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ALEGORIA: Joint multimodal search and spatial navigation into the geographic iconographic heritage / Florent Geniet (2022)  

Public Titre : ALEGORIA: Joint multimodal search and spatial navigation into the geographic iconographic heritage Type de document : Article/Communication Auteurs : Florent Geniet, Auteur ; Valérie Gouet-Brunet , Auteur ; Mathieu Brédif , Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2022 Projets : Alegoria / Gouet-Brunet, Valérie Conférence : MM 2022, 30th ACM International Conference on Multimedia 10/10/2022 14/10/2022 Lisbonne Portugal Proceedings ACM Importance : pp 6982 - 6984 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] géolocalisation [Termes IGN] image ancienne [Termes IGN] moteur de recherche [Termes IGN] photographie aérienne oblique [Termes IGN] plateforme logicielle [Termes IGN] visualisation 3D Résumé : (auteur) In this article, we present two online platforms developed for the structuring and valorization of old geographical iconographic collections: a multimodal search engine for their indexing, retrieval and interlinking, and a 3D navigation platform for their visualization in spatial context. In particular, we show how the joint use of these functionalities, guided by geolocation, brings structure and knowledge to the manipulated collections. In the demonstrator, they consist of 54,000 oblique aerial photographs from several French providers (national archives, a museum and a mapping agency). Numéro de notice : C2022-042 Affiliation des auteurs : UGE-LASTIG (2020- ) Autre URL associée : vers HAL Thématique : GEOMATIQUE/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1145/3503161.3547746 Date de publication en ligne : 10/10/2022 En ligne : https://doi.org/10.1145/3503161.3547746 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101906

Individual internet usage and the availability of online content of local interest: A multilevel approach / Emmanouil Tranos in Computers, Environment and Urban Systems, vol 79 (January 2020)  

Public [article]  inComputers, Environment and Urban Systems > vol 79 (January 2020) Titre : Individual internet usage and the availability of online content of local interest: A multilevel approach Type de document : Article/Communication Auteurs : Emmanouil Tranos, Auteur ; Chrisotph Stich, Auteur Année de publication : 2020 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information [Termes IGN] accès aux données localisées [Termes IGN] cognition [Termes IGN] diffusion par internet [Termes IGN] moteur de recherche [Termes IGN] observation multiniveaux [Termes IGN] site web [Termes IGN] système d'archivage [Termes IGN] toile d'araignée mondiale Résumé : (Auteur) This paper illustrates whether the availability of online content of local interest affects the likelihood of individuals to connect to the internet and spend more time online. While the literature demonstrates a number of factors which push or enable individuals to spend more time online, we know little about the conditions that pull or attract individuals online. Although we know that individuals use the internet to access information, we do not know whether such attraction forces are relevant at the local scale too. Gaining a better understanding of how such mechanisms work at the local scale can assist our efforts to bridge digital divides, which tend to be geographically clustered. To explore this we utilise innovative data, which contain all the archived webpages under the UK top level domain name (.uk) and we calculate the volume of internet content of local interest at the neighbourhood level using the geolocation information included in the text of these webpages. Specifically, we calculate the radius of gyration for every archived website using the different postcodes included in the archived webpages and then we create an aggregated measure at the neighbourhood level discounting websites that have less of a local focus. We merge this measure of Local Internet Content (LIC) with a large population survey, which contains information about the frequency of internet usage in the UK and estimate the effect of LIC on the likelihood of an individual being a frequent internet user. Multilevel models are employed to utilise both individual and geographical level characteristics. Our results indicate that even after controlling for the individual and geographical characteristics, which according to previous studies affect internet usage, the availability of internet content of local interest still attracts individuals online. Numéro de notice : A2020-001 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.compenvurbsys.2019.101371 Date de publication en ligne : 18/09/2019 En ligne : https://doi.org/10.1016/j.compenvurbsys.2019.101371 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93620 [article]

Google Earth Engine applications / Lalit Kumar (2019)  

Public Titre : Google Earth Engine applications Type de document : Monographie Auteurs : Lalit Kumar, Éditeur scientifique ; Onisimo Mutanga, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 420 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03897-885-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] base de données d'images [Termes IGN] Google Earth Engine [Termes IGN] image 3D [Termes IGN] image aérienne [Termes IGN] image satellite [Termes IGN] information géographique numérique [Termes IGN] informatique en nuage [Termes IGN] moteur de recherche [Termes IGN] surveillance écologique [Termes IGN] système d'information environnementale [Termes IGN] traitement de données localisées Résumé : (éditeur) In a rapidly changing world, there is an ever-increasing need to monitor the Earth's resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth's surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales. Note de contenu : 1- Google Earth Engine applications since inception: usage, trends, and potential 2- Global estimation of biophysical variables from Google Earth Engine platform 3- An operational before-after-control-impact (BACI) designed platform for vegetation monitoring at planetary scale 4- Mapping vegetation and land use types in Fanjingshan national nature reserve using Google Earth Engine 5- A dynamic Landsat derived Normalized Difference Vegetation Index (NDVI) product for the conterminous United States 6- High spatial resolution visual band imagery outperforms medium resolution spectral imagery for ecosystem assessment in the semi-arid Brazilian Sert˜ao 7- Assessing the spatial and occupation dynamics of the Brazilian pasturelands based on the automated classification of MODIS images from 2000 to 2016 8- Towards global-scale seagrass mapping and monitoring using Sentinel-2 on Google Earth Engine: The case study of the Aegean and Ionian Seas 9- BULC-U: Sharpening resolution and improving accuracy of land-use/land-cover classifications in Google Earth Engine 10- Monitoring the impact of land cover change on surface urban heat island through Google Earth Engine: Proposal of a global methodology, first applications and problems 11- Regional crop gross primary productivity and yield estimation using fused Landsat-MODIS data 12- The first wetland inventory map of Newfoundland at a spatial resolution of 10 m using Sentinel-1 and Sentinel-2 data on the Google Earth Engine cloud computing platform 13- A cloud-based multi-temporal ensemble classifier to map smallholder farming systems 14- Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth Engine 15- SnowCloudHydro — A new framework for forecasting streamflow in snowy, data-scarce regions 16- Flood prevention and emergency response system powered by Google Earth Engine 17- Leveraging the Google Earth Engine for drought assessment using global soil moisture data 18- Multitemporal cloud masking in the Google Earth Engine 19- Historical and operational monitoring of surface sediments in the lower Mekong basin using Landsat and Google Earth Engine cloud computing 20- Mapping mining areas in the Brazilian Amazon using MSI/Sentinel-2 imagery (2017) 21- Estimating satellite-derived bathymetry (SDB) with the Google Earth Engine and Sentinel-2 22- Mean composite fire severity metrics computed with Google Earth Engine offer improved accuracy and expanded mapping potential Numéro de notice : 25887 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Monographie DOI : 10.3390/books978-3-03897-885-5 En ligne : https://doi.org/10.3390/books978-3-03897-885-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95788

Combination of image descriptors for the exploration of cultural photographic collections / Neelanjan Bhowmik in Journal of Electronic Imaging, vol 26 n° 1 (January - February 2017)  

Public [article]  inJournal of Electronic Imaging > vol 26 n° 1 (January - February 2017) . - pp 1 - 13 Titre : Combination of image descriptors for the exploration of cultural photographic collections Type de document : Article/Communication Auteurs : Neelanjan Bhowmik , Auteur ; Valérie Gouet-Brunet , Auteur ; Gabriel Bloch, Auteur ; Sylvain Besson, Auteur Année de publication : 2017 Projets : POEME / Da Silva, Jean-Claude Article en page(s) : pp 1 - 13 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données d'images [Termes IGN] classification barycentrique [Termes IGN] collection [Termes IGN] fusion de données [Termes IGN] image numérisée [Termes IGN] moteur de recherche [Termes IGN] patrimoine culturel [Termes IGN] régression [Termes IGN] web des données Résumé : (Auteur) The rapid growth of image digitization and collections in recent years makes it challenging and burdensome to organize, categorize, and retrieve similar images from voluminous collections. Content-based image retrieval (CBIR) is immensely convenient in this context. A considerable number of local feature detectors and descriptors are present in the literature of CBIR. We propose a model to anticipate the best feature combinations for image retrieval-related applications. Several spatial complementarity criteria of local feature detectors are analyzed and then engaged in a regression framework to find the optimal combination of detectors for a given dataset and are better adapted for each given image; the proposed model is also useful to optimally fix some other parameters, such as the k in k-nearest neighbor retrieval. Three public datasets of various contents and sizes are employed to evaluate the proposal, which is legitimized by improving the quality of retrieval notably facing classical approaches. Finally, the proposed image search engine is applied to the cultural photographic collections of a French museum, where it demonstrates its added value for the exploration and promotion of these contents at different levels from their archiving up to their exhibition in or ex situ. Numéro de notice : A2017-189 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1117/1.JEI.26.1.011019 Date de publication en ligne : 19/12/2016 En ligne : http://dx.doi.org/10.1117/1.JEI.26.1.011019 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84799 [article]

How readers discover content in scholarly publications / Tracy Gardner (2016) 

Public Titre : How readers discover content in scholarly publications Type de document : Monographie Auteurs : Tracy Gardner, Auteur ; Simon Inger, Auteur Editeur : Abingdon [Royaume-Uni] : Renew Training Année de publication : 2016 Importance : 66 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-0-9573920-4-5 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Documentation [Termes IGN] chercheur [Termes IGN] édition en libre accès [Termes IGN] moteur de recherche [Termes IGN] recherche d'information [Termes IGN] recherche documentaire Résumé : (auteur) [introduction] This report is the output of a large-scale survey of readers of scholarly publications (n=40439) and their behaviour in the discovery of journal articles and online books. The survey was conducted during October, November, and December of 2015. While usage statistics and analytics gathered by publishers, libraries and intermediaries can give us a partial view of discovery behaviour, there are many gaps in the knowledge that these can provide which we have endeavoured to fill by asking readers what tools they use in discovery. Note de contenu : 1. Introduction 2. Headline Findings 3. Search 4. Other Methods of Discovery 5. Delivery Sites for Journal Articles 6. Mobile Devices and Apps 7. Journal Web Site Features 8. Methodology 9. Demographics 10. Conclusions Numéro de notice : 17029 Affiliation des auteurs : non IGN Thématique : SOCIETE NUMERIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80875

Voir aussi

• Free cheers for content discovery? / Tracy Gardner in Research information, n° 84 (June - July 2016) 

Documents numériques

en open access How readers discover content Adobe Acrobat PDF

Analyzing relatedness by toponym co-occurrences on web pages / Yu Liu in Transactions in GIS, vol 18 n° 1 (February 2014)  

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Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election / Ming-Hsiang Tsou in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)  

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Use of grid computing modeling virtual geospatial products / A. Chen in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)  

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Joomla / MosaÏque informatique (2009)

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Joomla! Un livre simple, clair et drôle pour découvrir Joomla! / Steven Holzner (2009)

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Vers la diffusion en ligne d’information géographique sur mesure / Bénédicte Bucher (2009)    

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Le projet européen SPIRIT : un moteur de recherche géographique d'information sur le Web / Bénédicte Bucher in Bulletin d'information scientifique et technique de l'IGN, n° 76 (décembre 2008)

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Modelling vague places with knowledge from the Web / Christopher B. Jones in International journal of geographical information science IJGIS, vol 22 n° 10 (october 2008)  

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The design and implementation of spirit: a spatially aware search engine for information retrieval on the Internet / Ross S. Purves in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)  

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Découverte de services basée sur leurs protocoles de conversation / J.C. Corrales in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 12 n° 1 (janvier - février 2007)

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