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Auteur Steffen Fritz |
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Affiner la recherche Interroger des sources externesAn 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)
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 Année de publication : 2018 Projets : Landsense / Raimond, Ana-Maria Article en page(s) : n° 103 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] cartographie collaborative
[Termes IGN] détection de changement
[Termes IGN] données localisées des bénévoles
[Termes IGN] Institut national de l'information géographique et forestière (France)
[Termes IGN] mise à jour de base de données
[Termes IGN] occupation du sol
[Termes IGN] plateforme collaborative
[Termes IGN] production participative
[Termes IGN] science citoyenne
[Termes IGN] utilisation du solRésumé : (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
in Land > vol 7 n° 3 (September 2018) . - n° 103[article]
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 IGN] cartographie collaborative
[Termes IGN] données localisées des bénévoles
[Termes IGN] modèle de classe latente
[Termes IGN] occupation du sol
[Termes IGN] pondération
[Termes IGN] précision de la classificationRésumé : (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
in ISPRS International journal of geo-information > vol 7 n° 3 (March 2018)[article]
Titre : Mapping and the citizen sensor Type de document : Monographie Auteurs : Giles M. Foody, Éditeur scientifique ; Linda M. See, Éditeur scientifique ; Steffen Fritz, Éditeur scientifique ; Peter Mooney, Éditeur scientifique ; Ana-Maria Olteanu-Raimond Editeur : Londres : Ubiquity press Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] cartographie
[Termes IGN] cartographie collaborative
[Termes IGN] citoyen
[Termes IGN] données localisées des bénévoles
[Termes IGN] production participativeRésumé : (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 : LASTIG COGIT+Ext (2012-2019) 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
- 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)
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 Editeur : Londres : Ubiquity press Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] cartographie collaborative
[Termes IGN] citoyenRésumé : (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 : LASTIG COGIT+Ext (2012-2019) 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
Titre de série : Mapping and the citizen sensor, ch 16 Titre : The future of VGI Type de document : Chapitre/Contribution Auteurs : Vyron Antoniou, Auteur ; Linda M. See, Auteur ; Giles M. Foody, Auteur ; Cidália Costa Fonte, Auteur ; Peter Mooney, Auteur ; Lucy Bastin, Auteur ; Steffen Fritz, Auteur ; Hai-Ying Liu, Auteur ; Ana-Maria Olteanu-Raimond Editeur : Londres : Ubiquity press Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] cartographie collaborative
[Termes IGN] citoyen
[Termes IGN] société de l'informationRésumé : (auteur) In this final chapter, we speculate on future developments in the field of Volunteered Geographic Information (VGI); we focus on how VGI will be affected by future technological developments, but we also consider issues such as VGI quality, the relationship of VGI with science and citizens, and the impact of VGI in future cities and societies. Numéro de notice : H2017-021 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.5334/bbf.p Date de publication en ligne : 11/09/2017 En ligne : https://doi.org/10.5334/bbf.p Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89341 
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