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Changement climatique et risque inondation / William Halbecq in Géomatique expert, n° 119 (novembre - décembre 2017)
[article]
Titre : Changement climatique et risque inondation Type de document : Article/Communication Auteurs : William Halbecq, Auteur ; Nicolas Bauduceau, Auteur ; Camille Rossi, Organisateur de réunion Année de publication : 2017 Article en page(s) : pp 36 - 43 Note générale : Entretien organisé par Business Geographics Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] cartographie dynamique
[Termes IGN] changement climatique
[Termes IGN] crue
[Termes IGN] données lidar
[Termes IGN] enjeu
[Termes IGN] erreur de classification
[Termes IGN] historique des données
[Termes IGN] image aérienne
[Termes IGN] inondation
[Termes IGN] modélisation spatiale
[Termes IGN] photo-interprétation
[Termes IGN] plan de prévention des risques
[Termes IGN] précision des données
[Termes IGN] risque naturel
[Termes IGN] submersion marine
[Termes IGN] système d'information géographiqueRésumé : (Auteur) William Halbecq et Nicolas Bauduceau, experts en risques, discutent de la réalité du changement climatique et ce que cela implique pour les risques de crues et de submersion marine. Numéro de notice : A2017-773 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88827
in Géomatique expert > n° 119 (novembre - décembre 2017) . - pp 36 - 43[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-2017061 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P002007 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt A GIS-based fire spread simulator integrating a simplified physical wildland fire model and a wind field model / D. Prieto Herráez in International journal of geographical information science IJGIS, vol 31 n° 11-12 (November - December 2017)
[article]
Titre : A GIS-based fire spread simulator integrating a simplified physical wildland fire model and a wind field model Type de document : Article/Communication Auteurs : D. Prieto Herráez, Auteur ; M. I. Asensio Sevilla, Auteur ; L. Ferragut Canals, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 2142 - 2163 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] ArcMap
[Termes IGN] bibliothèque logicielle
[Termes IGN] Galice (Espagne)
[Termes IGN] implémentation (informatique)
[Termes IGN] incendie de forêt
[Termes IGN] Python (langage de programmation)
[Termes IGN] simulation 3D
[Termes IGN] système d'information géographique
[Termes IGN] traitement de données
[Termes IGN] vent
[Termes IGN] vitesseRésumé : (Auteur) This article discusses the integration of two models, namely, the Physical Forest Fire Spread (PhFFS) and the High Definition Wind Model (HDWM), into a Geographical Information System-based interface. The resulting tool automates data acquisition, preprocesses spatial data, launches the aforementioned models and displays the corresponding results in a unique environment. Our implementation uses the Python language and Esri’s ArcPy library to extend the functionality of ArcMap 10.4. The PhFFS is a simplified 2D physical wildland fire spread model based on conservation equations, with convection and radiation as heat transfer mechanisms. It also includes some 3D effects. The HDWM arises from an asymptotic approximation of the Navier–Stokes equations, and provides a 3D wind velocity field in an air layer above the terrain surface. Both models can be run in standalone or coupled mode. Finally, the simulation of a real fire in Galicia (Spain) confirms that the tool developed is efficient and fully operational. Numéro de notice : A2017-699 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1334889 En ligne : https://doi.org/10.1080/13658816.2017.1334889 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88080
in International journal of geographical information science IJGIS > vol 31 n° 11-12 (November - December 2017) . - pp 2142 - 2163[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2017061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017062 RAB Revue Centre de documentation En réserve L003 Disponible GIS-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)
[article]
Titre : GIS-based MCDA–AHP modelling for avalanche susceptibility mapping of Nubra valley region, Indian Himalaya Type de document : Article/Communication Auteurs : Satish Kumar, Auteur ; Pankaj Kumar Srivastava, Auteur ; Snehmani, Auteur Année de publication : 2017 Article en page(s) : pp 1254 - 1267 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] aléa
[Termes IGN] analyse multicritère
[Termes IGN] avalanche
[Termes IGN] cartographie des risques
[Termes IGN] Himalaya
[Termes IGN] image Landsat-8
[Termes IGN] image Terra-ASTER
[Termes IGN] Inde
[Termes IGN] outil d'aide à la décision
[Termes IGN] plan de prévention des risques
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] risque naturel
[Termes IGN] vulnérabilitéRésumé : (Auteur) Avalanches are behind the majority of fatalities and heavy damage to property in snow-covered mountainous terrain like Himalaya. Recognizing avalanche susceptible areas and publication of avalanche susceptibility maps assist decision-makers and planners to execute suitable measures to reduce the avalanche risk. The present study is an attempt to prepare an avalanche susceptibility map of the Nubra valley region using multi-criteria decision analysis–analytical hierarchy process model in GIS environment. The most prominent avalanche occurrence factors used in this model are slope, aspect, curvature, elevation, terrain roughness and ground cover. ASTER GDEM V2 and Landsat 8 satellite imagery were used to generate considered factors. For validation of the results, prediction rate/accuracy is calculated using the avalanche inventory map of documented avalanche locations. To calculate the prediction accuracy, area under the ROC curve (ROC-AUC) method has been used. The prediction accuracy of the validation results using ROC-AUC shows 91%. Numéro de notice : A2017-671 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1206626 Date de publication en ligne : 13/07/2016 En ligne : https://doi.org/10.1080/10106049.2016.1206626 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87157
in Geocarto international > vol 32 n° 11 (November 2017) . - pp 1254 - 1267[article]Knowledge-guided consistent correlation analysis of multimode landslide monitoring data / Shuangxi Miao in International journal of geographical information science IJGIS, vol 31 n° 11-12 (November - December 2017)
[article]
Titre : Knowledge-guided consistent correlation analysis of multimode landslide monitoring data Type de document : Article/Communication Auteurs : Shuangxi Miao, Auteur ; Qing Zhu, Auteur ; Bo Zhang, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 2255 - 2271 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] base de connaissances
[Termes IGN] Chensi (Chine)
[Termes IGN] corrélation
[Termes IGN] données multisources
[Termes IGN] effondrement de terrain
[Termes IGN] regroupement de données
[Termes IGN] structure géologique
[Termes IGN] surveillance géologiqueRésumé : (Auteur) A novel method called knowledge-guided spatio-temporal consistent correlation analysis (KSTCCA) was developed to discover reliable deformation features induced by multiple factors based on multimode landslide monitoring data. Compared to conventional approaches, KSTCCA integrates both temporal and spatial correlation analysis to improve the consistency of deformation patterns and capture the spatio-temporal heterogeneities in multimode monitoring data. KSTCCA considers both the landslide deformation mechanisms and the relationships between different influential factors as knowledge. Moreover, the method extracts the morphological structures of monitoring curves based on a seven-point approach and identifies knowledge rules using the k-means clustering method. Under the guidance of prior knowledge, a spatial correlation analysis is conducted based on support vector regression, and a temporal correlation analysis of the time lag is carried out based on the morphological structure features. Finally, three kinds of typical monitoring data, including deformation, rainfall, and reservoir water level data collected in the Baishuihe landslide area, China, are used for experimental analysis to verify the validity of the proposed method. Numéro de notice : A2017-700 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1356461 En ligne : https://doi.org/10.1080/13658816.2017.1356461 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88081
in International journal of geographical information science IJGIS > vol 31 n° 11-12 (November - December 2017) . - pp 2255 - 2271[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2017061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017062 RAB Revue Centre de documentation En réserve L003 Disponible Strong gradients in forest sensitivity to climate change revealed by dynamics of forest fire cycles in the post Little Ice Age Era / Igor Drobyshev in Journal of geophysical research : Biogeosciences, vol 122 n° 10 (October 2017)
[article]
Titre : Strong gradients in forest sensitivity to climate change revealed by dynamics of forest fire cycles in the post Little Ice Age Era Type de document : Article/Communication Auteurs : Igor Drobyshev, Auteur ; Yves Bergeron, Auteur ; Martin P. Girardin, Auteur ; Sylvie Gauthier, Auteur ; Clémentine Ols , Auteur ; John Ojal, Auteur Année de publication : 2017 Projets : PREREAL / Ali, Ahmed Adam Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Amérique du nord
[Termes IGN] analyse diachronique
[Termes IGN] changement climatique
[Termes IGN] circulation atmosphérique
[Termes IGN] forêt boréale
[Termes IGN] forêt tempérée
[Termes IGN] incendie de forêt
[Termes IGN] Moyen-Age
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) The length of the fire cycle is a critical factor affecting the vegetation cover in boreal and temperate regions. However, its responses to climate change remain poorly understood. We reanalyzed data from earlier studies of forest age structures at the landscape level, in order to map the evolution of regional fire cycles across Eastern North American boreal and temperate forests, following the termination of the Little Ice Age (LIA). We demonstrated a well‐defined spatial pattern of post‐LIA changes in the length of fire cycles toward lower fire activity during the 1800s and 1900s. The western section of Eastern North America (west of 77°W) experienced a decline in fire activity as early as the first half of the 1800s. By contrast, the eastern section showed these declines as late as the early 1900s. During a regionally fire‐prone period of the 1910s–1920s, forests in the western section of Eastern boreal North America burned more than forests in the eastern section. The climate appeared to dominate over vegetation composition and human impacts in shaping the geographical pattern of the post‐LIA change in fire activity. Changes in the atmospheric circulation patterns following the termination of the LIA, specifically changes in Arctic Oscillation and the strengthening of the Continental Polar Trough, were likely drivers of the regional fire dynamics. Numéro de notice : A2017-912 Affiliation des auteurs : LIF+Ext (2012-2019) Autre URL associée : vers HAL Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1002/2017JG003826 Date de publication en ligne : 20/10/2017 En ligne : https://doi.org/10.1002/2017JG003826 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96696
in Journal of geophysical research : Biogeosciences > vol 122 n° 10 (October 2017)[article]Crown bulk density and fuel moisture dynamics in Pinus pinaster stands are neither modified by thinning nor captured by the Forest Fire Weather Index / Marc Soler Martin in Annals of Forest Science, vol 74 n° 3 (September 2017)PermalinkInvestigation of automatic feature weighting methods (Fisher, Chi-square and Relief-F) for landslide susceptibility mapping / Emrehan Kutlug Sahin in Geocarto international, vol 32 n° 9 (September 2017)PermalinkVisual inspection of fire-damaged concrete based on terrestrial laser scanner data / Wallace Mukupa in Applied geomatics, vol 9 n° 3 (September 2017)PermalinkRobust object-based multipass InSAR deformation reconstruction / Jian Kang in IEEE Transactions on geoscience and remote sensing, vol 55 n° 8 (August 2017)PermalinkSafe separation distance score : a new metric for evaluating wildland firefighter safety zones using lidar / Michael J. Campbell in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)PermalinkEvaluation of forest fire on Madeira Island using Sentinel-2A MSI imagery / Gabriel Navarro in International journal of applied Earth observation and geoinformation, vol 58 (June 2017)PermalinkPushing the sensitivity limits of RTS-based continuous deformation monitoring of an alpine valley / Mariusz Frukacz in Applied geomatics, vol 9 n° 2 (June 2017)PermalinkForêts, l'appel 2.0 du SIG / Fanny Perrin d'Arloz in SIGmag, n° 12 (mars 2017)PermalinkGeodetic monitoring of subrosion-induced subsidence processes in urban areas / Tobias Kersten in Journal of applied geodesy, vol 11 n° 1 (March 2017)PermalinkFirst results of ground displacement monitoring in Paris (France) with Sentinel 1 A/B time series / Matthias Jauvin (2017)Permalink