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Auteur Gloria Bordogna |
Documents disponibles écrits par cet auteur (4)
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Titre : Geoinformatics in citizen science Type de document : Monographie Auteurs : Gloria Bordogna, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 206 p. ISBN/ISSN/EAN : 978-3-03921-073-2 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse de données
[Termes IGN] cartographie thématique
[Termes IGN] données localisées des bénévoles
[Termes IGN] OpenStreetMap
[Termes IGN] QGIS
[Termes IGN] qualité des données
[Termes IGN] système d'information géographiqueRésumé : (Editeur) The book features contributions that report original research in the theoretical, technological, and social aspects of geoinformation methods, as applied to supporting citizen science. Specifically, the book focuses on the technological aspects of the field and their application toward the recruitment of volunteers and the collection, management, and analysis of geotagged information to support volunteer involvement in scientific projects. Internationally renowned research groups share research in three areas: First, the key methods of geoinformatics within citizen science initiatives to support scientists in discovering new knowledge in specific application domains or in performing relevant activities, such as reliable geodata filtering, management, analysis, synthesis, sharing, and visualization; second, the critical aspects of citizen science initiatives that call for emerging or novel approaches of geoinformatics to acquire and handle geoinformation; and third, novel geoinformatics research that could serve in support of citizen science. Numéro de notice : 26303 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie DOI : 10.3390/books978-3-03921-073-2 Date de publication en ligne : 28/08/2019 En ligne : https://doi.org/10.3390/books978-3-03921-073-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95045 A cross-analysis framework for multi-source volunteered, crowdsourced, and authoritative geographic information : The case study of volunteered personal traces analysis against transport network data / Gloria Bordogna in Geo-spatial Information Science, vol 21 n° 3 (October 2018)
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Titre : A cross-analysis framework for multi-source volunteered, crowdsourced, and authoritative geographic information : The case study of volunteered personal traces analysis against transport network data Type de document : Article/Communication Auteurs : Gloria Bordogna, Auteur ; Steven Capelli, Auteur ; Daniele E. Ciriello, Auteur ; Guiseppe Psaila, Auteur Année de publication : 2018 Article en page(s) : pp 257 - 271 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Bergame
[Termes IGN] cadre conceptuel
[Termes IGN] données hétérogènes
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] format JSON
[Termes IGN] mobilité urbaine
[Termes IGN] requête spatiale
[Termes IGN] réseau de transport
[Termes IGN] segmentation sémantique
[Termes IGN] trace numériqueRésumé : (Auteur) The paper discusses the need of a high-level query language to allow analysts, geographers and, in general, non-programmers to easily cross-analyze multi-source VGI created by means of apps, crowd-sourced data from social networks and authoritative geo-referenced data, usually represented as JSON data sets (nowadays, the de facto standard for data exported by social networks). Since an easy to use high-level language for querying and manipulating collections of possibly geo-tagged JSON objects is still unavailable, we propose a truly declarative language, named J-CO-QL, that is based on a well-defined execution model. A plug-in for a GIS permits to visualize geo-tagged data sets stored in a NoSQL database such as MongoDB; furthermore, the same plug-in can be used to write and execute J-CO-QL queries on those databases. The paper introduces the language by exemplifying its operators within a real study case, the aim of which is to understand the mobility of people in the neighborhood of Bergamo city. Cross-analysis of data about transportation networks and VGI from travelers is performed, by means of J-CO-QL language, capable to manipulate and transform, combine and join possibly geo-tagged JSON objects, in order to produce new possibly geo-tagged JSON objects satisfying users’ needs. Numéro de notice : A2018-646 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2017.1374703 Date de publication en ligne : 21/09/2018 En ligne : https://doi.org/10.1080/10095020.2017.1374703 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93316
in Geo-spatial Information Science > vol 21 n° 3 (October 2018) . - pp 257 - 271[article]A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm / D. Stroppiana in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)
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Titre : A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm Type de document : Article/Communication Auteurs : D. Stroppiana, Auteur ; Gloria Bordogna, Auteur ; P. Carrara, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 88 - 102 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse multicritère
[Termes IGN] cartographie des risques
[Termes IGN] Europe du sud
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] incendie de forêt
[Termes IGN] sous ensemble flou
[Termes IGN] surveillance de la végétationRésumé : (Auteur) Since fire is a major threat to forests and wooded areas in the Mediterranean environment of Southern Europe, systematic regional fire monitoring is a necessity. Satellite data constitute a unique cost-effective source of information on the occurrence of fire events and on the extent of the area burned. Our objective is to develop a (semi-)automated algorithm for mapping burned areas from medium spatial resolution (30 m) satellite data. In this article we present a multi-criteria approach based on Spectral Indices, soft computing techniques and a region growing algorithm; theoretically this approach relies on the convergence of partial evidence of burning provided by the indices. Our proposal features several innovative aspects: it is flexible in adapting to a variable number of indices and to missing data; it exploits positive and negative evidence (bipolar information) and it offers different criteria for aggregating partial evidence in order to derive the layers of candidate seeds and candidate region growing boundaries. The study was conducted on a set of Landsat TM images, acquired for the year 2003 over Southern Europe and pre-processed with the LEDAPS (Landsat Ecosystem Disturbance Adaptive Processing System) processing chain for deriving surface spectral reflectance ?i in the TM bands. The proposed method was applied to show its flexibility and the sensitivity of the accuracy of the resulting burned area maps to different aggregation criteria and thresholds for seed selection. Validation performed over an entire independent Landsat TM image shows the commission and omission errors to be below 21% and 3%, respectively. Numéro de notice : A2012-195 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.03.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.03.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31642
in ISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 88 - 102[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012031 SL Revue Centre de documentation Revues en salle Disponible A flexible multi-source spatial-data fusion system for environmental status assessment at continental scale / P. Carrara in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)
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Titre : A flexible multi-source spatial-data fusion system for environmental status assessment at continental scale Type de document : Article/Communication Auteurs : P. Carrara, Auteur ; Gloria Bordogna, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 781 - 799 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] Afrique (géographie politique)
[Termes IGN] continent
[Termes IGN] fusion de données multisource
[Termes IGN] indicateur de qualité
[Termes IGN] infrastructure européenne de données localisées
[Termes IGN] infrastructure nationale des données localisées
[Termes IGN] jeu de données localisées
[Termes IGN] petite échelle
[Termes IGN] pondération
[Termes IGN] série temporelle
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The monitoring of the environment's status at continental scale involves the integration of information derived by the analysis of multiple, complex, multidisciplinary, and large-scale phenomena. Thus, there is a need to define synthetic Environmental Indicators (EIs) that concisely represent these phenomena in a manner suitable for decision-making. This research proposes a flexible system to define EIs based on a soft fusion of contributing environmental factors derived from multi-source spatial data (mainly Earth Observation data). The flexibility is twofold: the EI can be customized based on the available data, and the system is able to cope with a lack of expert knowledge. The proposal allows a soft quantifier-guided fusion strategy to be defined, as specified by the user through a linguistic quantifier such as 'most of'. The linguistic quantifiers are implemented as Ordered Weighted Averaging operators. The proposed approach is applied in a case study to demonstrate the periodical computation of anomaly indicators of the environmental status of Africa, based on a 7-year time series of dekadal Earth Observation datasets. Different experiments have been carried out on the same data to demonstrate the flexibility and robustness of the proposed method. Numéro de notice : A2008-232 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701703183 En ligne : https://doi.org/10.1080/13658810701703183 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29227
in International journal of geographical information science IJGIS > vol 22 n° 6-7 (june 2008) . - pp 781 - 799[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08041 RAB Revue Centre de documentation En réserve L003 Disponible 079-08042 RAB Revue Centre de documentation En réserve L003 Disponible