])PermalinkAnalyse du comportement des contributeurs dans l’Information Géographique Volontaire via la construction de réseaux sociaux / Quy Thy Truong (2018)PermalinkPermalinkExploring the relationship between density and completeness of urban building data in OpenStreetMap for quality estimation / Qi Zhou in International journal of geographical information science IJGIS, vol 32 n° 1-2 (January - February 2018)PermalinkQue reste-t-il de Friday Harbor ? Pour une approche critique renouvelée des usages du géoweb fondée sur l’analyse des traces numériques / Matthieu Noucher in Revue internationale de géomatique, vol 28 n° 1 (janvier - mars 2018)PermalinkPermalinkTowards vandalism detection in OpenStreetMap through a data driven approach [short paper] / Quy Thy Truong (2018)PermalinkLe vandalisme dans l’information géographique volontaire : apprendre pour mieux détecter ? / Quy Thy Truong (2018)PermalinkOpen land cover from OpenStreetMap and remote sensing / Michael Schultz in International journal of applied Earth observation and geoinformation, vol 63 (December 2017)PermalinkUne chaîne de données pour évaluer la qualité des données OSM. Partie 1 : Extraction des données et description / Damien Garaud in Géomatique expert, n° 117 (juillet - août 2017)PermalinkRipe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions / Stephen Maguire in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)PermalinkState of the map 2017 / Vincent Habchi in Géomatique expert, n° 117 (juillet - août 2017)PermalinkEstimating the spatial distribution, extent and potential lignocellulosic biomass supply of Trees Outside Forests in Baden-Wuerttemberg using airborne LiDAR and OpenStreetMap data / Joachim Maack in International journal of applied Earth observation and geoinformation, vol 58 (June 2017)PermalinkVincent de Château-Thierry, Vice-président OSM France / Anonyme in Géomatique expert, n° 116 (mai - juin 2017)PermalinkA method for matching crowd-sourced and authoritative geospatial data / Heshan Du in Transactions in GIS, vol 21 n° 2 (April 2017)PermalinkAssessing crowdsourced POI quality: combining methods based on reference data, history, and spatial relations / Guillaume Touya in ISPRS International journal of geo-information, vol 6 n° 3 (March 2017)PermalinkCompleteness of citizen science biodiversity data from a volunteered geographic information perspective / Clemens Jacobs in Geo-spatial Information Science, vol 20 n° 1 (March 2017)PermalinkBuilding social networks in volunteered geographic information communities: What contributor behaviours reveal about crowdsourced data quality / Quy Thy Truong (2017)PermalinkCitizen empowered mapping, ch. 1. Level of details harmonization operations in OpenStreetMap based large scale maps / Guillaume Touya (2017)PermalinkElaboration d'outils d'analyse en vue d'optimiser les collectes de sang pour les segments grand public et professionnel / Séverine Fougeirol (2017)PermalinkEnhancing building footprints with squaring operations / Imran Lokhat in Journal of Spatial Information Science (JoSIS), n° 13 (September 2016)PermalinkNovel tool for examination of data completeness based on a comparative study of VGI data and official building datasets / Joanna Nowak Da Costa in Geodetski vestnik, vol 60 n° 3 (September - November 2016)PermalinkEnriching and improving the quality of linked data with GIS / Adam Iwaniak in Open geosciences, vol 8 n° 1 (January - July 2016)PermalinkA geolinguistic approach for comprehending local influence in OpenStreetMap / Sterling Quinn in Cartographica, vol 51 n° 2 (Summer 2016)PermalinkModel application for rapid detection of the exact location when calling an ambulance using OGC Open GeoSMS Standards / Enes Sukic in Open geosciences, vol 8 n° 1 (January - July 2016)PermalinkOpen help / Paul Stewart in GEO: Geoconnexion international, vol 15 n° 6 (June 2016)PermalinkQualitative spatial logics for buffered geometries / Heshan Du in Journal of Artificial Intelligence Research, vol 56 (May - August 2016)PermalinkLe collaboratif s'impose / Françoise de Blomac in DécryptaGéo le mag, n° 175 (mars 2016)PermalinkAutomatic geolocation correction of satellite imagery / Ozge C. Ozcanli in International journal of computer vision, vol 116 n° 3 (February 2016)PermalinkPermalinkEuropean handbook of crowdsourced geographic information, ch. 14. Querying VGI by semantic enrichment / Robert Lemmens (2016)PermalinkEuropean handbook of crowdsourced geographic information, ch. 8. Quality analysis of the Parisian OSM toponyms evolution / Vyron Antoniou (2016)PermalinkAn exploration of future patterns of the contributions to OpenStreetMap and development of a contribution index / Jamal Jokar Arsanjani in Transactions in GIS, vol 19 n° 6 (December 2015)PermalinkLa carte numérique du Congo, ou comment l'envie de camper le week-end nous a conduits à publier la première carte numérique du pays / Séverine Fabre in XYZ, n° 145 (décembre 2015 - février 2016)PermalinkConceptualising the geographic world: the dimensions of negotiation in crowdsourced cartography / Andrea Ballatore in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)PermalinkEnrichissement automatique et généralisation de réseaux ferrés / Guillaume Touya in Cartes & Géomatique, n° 226 (décembre 2015)PermalinkOpenEventMap: A volunteered location-based service / Katereh Polous in Cartographica, vol 50 n° 4 (Winter 2015)Permalink