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TAGGS : grouping tweets to improve global geoparsing for disaster response / Jens A. de Bruijn in Journal of Geovisualization and Spatial Analysis, vol 2 n° 1 (June 2018)
[article]
Titre : TAGGS : grouping tweets to improve global geoparsing for disaster response Type de document : Article/Communication Auteurs : Jens A. de Bruijn, Auteur ; Hans de Moel, Auteur ; Brenden Jongman, Auteur ; et al., Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Linguistique
[Termes IGN] catastrophe naturelle
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] Geoparsing
[Termes IGN] inondation
[Termes IGN] prise en compte du contexte
[Termes IGN] risque naturel
[Termes IGN] TwitterRésumé : (Auteur) Timely and accurate information about ongoing events are crucial for relief organizations seeking to effectively respond to disasters. Recently, social media platforms, especially Twitter, have gained traction as a novel source of information on disaster events. Unfortunately, geographical information is rarely attached to tweets, which hinders the use of Twitter for geographical applications. As a solution, geoparsing algorithms extract and can locate geographical locations referenced in a tweet’s text. This paper describes TAGGS, a new algorithm that enhances location disambiguation by employing both metadata and the contextual spatial information of groups of tweets referencing the same location regarding a specific disaster type. Validation demonstrated that TAGGS approximately attains a recall of 0.82 and precision of 0.91. Without lowering precision, this roughly doubles the number of correctly found administrative subdivisions and cities, towns, and villages as compared to individual geoparsing. We applied TAGGS to 55.1 million flood-related tweets in 12 languages, collected over 3 years. We found 19.2 million tweets mentioning one or more flood locations, which can be towns (11.2 million), administrative subdivisions (5.1 million), or countries (4.6 million). In the future, TAGGS could form the basis for a global event detection system. Numéro de notice : A2018-588 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s41651-017-0010-6 Date de publication en ligne : 26/12/2017 En ligne : https://doi.org/10.1007/s41651-017-0010-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92505
in Journal of Geovisualization and Spatial Analysis > vol 2 n° 1 (June 2018)[article]A spatio-temporal scenario model for emergency decision / Cheng Liu in Geoinformatica, vol 22 n° 2 (April 2018)
[article]
Titre : A spatio-temporal scenario model for emergency decision Type de document : Article/Communication Auteurs : Cheng Liu, Auteur ; Jing Qian, Auteur ; Danhuai Guo, Auteur ; Yi Liu, Auteur Année de publication : 2018 Article en page(s) : pp 411 - 433 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] cadre conceptuel
[Termes IGN] catastrophe naturelle
[Termes IGN] dommage matériel
[Termes IGN] données spatiotemporelles
[Termes IGN] modèle conceptuel de données
[Termes IGN] outil d'aide à la décision
[Termes IGN] relation topologique
[Termes IGN] représentation
[Termes IGN] secours d'urgenceRésumé : (Auteur) A structural and quantitative representation of disaster status contributes to efficient emergency decision-making, for this purpose, a representation model for disaster status is developed in this paper, called spatio-temporal scenario model (short for STSM model). Concept of the term `scenario' is discussed at first. Then, based on the concept, STSM model is proposed and introduced in detail. It contains two components: developing scenario connotation and developing spatio-temporal framework. Scenario connotation is to develop representation of disaster status of each object, consisting of object representation and damage representation. Spatio-temporal framework is to develop representation of evolution of disaster status, consisting of representation of spatial relation, temporal relation, natural environment and emergency response. Finally, an example is provided to show the effectiveness of STSM model. Advantages of the developed model lie in four aspects: flexibility in describing dynamic disaster status; universal representation of disaster status contributing to similarity assessment; helping in evaluating emergency severity with the quantitative representation of disaster status. Moreover, it helps decision-makers obtain a more comprehensive representation for disaster evolution in a certain time space. Numéro de notice : A2018-368 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-017-0313-2 Date de publication en ligne : 20/12/2017 En ligne : https://doi.org/10.1007/s10707-017-0313-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90733
in Geoinformatica > vol 22 n° 2 (April 2018) . - pp 411 - 433[article]A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data / Qunying Huang in Computers, Environment and Urban Systems, vol 66 (November 2017)
[article]
Titre : A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data Type de document : Article/Communication Auteurs : Qunying Huang, Auteur ; Guido Cervone, Auteur ; Guiming Zhang, Auteur Année de publication : 2017 Article en page(s) : pp 23 - 37 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] caractérisation
[Termes IGN] catastrophe naturelle
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] exploration de données géographiques
[Termes IGN] exploration de texte
[Termes IGN] image numérique
[Termes IGN] informatique en nuage
[Termes IGN] inondation
[Termes IGN] intégration de données
[Termes IGN] interface web
[Termes IGN] prototype
[Termes IGN] tempête
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Social media streams and remote sensing data have emerged as new sources for tracking disaster events, and assessing their damages. Previous studies focus on a case-by-case approach, where a specific event was first chosen and filtering criteria (e.g., keywords, spatiotemporal information) are manually designed and used to retrieve relevant data for disaster analysis. This paper presents a framework that synthesizes multi-sourced data (e.g., social media, remote sensing, Wikipedia, and Web), spatial data mining and text mining technologies to build an architecturally resilient and elastic solution to support disaster analysis of historical and future events. Within the proposed framework, Wikipedia is used as a primary source of different historical disaster events, which are extracted to build an event database. Such a database characterizes the salient spatiotemporal patterns and characteristics of each type of disaster. Additionally, it can provide basic semantics, such as event name (e.g., Hurricane Sandy) and type (e.g., flooding) and spatiotemporal scopes, which are then tuned by the proposed procedures to extract additional information (e.g., hashtags for searching tweets), to query and retrieve relevant social media and remote sensing data for a specific disaster. Besides historical event analysis and pattern mining, the cloud-based framework can also support real-time event tracking and monitoring by providing on-demand and elastic computing power and storage capabilities. A prototype is implemented and tested with data relative to the 2011 Hurricane Sandy and the 2013 Colorado flooding. Numéro de notice : a2017-430 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.compenvurbsys.2017.06.004 En ligne : https://doi.org/10.1016/j.compenvurbsys.2017.06.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86330
in Computers, Environment and Urban Systems > vol 66 (November 2017) . - pp 23 - 37[article]Disaster debris estimation using high-resolution polarimetric stereo-SAR / Christian N. Koyama in ISPRS Journal of photogrammetry and remote sensing, vol 120 (october 2016)
[article]
Titre : Disaster debris estimation using high-resolution polarimetric stereo-SAR Type de document : Article/Communication Auteurs : Christian N. Koyama, Auteur ; Hideomi Gokon, Auteur ; Masaru Jimbo, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 84 - 98 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] catastrophe naturelle
[Termes IGN] déchet
[Termes IGN] estimation statistique
[Termes IGN] hauteur (coordonnée)
[Termes IGN] image radar moirée
[Termes IGN] Japon
[Termes IGN] modèle stéréoscopique
[Termes IGN] séisme
[Termes IGN] volume (grandeur)Résumé : (Auteur) This paper addresses the problem of debris estimation which is one of the most important initial challenges in the wake of a disaster like the Great East Japan Earthquake and Tsunami. Reasonable estimates of the debris have to be made available to decision makers as quickly as possible. Current approaches to obtain this information are far from being optimal as they usually rely on manual interpretation of optical imagery. We have developed a novel approach for the estimation of tsunami debris pile heights and volumes for improved emergency response. The method is based on a stereo-synthetic aperture radar (stereo-SAR) approach for very high-resolution polarimetric SAR. An advanced gradient-based optical-flow estimation technique is applied for optimal image coregistration of the low-coherence non-interferometric data resulting from the illumination from opposite directions and in different polarizations. By applying model based decomposition of the coherency matrix, only the odd bounce scattering contributions are used to optimize echo time computation. The method exclusively considers the relative height differences from the top of the piles to their base to achieve a very fine resolution in height estimation. To define the base, a reference point on non-debris-covered ground surface is located adjacent to the debris pile targets by exploiting the polarimetric scattering information. The proposed technique is validated using in situ data of real tsunami debris taken on a temporary debris management site in the tsunami affected area near Sendai city, Japan. The estimated height error is smaller than 0.6 m RMSE. The good quality of derived pile heights allows for a voxel-based estimation of debris volumes with a RMSE of 1099 m3. Advantages of the proposed method are fast computation time, and robust height and volume estimation of debris piles without the need for pre-event data or auxiliary information like DEM, topographic maps or GCPs. Numéro de notice : A2016-796 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.08.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.08.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82530
in ISPRS Journal of photogrammetry and remote sensing > vol 120 (october 2016) . - pp 84 - 98[article]L'essor soudain du "vivre avec" le risque / Pierre Clergeot in Géomètre, n° 2136 (mai 2016)
[article]
Titre : L'essor soudain du "vivre avec" le risque Type de document : Article/Communication Auteurs : Pierre Clergeot, Auteur Année de publication : 2016 Article en page(s) : pp 30 - 32 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Aménagement
[Termes IGN] bassin hydrographique
[Termes IGN] catastrophe naturelle
[Termes IGN] construction
[Termes IGN] crue
[Termes IGN] inondation
[Termes IGN] marée océanique
[Termes IGN] précipitation
[Termes IGN] risque naturel
[Termes IGN] submersion marine
[Termes IGN] urbanisme
[Termes IGN] zone inondableRésumé : (Auteur) Pourquoi construire en zone inondable ? La question mérite d'être posée du fait du renouvellement urbain, de l'urbanisation et de la périurbanisation croissantes. Les zones inondables sont si grandes qu'il est inimaginable de les sanctuariser. Numéro de notice : A2016-356 Affiliation des auteurs : non IGN Thématique : URBANISME Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81075
in Géomètre > n° 2136 (mai 2016) . - pp 30 - 32[article]Réservation
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