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An experimental framework for integrating citizen and community science into land cover, land use, and land change detection processes in a national mapping agency / Ana-Maria Olteanu-Raimond in Land, vol 7 n° 3 (September 2018)  

Public [article]  inLand > vol 7 n° 3 (September 2018) Titre : An experimental framework for integrating citizen and community science into land cover, land use, and land change detection processes in a national mapping agency Type de document : Article/Communication Auteurs : Ana-Maria Olteanu-Raimond , Auteur ; Laurence Jolivet , Auteur ; Marie-Dominique Van Damme , Auteur ; Thimothée Royer, Auteur ; Ludovic Fraval, Auteur ; Linda M. See, Auteur ; Tobias Sturn, Auteur ; Mathias Karner, Auteur ; Inian Moorthy, Auteur ; Steffen Fritz, Auteur Année de publication : 2018 Projets : Landsense / Raimond, Ana-Maria Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] cartographie collaborative [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] Institut national de l'information géographique et forestière (France) [Termes descripteurs IGN] mise à jour de base de données [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] plateforme collaborative [Termes descripteurs IGN] production participative [Termes descripteurs IGN] science citoyenne [Termes descripteurs IGN] utilisation du sol Résumé : (auteur) Accurate and up-to-date information on land use and land cover (LULC) is needed to develop policies on reducing soil sealing through increased urbanization as well as to meet climate targets. More detailed information about building function is also required but is currently lacking. To improve these datasets, the national mapping agency of France, Institut de l’Information Géographique et Foréstière (IGN France), has developed a strategy for updating their LULC database on a update cycle every three years and building information on a continuous cycle using web, mobile, and wiki applications. Developed as part of the LandSense project and eventually tapping into the LandSense federated authentication system, this paper outlines the data collection campaigns, the key concepts that have driven the system architecture, and a description of the technologies developed for this solution. The campaigns have only just begun, so there are only preliminary results to date. Thus far, feedback on the web and mobile applications has been positive, but still requires a further demonstration of feasibility. Numéro de notice : A2018-385 Affiliation des auteurs : LaSTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/land7030103 date de publication en ligne : 04/09/2018 En ligne : https://doi.org/10.3390/land7030103 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90792 [article]

Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data / Giles M. Foody in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 3 (March 2018) Titre : Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data Type de document : Article/Communication Auteurs : Giles M. Foody, Auteur ; Linda M. See, Auteur ; Steffen Fritz, Auteur ; Inian Moorthy, Auteur ; Christoph Perger, Auteur ; Christian Schill, Auteur ; Doreen S. Boyd, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] cartographie collaborative [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] modèle de classe latente [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] pondération [Termes descripteurs IGN] précision de la classification Résumé : (Auteur) Simple consensus methods are often used in crowdsourcing studies to label cases when data are provided by multiple contributors. A basic majority vote rule is often used. This approach weights the contributions from each contributor equally but the contributors may vary in the accuracy with which they can label cases. Here, the potential to increase the accuracy of crowdsourced data on land cover identified from satellite remote sensor images through the use of weighted voting strategies is explored. Critically, the information used to weight contributions based on the accuracy with which a contributor labels cases of a class and the relative abundance of class are inferred entirely from the contributed data only via a latent class analysis. The results show that consensus approaches do yield a classification that is more accurate than that achieved by any individual contributor. Here, the most accurate individual could classify the data with an accuracy of 73.91% while a basic consensus label derived from the data provided by all seven volunteers contributing data was 76.58%. More importantly, the results show that weighting contributions can lead to a statistically significant increase in the overall accuracy to 80.60% by ignoring the contributions from the volunteer adjudged to be the least accurate in labelling. Numéro de notice : A2018-093 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7030080 date de publication en ligne : 25/02/2018 En ligne : https://doi.org/10.3390/ijgi7030080 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89505 [article]

Mapping and the citizen sensor / Giles M. Foody (2017)  

Public Titre : Mapping and the citizen sensor Type de document : Monographie Auteurs : Giles M. Foody, Editeur scientifique ; Linda M. See, Editeur scientifique ; Steffen Fritz, Editeur scientifique ; Peter Mooney, Editeur scientifique ; Ana-Maria Olteanu-Raimond , Editeur scientifique ; Cidália Costa Fonte, Editeur scientifique ; Vyron Antoniou, Editeur scientifique Editeur : Londres : Ubiquity press Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] cartographie [Termes descripteurs IGN] cartographie collaborative [Termes descripteurs IGN] citoyen [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] production participative Résumé : (auteur) Maps are a fundamental resource in a diverse array of applications ranging from everyday activities, such as route planning through the legal demarcation of space to scientific studies, such as those seeking to understand biodiversity and inform the design of nature reserves for species conservation. For a map to have value, it should provide an accurate and timely representation of the phenomenon depicted and this can be a challenge in a dynamic world. Fortunately, mapping activities have benefitted greatly from recent advances in geoinformation technologies. Satellite remote sensing, for example, now offers unparalleled data acquisition and authoritative mapping agencies have developed systems for the routine production of maps in accordance with strict standards. Until recently, much mapping activity was in the exclusive realm of authoritative agencies but technological development has also allowed the rise of the amateur mapping community. The proliferation of inexpensive and highly mobile and location aware devices together with Web 2.0 technology have fostered the emergence of the citizen as a source of data. Mapping presently benefits from vast amounts of spatial data as well as people able to provide observations of geographic phenomena, which can inform map production, revision and evaluation. The great potential of these developments is, however, often limited by concerns. The latter span issues from the nature of the citizens through the way data are collected and shared to the quality and trustworthiness of the data. This book reports on some of the key issues connected with the use of citizen sensors in mapping. It arises from a European Co-operation in Science and Technology (COST) Action, which explored issues linked to topics ranging from citizen motivation, data acquisition, data quality and the use of citizen derived data in the production of maps that rival, and sometimes surpass, maps arising from authoritative agencies. Numéro de notice : 17448 Affiliation des auteurs : IGN+Ext (avant 2012) Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.5334/bbf date de publication en ligne : 11/09/2017 En ligne : https://doi.org/10.5334/bbf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89336

Contient

• Mapping and the citizen sensor, ch 1. Mapping and the citizen sensor / Giles M. Foody (2017)  
• Mapping and the citizen sensor, ch 13. VGI in national mapping agencies: experiences and recommendations / Ana-Maria Olteanu-Raimond (2017)  
• Mapping and the citizen sensor, ch 4. Production of topographic maps with VGI: quality management and automation / Guillaume Touya (2017)  
• Mapping and the citizen sensor, ch 6. Considerations of privacy, ethics and legal issues in volunteered geographic information / Peter Mooney (2017)  
• Mapping and the citizen sensor, ch 10. The relevance of protocols for VGI collection / Marco Minghini (2017)  
• Mapping and the citizen sensor, ch 16. The future of VGI / Vyron Antoniou (2017)  

Mapping and the citizen sensor, ch 1. Mapping and the citizen sensor / Giles M. Foody (2017)  

Public contenu dans Mapping and the citizen sensor / Giles M. Foody (2017)   Titre de série : Mapping and the citizen sensor, ch 1 Titre : Mapping and the citizen sensor Type de document : Chapitre/Contribution Auteurs : Giles M. Foody, Auteur ; Steffen Fritz, Auteur ; Cidália Costa Fonte, Auteur ; Lucy Bastin, Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Peter Mooney, Auteur ; Linda M. See, Auteur ; Vyron Antoniou, Auteur ; Hai-Ying Liu, Auteur ; Marco Minghini, Auteur ; Rumiana Vatseva, Auteur Editeur : Londres : Ubiquity press Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] cartographie collaborative [Termes descripteurs IGN] citoyen Résumé : (auteur) The role of citizens in mapping has evolved considerably over the last decade. This chapter outlines the background to citizen sensing in mapping and sets the scene for the chapters that follow, which highlight some of the main outcomes of a collaborative programme of work to enhance the role of citizens in mapping. Numéro de notice : H2017-016 Affiliation des auteurs : IGN+Ext (avant 2012) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.5334/bbf.a date de publication en ligne : 11/09/2017 En ligne : https://doi.org/10.5334/bbf.a Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89335

Mapping and the citizen sensor, ch 10. The relevance of protocols for VGI collection / Marco Minghini (2017)  

Public contenu dans Mapping and the citizen sensor / Giles M. Foody (2017)   Titre de série : Mapping and the citizen sensor, ch 10 Titre : The relevance of protocols for VGI collection Type de document : Chapitre/Contribution Auteurs : Marco Minghini, Auteur ; Vyron Antoniou, Auteur ; Cidália Costa Fonte, Auteur ; Jacinto Estima, Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Linda M. See, Auteur ; Mari Laakso, Auteur ; Andriani Skopeliti, Auteur ; Peter Mooney, Auteur ; Jamal Jokar Arsanjani, Auteur ; Flavio Lupia, Auteur Editeur : Londres : Ubiquity press Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] acquisition de données [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] protocole [Termes descripteurs IGN] qualité des données Résumé : (auteur) Volunteered Geographic Information (VGI) has become a rich and well established source of geospatial data. From the popular OpenStreetMap (OSM) to many citizen science projects and social network platforms, the amount of geographically referenced information that is constantly being generated by citizens is burgeoning. The main issue that continues to hamper the full exploitation of VGI lies in its quality, which is by its nature typically undocumented and can range from very high quality to very poor. A crucial step towards improving VGI quality, which impacts on VGI usability, is the development and adoption of protocols, guidelines and best practices to assist users when collecting VGI. This chapter proposes a generic and flexible protocol for VGI data collection, which can be applied to new as well as to existing projects regardless of the specific type of geospatial information collected. The protocol is meant to balance the contrasting needs of providing VGI contributors with precise and detailed instructions while maintaining and growing the enthusiasm and motivation of contributors. Two real-world applications of the protocol are presented, which guide the collection of VGI in respectively the generation and updating of thematic information in a topographic building database; and the uploading of geotagged photographs for the improvement of land use and land cover maps. Technology is highlighted as a key factor in determining the success of the protocol implementation. Numéro de notice : H2017-020 Affiliation des auteurs : IGN+Ext (avant 2012) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.5334/bbf.j date de publication en ligne : 11/09/2017 En ligne : https://doi.org/10.5334/bbf.j Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89340

Mapping and the citizen sensor, ch 16. The future of VGI / Vyron Antoniou (2017)  

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Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information / Linda M. See in ISPRS International journal of geo-information, vol 5 n° 5 (May 2016)    

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Accurate attribute mapping from volunteered geographic information: issues of volunteer quantity and quality / Giles M. Foody in Cartographic journal (the), Vol 52 n° 4 (November 2015)

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VGI quality control / Cidália Costa Fonte in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-3 W5 (October 2015)    

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Building a hybrid land cover map with crowdsourcing and geographically weighted regression / Linda M. See in ISPRS Journal of photogrammetry and remote sensing, vol 103 (May 2015)  

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Assessing the accuracy of Volunteered Geographic Information arising from multiple contributors to an Internet based collaborative project / Giles M. Foody in Transactions in GIS, vol 17 n° 6 (December 2013)  

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A parcel shape index for use in land consolidation planning / Demetris Demetriou in Transactions in GIS, vol 17 n° 6 (December 2013)  

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An agent-based approach to simulating the dynamics of shifting cultivation in an upland village in Vietnam / T.A. Ngo in Revue internationale de géomatique, vol 19 n° 4 (décembre 2009 – février 2010)

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Comparison of land cover maps using fuzzy agreement / Steffen Fritz in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)

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