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Evaluation of web maps for the communication of flood risks to the public in Europe / Maaike Van Kerkvoorde in International journal of cartography, vol 4 n° 1 (March 2018)
[article]
Titre : Evaluation of web maps for the communication of flood risks to the public in Europe Type de document : Article/Communication Auteurs : Maaike Van Kerkvoorde, Auteur ; Wim Kellens, Auteur ; Els Verfaillie, Auteur ; Kristien Ooms, Auteur Année de publication : 2018 Article en page(s) : pp Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] cartographie des risques
[Termes IGN] conception cartographique
[Termes IGN] convivialité
[Termes IGN] inondation
[Termes IGN] questionnaire
[Termes IGN] risque naturel
[Termes IGN] utilisateurRésumé : (auteur) Floods are one of the most significant hazards in Europe. This paper describes an iterative approach consisting of designing and evaluating static flood risk maps. In the first step, the use of different colour schemes and background types (e.g. topographic map, street map, and satellite images) is evaluated in an online survey. Next the design is optimized based on the outcomes of dedicated focus groups. The usability tests include the users’ preference, also considering their characteristics (age, gender, and expertise). The obtained results of each step are integrated to optimize the design of evacuation route maps and flood depth maps. Numéro de notice : A2018-081 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2017.1371411 Date de publication en ligne : 06/11/2017 En ligne : https://doi.org/10.1080/23729333.2017.1371411 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89449
in International journal of cartography > vol 4 n° 1 (March 2018) . - pp[article]Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos / Yu Feng in ISPRS International journal of geo-information, vol 7 n° 2 (February 2018)
[article]
Titre : Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos Type de document : Article/Communication Auteurs : Yu Feng, Auteur ; Monika Sester, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] apprentissage profond
[Termes IGN] Berlin
[Termes IGN] cartographie des risques
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] inondation
[Termes IGN] Londres
[Termes IGN] Paris (75)
[Termes IGN] protection civile
[Termes IGN] risque naturel
[Termes IGN] zone sinistrée
[Termes IGN] zone urbaineRésumé : (Auteur) In recent years, pluvial floods caused by extreme rainfall events have occurred frequently. Especially in urban areas, they lead to serious damages and endanger the citizens’ safety. Therefore, real-time information about such events is desirable. With the increasing popularity of social media platforms, such as Twitter or Instagram, information provided by voluntary users becomes a valuable source for emergency response. Many applications have been built for disaster detection and flood mapping using crowdsourcing. Most of the applications so far have merely used keyword filtering or classical language processing methods to identify disaster relevant documents based on user generated texts. As the reliability of social media information is often under criticism, the precision of information retrieval plays a significant role for further analyses. Thus, in this paper, high quality eyewitnesses of rainfall and flooding events are retrieved from social media by applying deep learning approaches on user generated texts and photos. Subsequently, events are detected through spatiotemporal clustering and visualized together with these high quality eyewitnesses in a web map application. Analyses and case studies are conducted during flooding events in Paris, London and Berlin. Numéro de notice : A2018-105 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7020039 En ligne : https://doi.org/10.3390/ijgi7020039 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89530
in ISPRS International journal of geo-information > vol 7 n° 2 (February 2018)[article]Climate change risk to forests in China associated with warming / Yunhe Yin in Scientific reports, vol 8 (2018)
[article]
Titre : Climate change risk to forests in China associated with warming Type de document : Article/Communication Auteurs : Yunhe Yin, Auteur ; Danyang Ma, Auteur ; Shaohong Wu, Auteur Année de publication : 2018 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique
[Termes IGN] Chine
[Termes IGN] croissance des arbres
[Termes IGN] écologie forestière
[Termes IGN] forêt tropicale
[Termes IGN] production primaire nette
[Termes IGN] risque naturel
[Termes IGN] sécheresse
[Termes IGN] vingt-et-unième siècle
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Variations in forest net primary productivity (NPP) reflects the combined effects of key climate variables on ecosystem structure and function, especially on the carbon cycle. We performed risk analysis indicated by the magnitude of future negative anomalies in NPP in comparison with the natural interannual variability to investigate the impact of future climatic projections on forests in China. Results from the multi-model ensemble showed that climate change risk of decreases in forest NPP would be more significant in higher emission scenario in China. Under relatively low emission scenarios, the total area of risk was predicted to decline, while for RCP8.5, it was predicted to first decrease and then increase after the middle of 21st century. The rapid temperature increases predicted under the RCP8.5 scenario would be probably unfavorable for forest vegetation growth in the long term. High-level risk area was likely to increase except RCP2.6. The percentage area at high risk was predicted to increase from 5.39% (2021–2050) to 27.62% (2071–2099) under RCP8.5. Climate change risk to forests was mostly concentrated in southern subtropical and tropical regions, generally significant under high emission scenario of RCP8.5, which was mainly attributed to the intensified dryness in south China. Numéro de notice : A2018-009 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1038/s41598-017-18798-6 En ligne : http://dx.doi.org/10.1038/s41598-017-18798-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89002
in Scientific reports > vol 8 (2018)[article]QGIS in Remote Sensing, Volume 4. QGIS and Applications in Water and Risks / Nicolas Baghdadi (2018)
Titre de série : QGIS in Remote Sensing, Volume 4 Titre : QGIS and Applications in Water and Risks Type de document : Monographie Auteurs : Nicolas Baghdadi, Éditeur scientifique ; Clément Mallet , Éditeur scientifique ; Mehrez Zribi, Éditeur scientifique Editeur : Londres : ISTE Editions Année de publication : 2018 Importance : 320 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-119-47672-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] aléa
[Termes IGN] anthropisation
[Termes IGN] carte bathymétrique
[Termes IGN] cartographie thématique
[Termes IGN] données bathymétriques
[Termes IGN] érosion hydrique
[Termes IGN] image multibande
[Termes IGN] modèle numérique bathymétrique
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle RUSLE
[Termes IGN] QGIS
[Termes IGN] ressources en eau
[Termes IGN] risque naturel
[Termes IGN] télédétection spatiale
[Termes IGN] traitement d'imageIndex. décimale : 37.40 Applications SIG Résumé : (Editeur) The QGIS in Remote Sensing Set aims to facilitate the appropriation and operational use of the Quantum Geographic Information System (QGIS) software in the field of remote sensing. This fourth volume of the set is dedicated to the presentation and the practice of QGIS and its libraries of applications dealing with water and risk management issues. In the context of global changes (climatic and anthropogenic), understanding and quantifying water resource dynamics and the various aspects of risks is essential for managers in public authorities and local population. This work is carried out by scientists who are proficient to a high level of technicality. The book is targeted at students (Masters, engineering students, PhDs), engineers involved in the management of water resources and territory, and research teams in geomatics. In addition to the text, readers will have access to data and tools allowing the integral realization of the scientific procedures described in each chapter, as well as screenshots of all the windows which illustrate the manipulations necessary for the realization of each application. Note de contenu : 1. Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution /
Bertrand Lubac.
2. Contribution of the Integrated Topo-bathymetric Model for Coastal Wetland Evolution: Case of Geomorphologic and Biological Evolution of Ichkeul Marshes (North Tunisia) / Zeineb Kassouk, Zohra Lili-Chabaane, Benoit Deffontaines, Mohammad El Hajj and Nicolas Baghdadi.
3. Reservoir Hydrological Monitoring by Satellite Image Analysis / Paul Passy and Adrien Selles.
4. Network Analysis and Routing with QGIS / Hervé Pella and Kenji Ose.
5. Representation of the Drainage Network in Urban and Peri-urban Areas Using a 2D Polygonal Mesh Composed of Pseudo-convex Elements / Pedro Sanzana, Sergio Villaroel, Isabelle Braud, Nancy Hitschfeld, Jorge Gironas, Flora Branger, Fabrice Rodriguez, Ximena Vargas and Tomas Gomez.
6. Mapping of Drought / Mohammad El Hajj, Mehrez Zribi, Nicolas Baghdadi and Michel Le Page.
7. A Spatial Sampling Design Based on Landscape Metrics for Pest Regulation: The Millet Head Miner Case Study in the Bambey Area, Senegal / Valérie Soti.
8. Modeling Erosion Risk Using the RUSLE Equation / Rémi Andreoli.Numéro de notice : 17567D Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : GEOMATIQUE/IMAGERIE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.1002/9781119476726 Date de publication en ligne : 16/02/2018 En ligne : http://dx.doi.org/10.1002/9781119476726 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91931 Voir aussi
- Utilisation de QGIS en télédétection, Volume 4. QGIS et applications en eau et risques / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 2. QGIS and applications in agriculture and forest / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 3. QGIS and Applications in Territorial Planning / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 1. QGIS and generic tools / Nicolas Baghdadi (2018)
- Uso de QGIS en la teledetección, Vol. 4. QGIS y sus aplicaciones en agua y en gestion del riego / Nicolas Baghdadi (2020)
Titre : Rapport annuel 2017, Météo France Type de document : Rapport Auteurs : Météo France, Auteur Editeur : Paris : Météo France Année de publication : 2018 Format : 21 x 30 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Atmosphère
[Termes IGN] développement durable
[Termes IGN] météorologie
[Termes IGN] risque naturelNote de contenu : Édito
Aperçu
Météo-France en bref
Bilan climatique
1. Répondre aux exigences de l’État et aux attentes de tous
2. En quête d'excellence scientifique et technologique
3. Une coopération internationale activeNuméro de notice : 17757 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Rapport d'activité DOI : sans En ligne : https://rapportannuel.meteofrance.fr/2017 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103121 Regard pluridisciplinaire sur les usages sociaux de géovisualisations 3D pour la sensibilisation au risque d’inondation : Un exemple rhodanien / Julia Bonaccorsi in Revue internationale de géomatique, vol 28 n° 1 (janvier - mars 2018)PermalinkPermalinkSurveillance des déformations des volcans avec des réseaux de Géocubes : expériences et leçons d’un déploiement sur l’Etna / Mohamed-Amjad Lasri (2018)PermalinkUtilisation de QGIS en télédétection, Volume 4. QGIS et applications en eau et risques / Nicolas Baghdadi (2018)PermalinkInSAR data for geohazard assessment in UNESCO World Heritage sites: state-of-the-art and perspectives in the Copernicus era / Deodato Tapete in International journal of applied Earth observation and geoinformation, vol 63 (December 2017)PermalinkA simulation and visualization environment for spatiotemporal disaster risk assessments of network infrastructures / Magnus Heittzler in Cartographica, vol 52 n° 4 (Winter 2017)PermalinkA survey of geomatics solutions for the rapid mapping of natural hazards / Isabella Toschi in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 12 (December 2017)PermalinkCartographie de la vulnérabilité des bâtiments au risque sismique / Valerio Baiocchi in Géomatique expert, n° 119 (novembre - décembre 2017)PermalinkChangement climatique et risque inondation / William Halbecq in Géomatique expert, n° 119 (novembre - décembre 2017)PermalinkGIS-based MCDA–AHP modelling for avalanche susceptibility mapping of Nubra valley region, Indian Himalaya / Satish Kumar in Geocarto international, vol 32 n° 11 (November 2017)Permalink