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Spatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model / Mariana Madruga de bruto in International journal of geographical information science IJGIS, vol 33 n° 9 (September 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 33 n° 9 (September 2019) . - pp 1788-1806 Titre : Spatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model Type de document : Article/Communication Auteurs : Mariana Madruga de bruto, Auteur ; Adrian Almoradie, Auteur ; Mariele Evers, Auteur Année de publication : 2019 Article en page(s) : pp 1788-1806 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] analyse multicritère [Termes descripteurs IGN] Brésil [Termes descripteurs IGN] Geospatial data abstraction library [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] inondation [Termes descripteurs IGN] méthode robuste [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] processus d'analyse hiérarchisée [Termes descripteurs IGN] Python (langage de programmation) [Termes descripteurs IGN] vulnérabilité [Termes descripteurs IGN] zone à risque Résumé : (auteur) This study presents a methodology for conducting sensitivity and uncertainty analysis of a GIS-based multi-criteria model used to assess flood vulnerability in a case study in Brazil. The paper explores the robustness of model outcomes against slight changes in criteria weights. One criterion was varied at-a-time, while others were fixed to their baseline values. An algorithm was developed using Python and a geospatial data abstraction library to automate the variation of weights, implement the ANP (analytic network process) tool, reclassify the raster results, compute the class switches, and generate an uncertainty surface. Results helped to identify highly vulnerable areas that are burdened by high uncertainty and to investigate which criteria contribute to this uncertainty. Overall, the criteria ‘houses with improper building material’ and ‘evacuation drills and training’ are the most sensitive ones, thus, requiring more accurate measurements. The sensitivity of these criteria is explained by their weights in the base run, their spatial distribution, and the spatial resolution. These findings can support decision makers to characterize, report, and mitigate uncertainty in vulnerability assessment. The case study results demonstrate that the developed approach is simple, flexible, transparent, and may be applied to other complex spatial problems. Numéro de notice : A2019-389 Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1599125 date de publication en ligne : 05/04/2019 En ligne : https://doi.org/10.1080/13658816.2019.1599125 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93480 [article]

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Monitoring of extreme land hydrology events in central Poland using GRACE, land surface models and absolute gravity data / Joanna Kuczynska-Siehien in Journal of applied geodesy, vol 13 n° 3 (July 2019)  

Public [article]  inJournal of applied geodesy > vol 13 n° 3 (July 2019) . - pp 229 – 243 Titre : Monitoring of extreme land hydrology events in central Poland using GRACE, land surface models and absolute gravity data Type de document : Article/Communication Auteurs : Joanna Kuczynska-Siehien, Auteur ; Dimitrios Piretzidis, Auteur ; Michael G. Sideris, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 229 – 243 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes descripteurs IGN] analyse diachronique [Termes descripteurs IGN] analyse spectrale [Termes descripteurs IGN] données GLDAS [Termes descripteurs IGN] données GRACE [Termes descripteurs IGN] gravimètre absolu [Termes descripteurs IGN] inondation [Termes descripteurs IGN] levé gravimétrique [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] Pologne [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] sécheresse [Termes descripteurs IGN] surveillance hydrologique [Termes descripteurs IGN] variation temporelle Résumé : (auteur) This study deals with the analysis of temporal gravity variations in central Poland, deduced from multiple sources and covering the period from 2002–2016. The gravity data sets used comprise GRACE monthly solutions, GLDAS land surface models and absolute gravimeter measurements from the FG-5 gravimeter located in Józefosław, Poland. All data are corrected using standard processing methods in order to include the same gravity effects. After removing the annual and semi-annual components from all data using least-squares spectral analysis and seasonal-trend decomposition, the deseasoned time series are derived and examined for signatures of extreme hydrological events. The signatures of several severe drought and flood conditions affecting Poland and central Europe are identified. A complementary correlation analysis is performed to assess the level of agreement between different data sources. A higher correlation is shown when the analysis is restricted in the 2009–2012 period that includes the 2010 extreme flood and 2011 increased precipitation events, both affecting Poland. Numéro de notice : A2019-286 Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1515/jag-2019-0003 date de publication en ligne : 20/04/2019 En ligne : https://doi.org/10.1515/jag-2019-0003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93121 [article]

A multi‐objective framework for analysis of road network vulnerability for relief facility location during flood hazards : A case study of relief location analysis in Bankura District, India / Omprakash Chakraborty in Transactions in GIS, vol 22 n° 5 (October 2018)  

Public [article]  inTransactions in GIS > vol 22 n° 5 (October 2018) . - pp 1064 - 1082 Titre : A multi‐objective framework for analysis of road network vulnerability for relief facility location during flood hazards : A case study of relief location analysis in Bankura District, India Type de document : Article/Communication Auteurs : Omprakash Chakraborty, Auteur ; Arup Das, Auteur ; Arindam Dasgupta, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 1064 - 1082 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] Bengale-Occidental (Inde ; état) [Termes descripteurs IGN] gestion des risques [Termes descripteurs IGN] inondation [Termes descripteurs IGN] réseau routier [Termes descripteurs IGN] vulnérabilité Résumé : (Auteur) The location of disaster management facilities is a challenging and multifaceted problem. The road networks, population distribution along the road networks, and disaster risk maps are the major components for management of this problem. This article aims to decide on the location of such facilities for flood hazards in a region. The methodology is based on a multi‐objective framework. Objective functions include edge importance indices under fair weather and elevation parameters of the edges. Multiple scenarios are simulated for varying levels of hazard, and the outputs are analyzed. Analyses are carried out for the individual percentage loss of road links. A case study has been presented for the Bankura District in West Bengal, India. The inferences drawn from the results identify the critical links over the road networks of the region. The study also indicates locations in the region for relief facility setups to enable best‐serving capabilities and provide safe shelters, even in the most adverse flood conditions. The article depicts the vulnerability status of the road networks of the region. Further, it identifies the locations for relief facility provisioning that bring out the best road utilization and the best‐serving capabilities within the flood‐affected area under different flood levels. Numéro de notice : A2018-569 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12314 date de publication en ligne : 11/10/2018 En ligne : https://doi.org/10.1111/tgis.12314 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92288 [article]

Algorithm of land cover spatial data processing for the local flood risk mapping / Monika Siejka in Survey review, vol 50 n° 362 (August 2018)  

Public [article]  inSurvey review > vol 50 n° 362 (August 2018) . - pp 397 - 403 Titre : Algorithm of land cover spatial data processing for the local flood risk mapping Type de document : Article/Communication Auteurs : Monika Siejka, Auteur ; Monika Mika, Auteur ; Tomasz Salata, Auteur ; Przemysław Leń, Auteur Année de publication : 2018 Article en page(s) : pp 397 - 403 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] cartographie des risques [Termes descripteurs IGN] cours d'eau [Termes descripteurs IGN] inondation [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] Pologne [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] traitement de données localisées Résumé : (Auteur) Floods are a natural phenomenon that has always been and will pose a threat to people’s life and health, their property and the environment. Total elimination of the flood is impossible, but the current state of knowledge enables the use of the available tools in order to reduce the scale of these threats. The aim of the study is to develop a methodology of identification of the areas of hindered flow of water, located in the immediate vicinity of rivers. The proposed methodology is based on a study of the land cover. The developed algorithm of land cover spatial data processing for the local flood risk mapping implements GIS tools. Verification of the developed method was carried out on the example of selected rivers in Poland, only one of which is covered by the plans of flood risk management and causes periodic floodings. Numéro de notice : A2018-446 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2017.1287620 date de publication en ligne : 22/02/2017 En ligne : https://doi.org/10.1080/00396265.2017.1287620 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91031 [article]

Modeling of inland flood vulnerability zones through remote sensing and GIS techniques in the highland region of Papua New Guinea / Porejane Harley in Applied geomatics, vol 10 n° 2 (June 2018)  

Public [article]  inApplied geomatics > vol 10 n° 2 (June 2018) . - pp 159 - 171 Titre : Modeling of inland flood vulnerability zones through remote sensing and GIS techniques in the highland region of Papua New Guinea Type de document : Article/Communication Auteurs : Porejane Harley, Auteur ; Sailesh Samanta, Auteur Année de publication : 2018 Article en page(s) : pp 159 - 171 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] altitude [Termes descripteurs IGN] analyse multicritère [Termes descripteurs IGN] cartographie des risques [Termes descripteurs IGN] catastrophe naturelle [Termes descripteurs IGN] image Landsat-OLI [Termes descripteurs IGN] inondation [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] Papouasie-Nouvelle-Guinée [Termes descripteurs IGN] pente [Termes descripteurs IGN] processus d'analyse hiérarchisée [Termes descripteurs IGN] relief [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] texture du sol [Termes descripteurs IGN] vulnérabilité Résumé : (Auteur) Papua New Guinea (PNG) is saddled with frequent natural disasters like earthquakes, volcanic eruptions, landslides, droughts, floods, etc. Flooding, as a hydrological disaster to humankind’s niche, brings about a powerful and often sudden, pernicious change in the surface distribution of water on land, while the benevolence of flooding manifests in restoring the health of the thalweg from excessive siltation by redistributing the fertile sediments on the riverine floodplains. In respect to social, economic, and environmental perspectives, flooding is one of the most devastating disasters in PNG. This research is conducted to investigate the usefulness of remote sensing (RS), the geographic information system (GIS), and multi-criteria analysis (MCA) for flood susceptibility mapping. MCA methods such as weighted linear combination (WLC) and analytical hierarchy processes (AHP) were used to assess flood vulnerability in the Wahgi catchment area through RS and GIS technology. In the study, attention was focused on different parameters that cause flooding. These parameters include elevation, slope, distance from drainage, soil texture, soil drainage, rainfall, landform, and land use and land cover. The classes within parameters were ranked and suitably weighted depending on their influence to flooding with reference to the PNG Resource Information System (PNGRIS) metadata. The result of the analysis is a flood-susceptibility map showing the most vulnerable areas. This type of map is very useful for better management, planning, and mitigation of future flooding in the Wahgi catchment area. The validation of the flood-susceptibility map was carried out using past flood records in the study area. Numéro de notice : A2018-156 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-018-0220-8 date de publication en ligne : 04/05/2018 En ligne : https://doi.org/10.1007/s12518-018-0220-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89775 [article]

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)  

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Exploring the sensitivity of coastal inundation modelling to DEM vertical error / Harry West in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)  

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An open source framework for publishing flood inundation extent libraries in a Web GIS environment using open source technologies / Vinod Kumar Sharma in International journal of cartography, vol 4 n° 1 (March 2018)  

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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)  

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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)  

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Caractérisation et qualification de Modèles Numériques de Surfaces (MNS) - Analyse de la cohérence avec des masques d’eau / Guillaume Sutter (2018)

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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)  

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Restaurer les milieux et prévenir les inondations grâce au génie végétal / Freddy Rey (2018)    

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Changement climatique et risque inondation / William Halbecq in Géomatique expert, n° 119 (novembre - décembre 2017)

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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)  

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