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Affiner la recherche Interroger des sources externesMapping and the citizen sensor, ch 6. Considerations of privacy, ethics and legal issues in volunteered geographic information / Peter Mooney (2017)
Titre de série : Mapping and the citizen sensor, ch 6 Titre : Considerations of privacy, ethics and legal issues in volunteered geographic information Type de document : Chapitre/Contribution Auteurs : Peter Mooney, 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 descripteurs IGN] données localisées des bénévoles
[Termes descripteurs IGN] droit
[Termes descripteurs IGN] éthique
[Termes descripteurs IGN] protection de la vie privéeRésumé : (auteur) Today almost any kind of User Generated Content (UGC) can be situated within a geographic context. Volunteered Geographic Information (VGI) can include many types of UGC, such as georeferenced photographs, social media and text, geographic data themselves, etc. There are legal, privacy and ethical issues raised by VGI, and at present these are not very well studied or understood despite the rise in popularity of VGI. This chapter will discuss, investigate and define some of the most prominent issues related to the legal, privacy and ethics topic within VGI. The chapter argues that these issues are not well understood by all of the actors in VGI, and in particular by the producers of this information as well as the users or consumers of this new data source. Creating a better understanding of these issues will be very important in the future development and evolution of VGI in society. Numéro de notice : H2017-019 Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.5334/bbf.f date de publication en ligne : 11/09/2017 En ligne : https://doi.org/10.5334/bbf.f Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89339 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)
Titre : Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information Type de document : Article/Communication Auteurs : Linda M. See, Auteur ; Peter Mooney, Auteur ; Giles M. Foody, Auteur ; Lucy Bastin, Auteur ; Alexis Comber, Auteur ; Jacinto Estima, Auteur ; Steffen Fritz, Auteur ; Norman Kerle, Auteur ; Bin Jiang, Auteur ; Mari Laakso, Auteur ; Hai-Ying Liu, Auteur ; Grega Milčinski, Auteur ; Matej Nikšič, Auteur ; Marco Painho, Auteur ; Andrea Pődör, Auteur ; Ana-Maria Olteanu-Raimond Année de publication : 2016 Article en page(s) : pp 1 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes descripteurs IGN] analyse du discours
[Termes descripteurs IGN] cartographie collaborative
[Termes descripteurs IGN] citoyen
[Termes descripteurs IGN] données localisées des bénévoles
[Termes descripteurs IGN] état de l'art
[Termes descripteurs IGN] participation du public
[Termes descripteurs IGN] production participative
[Termes descripteurs IGN] science citoyenne
[Termes descripteurs IGN] terminologieRésumé : (Auteur) Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, there are a variety of terms used to describe data arising from citizens. In this article, the expressions used to describe citizen sensing of geographic information are reviewed and their use over time explored, prior to categorizing them and highlighting key issues in the current state of the subject. The latter involved a review of ~100 Internet sites with particular focus on their thematic topic, the nature of the data and issues such as incentives for contributors. This review suggests that most sites involve active rather than passive contribution, with citizens typically motivated by the desire to aid a worthy cause, often receiving little training. As such, this article provides a snapshot of the role of citizens in crowdsourcing geographic information and a guide to the current status of this rapidly emerging and evolving subject. Numéro de notice : A2016--119 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi5050055 En ligne : http://dx.doi.org/10.3390/ijgi5050055 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84782
in ISPRS International journal of geo-information > vol 5 n° 5 (May 2016) . - pp 1 - 23[article]Documents numériques
en open access
Crowdsourcing, Citizen Science or VGI ... - pdf éditeurAdobe Acrobat PDF
Titre : VGI quality control Type de document : Article/Communication Auteurs : Cidália Costa Fonte, Auteur ; Lucy Bastin, Auteur ; Giles M. Foody, Auteur ; Tobias Kellenberger, Auteur ; Norman Kerle, Auteur ; Peter Mooney, Auteur ; Ana-Maria Olteanu-Raimond Congrès : ISPRS Geospatial Week 2015 (28 septembre - 3 octobre 2015; La Grande Motte, France) Année de publication : 2015 Article en page(s) : pp 317 - 324 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes descripteurs IGN] acquisition de données
[Termes descripteurs IGN] contrôle qualité
[Termes descripteurs IGN] données localisées des bénévoles
[Termes descripteurs IGN] participation du public
[Termes descripteurs IGN] qualité des donnéesMots-clés libres : Volunteered Geographic Information (VGI), Data Quality, National Mapping Agency (NMA), Crowd-sourcing, Citizen Science Résumé : (auteur) This paper presents a framework for considering quality control of volunteered geographic information (VGI). Different issues need to be considered during the conception, acquisition and post-acquisition phases of VGI creation. This includes items such as collecting metadata on the volunteer, providing suitable training, giving corrective feedback during the mapping process and use of control data, among others. Two examples of VGI data collection are then considered with respect to this quality control framework, i.e. VGI data collection by National Mapping Agencies and by the most recent Geo-Wiki tool, a game called Cropland Capture. Although good practices are beginning to emerge, there is still the need for the development and sharing of best practice, especially if VGI is to be integrated with authoritative map products or used for calibration and/or validation of land cover in the future. Numéro de notice : A2015--055 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W5-317-2015 date de publication en ligne : 20/08/2015 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-W5-317-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83455
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > II-3 W5 (October 2015) . - pp 317 - 324[article]Documents numériques
en open access
VGI quality controlAdobe Acrobat PDF
Titre : Active learning in the spatial domain for remote sensing image classification Type de document : Article/Communication Auteurs : André Stumpf, Auteur ; Nicolas Lachiche, Auteur ; Jean-Philippe Malet, Auteur ; Norman Kerle, Auteur ; Anne Puissant, Auteur Année de publication : 2014 Article en page(s) : pp 2492 - 2507 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes descripteurs IGN] algorithme d'apprentissage
[Termes descripteurs IGN] analyse de sensibilité
[Termes descripteurs IGN] classification par arbre de décision
[Termes descripteurs IGN] incertitude des données
[Termes descripteurs IGN] inventaire
[Termes descripteurs IGN] méthode heuristique
[Termes descripteurs IGN] penteRésumé : (Auteur) Active learning (AL) algorithms have been proven useful in reducing the number of required training samples for remote sensing applications; however, most methods query samples pointwise without considering spatial constraints on their distribution. This may often lead to a spatially dispersed distribution of training points unfavorable for visual image interpretation or field surveys. The aim of this study is to develop region-based AL heuristics to guide user attention toward a limited number of compact spatial batches rather than distributed points. The proposed query functions are based on a tree ensemble classifier and combine criteria of sample uncertainty and diversity to select regions of interest. Class imbalance, which is inherent to many remote sensing applications, is addressed through stratified bootstrap sampling. Empirical tests of the proposed methods are performed with multitemporal and multisensor satellite images capturing, in particular, sites recently affected by large-scale landslide events. The assessment includes an experimental evaluation of the labeling time required by the user and the computational runtime, and a sensitivity analysis of the main algorithm parameters. Region-based heuristics that consider sample uncertainty and diversity are found to outperform pointwise sampling and region-based methods that consider only uncertainty. Reference landslide inventories from five different experts enable a detailed assessment of the spatial distribution of remaining errors and the uncertainty of the reference data. Numéro de notice : A2014-261 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2262052 date de publication en ligne : 12/07/2013 En ligne : https://doi.org/10.1109/TGRS.2013.2262052 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33164
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 5 tome 1 (May 2014) . - pp 2492 - 2507[article]Exemplaires (1)
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Titre : Disaster mapping 2.0 collaborating via GIS and geo-web-services Type de document : Article/Communication Auteurs : B. Kobben, Auteur ; L. Maiyo, Auteur ; Norman Kerle, Auteur Année de publication : 2009 Article en page(s) : pp 12 - 15 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes descripteurs IGN] approche participative
[Termes descripteurs IGN] cartographie des risques
[Termes descripteurs IGN] cartographie statistique
[Termes descripteurs IGN] coût
[Termes descripteurs IGN] dommage matériel
[Termes descripteurs IGN] risque naturel
[Termes descripteurs IGN] santé
[Termes descripteurs IGN] service web géographique
[Termes descripteurs IGN] système d'information géographiqueRésumé : (Auteur) There has been increase in the incidence of major disasters and the damage caused, in terms both of human suffering and economic cost. To mitigate the consequences, better post-disaster management tools are needed and GIS plays a major role here. Current technological developments in GIS and collaborative web-based mapping using interoperable geo-webservices and user-generated content could take disaster mapping an important step forward. Copyright Reed Business Numéro de notice : A2009-275 Thématique : GEOMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29905
in GIM international > vol 23 n° 7 (July 2009) . - pp 12 - 15[article]
