Descripteur
|
Termes descripteurs IGN > cartographie > cartographie thématique > cartographie des risques > cartographie d'urgence
cartographie d'urgence |
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externesEtendre la recherche sur niveau(x) vers le bas
Evaluating the impact of visualization of risk upon emergency route-planning / Lisa Cheong in International journal of geographical information science IJGIS, vol 34 n° 5 (May 2020)
Titre : Evaluating the impact of visualization of risk upon emergency route-planning Type de document : Article/Communication Auteurs : Lisa Cheong, Auteur ; Christoph Kinkeldey, Auteur ; Ingrid Burfurd, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 1022 - 1050 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes descripteurs IGN] analyse géovisuelle
[Termes descripteurs IGN] cartographie d'urgence
[Termes descripteurs IGN] cartographie des risques
[Termes descripteurs IGN] inondation
[Termes descripteurs IGN] itinéraire
[Termes descripteurs IGN] planification
[Termes descripteurs IGN] représentation cartographique
[Termes descripteurs IGN] sémiologie graphique
[Termes descripteurs IGN] symbole graphiqueRésumé : (auteur) This paper reports on a controlled experiment evaluating how different cartographic representations of risk affect participants’ performance on a complex spatial decision task: route planning. The specific experimental scenario used is oriented towards emergency route-planning during flood response. The experiment compared six common abstract and metaphorical graphical symbolizations of risk. The results indicate a pattern of less-preferred graphical symbolizations associated with slower responses and lower-risk route choices. One mechanism that might explain these observed relationships would be that more complex and effortful maps promote closer attention paid by participants and lower levels of risk taking. Such user considerations have important implications for the design of maps and mapping interfaces for emergency planning and response. The data also highlights the importance of the ‘right decision, wrong outcome problem’ inherent in decision-making under uncertainty: in individual instances, more risky decisions do not always lead to worse outcomes. Numéro de notice : A2020-206 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1701677 date de publication en ligne : 12/12/2019 En ligne : https://doi.org/10.1080/13658816.2019.1701677 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94885
in International journal of geographical information science IJGIS > vol 34 n° 5 (May 2020) . - pp 1022 - 1050[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 079-2020041 SL Revue Centre de documentation Revues en salle Disponible
Titre : Analysis of tsunami evacuation maps for a consensual symbolization rules proposal Type de document : Article/Communication Auteurs : Jean-François Girres Année de publication : 2018 Article en page(s) : pp 4 - 24 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique
[Termes descripteurs IGN] cartographie d'urgence
[Termes descripteurs IGN] cartographie des risques
[Termes descripteurs IGN] langage cartographique
[Termes descripteurs IGN] symbole graphique
[Termes descripteurs IGN] tsunamiRésumé : (auteur) Preventing people exposed to natural hazards is a fundamental lever to reduce their vulnerability and the associated risk. In this context, evacuation maps can be considered as a useful tool to educate populations in order to get an appropriate behavior in case of disaster, and to maintain a culture of the risk in exposed areas. Since the catastrophic events in the Indian Ocean and Japan, local initiatives for the creation of tsunami evacuation maps have developed worldwide. However, no clear recommendations for the elaboration of these maps have already been proposed. This lack concerns the methods and rules used to create and represent the information present in the map. So, this article seeks to provide consensual symbolization rules for tsunami evacuation maps. To achieve this objective, a critical analysis was conducted from a sample of 30 tsunami evacuation maps. As a result, major trends and recurring choices have been extracted and compiled in a proposition for symbolization rules. This proposition, which has been implemented on various sites in the Mediterranean and Caribbean seas, can be seen as a first contribution for the harmonization of tsunami evacuation maps, in order to provide a universal cartographic language for exposed populations. Numéro de notice : A2018-054 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2018.1440711 date de publication en ligne : 25/02/2018 En ligne : https://doi.org/10.1080/23729333.2018.1440711 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89378
in International journal of cartography > vol 4 n° 1 (March 2018) . - pp 4 - 24[article]
Titre : Contextual classification using photometry and elevation data for damage detection after an earthquake event Type de document : Article/Communication Auteurs : Ewelina Rupnik Année de publication : 2018 Article en page(s) : pp 543 - 557 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes descripteurs IGN] cartographie d'urgence
[Termes descripteurs IGN] chaîne de traitement
[Termes descripteurs IGN] champ aléatoire conditionnel
[Termes descripteurs IGN] classification contextuelle
[Termes descripteurs IGN] classification dirigée
[Termes descripteurs IGN] classification non dirigée
[Termes descripteurs IGN] détection de changement
[Termes descripteurs IGN] dommage matériel
[Termes descripteurs IGN] image aérienne
[Termes descripteurs IGN] modèle numérique de surface
[Termes descripteurs IGN] orthoimage
[Termes descripteurs IGN] photométrie
[Termes descripteurs IGN] prise en compte du contexte
[Termes descripteurs IGN] zone urbaineRésumé : (auteur) This research presents a processing workflow to automatically find damaged building areas in an urban context. The input data requirements are high-resolution multi-view images, acquired from airborne platform. The elevations are derived from a dense surface model generated with photogrammetric methods. With the principal objective of rapid response in emergency situations, two different processing roadmaps are proposed, semi-supervised and unsupervised. Both of them follow a two-step workflow of building detection and building health estimation. Optionally, cadastral layers may serve as a-priori knowledge on building location. The semi-supervised approach involves a data training step, while the unsupervised approach exploits the similarities and dissimilarities between sets of features calculated over the detected buildings. The change detection task is formulated as a classification task defined over a conditional random field. The algorithms are evaluated using two datasets (Vexcel and Midas cameras) and results are compared with ground truth data and specific metrics. Numéro de notice : A2018-664 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/22797254.2018.1458584 date de publication en ligne : 16/05/2018 En ligne : https://doi.org/10.1080/22797254.2018.1458584 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94250
in European journal of remote sensing > vol 51 n° 1 (2018) . - pp 543 - 557[article]
Titre : A survey of geomatics solutions for the rapid mapping of natural hazards Type de document : Article/Communication Auteurs : Isabella Toschi, Auteur ; Fabio Remondino, Auteur ; Tobias Kellenberger, Auteur ; André Streilein, Auteur Année de publication : 2017 Article en page(s) : pp 843 - 859 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes descripteurs IGN] capteur (télédétection)
[Termes descripteurs IGN] cartographie d'urgence
[Termes descripteurs IGN] cartographie des risques
[Termes descripteurs IGN] gestion de crise
[Termes descripteurs IGN] performance
[Termes descripteurs IGN] risque naturelRésumé : (Auteur) Natural hazards demand a rapid assessment of the crisis situation and the use of Geomatics platforms, sensors and techniques can efficiently answer this need. Remotely sensed data can, in fact, provide a valuable source of broad scale information at each stage of the disaster management cycle, supporting scientists and authorities in the decision-making process. Geomatics-based procedures and techniques can be especially exploited in the emergency mapping domain for the extraction of reference (pre-event) and crisis (post-event) geographic data. The major challenges today concern the efficient selection (and integration) of the most fit-for-purpose mapping solution(s) and the development of automatic procedures to increase efficiency in data processing. This survey article provides a review of the current optical remote sensing sensors (both satellite and airborne) for rapid mapping applications. Advantages and disadvantages are evaluated in order to support the selection process of the most appropriate means to gather the required information (i. e., significant and value-added data). Since valuable information should be delivered in a very short time, the management of time is defined as a priority and several solutions are discussed to pursue efficiency in both data acquisition and processing. With this in mind, the most significant issues affecting time in each step of the work-flow and overall accuracy are analyzed and reported. Numéro de notice : A2017-804 Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.12.843 En ligne : https://doi.org/10.14358/PERS.83.12.843 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89165
in Photogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 12 (December 2017) . - pp 843 - 859[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 105-2017121 SL Revue Centre de documentation Revues en salle Disponible
Titre : Satellite image collection modeling for large area hazard emergency response Type de document : Article/Communication Auteurs : Shufan Liu, Auteur ; Michael E. Hodgson, Auteur Année de publication : 2016 Article en page(s) : pp 13 – 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes descripteurs IGN] cartographie d'urgence
[Termes descripteurs IGN] image satellite
[Termes descripteurs IGN] planification
[Termes descripteurs IGN] risque naturel
[Termes descripteurs IGN] traitement d'imageRésumé : (auteur) Timely collection of critical hazard information is the key to intelligent and effective hazard emergency response decisions. Satellite remote sensing imagery provides an effective way to collect critical information. Natural hazards, however, often have large impact areas – larger than a single satellite scene. Additionally, the hazard impact area may be discontinuous, particularly in flooding or tornado hazard events. In this paper, a spatial optimization model is proposed to solve the large area satellite image acquisition planning problem in the context of hazard emergency response. In the model, a large hazard impact area is represented as multiple polygons and image collection priorities for different portion of impact area are addressed. The optimization problem is solved with an exact algorithm. Application results demonstrate that the proposed method can address the satellite image acquisition planning problem. A spatial decision support system supporting the optimization model was developed. Several examples of image acquisition problems are used to demonstrate the complexity of the problem and derive optimized solutions. Numéro de notice : A2016-588 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.04.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81733
in ISPRS Journal of photogrammetry and remote sensing > vol 118 (August 2016) . - pp 13 – 21[article]PermalinkPermalinkPermalinkPermalink
Permalink
