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Titre : Flood forecasting using machine learning methods Type de document : Monographie Auteurs : Fi-John Chang, Éditeur scientifique ; Kuolin Hsu, Éditeur scientifique ; Li-Chiu Chang, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 376 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03897-548-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage profond
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] image à haute résolution
[Termes IGN] inondation
[Termes IGN] modèle de simulation
[Termes IGN] modèle hydrographique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] prévention des risques
[Termes IGN] réseau neuronal artificiel
[Termes IGN] ruissellementRésumé : (éditeur) Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective. Note de contenu : Preface
1- Building an intelligent hydroinformatics integration platform for regional flood inundation warning systems
2- Flood prediction using machine learning models: Literature review
3- Forward prediction of runoff data in data-scarce basins with an improved ensemble empirical mode decomposition (EEMD) model
4- Extraction of urban water bodies from high-resolution remote-sensing imagery using
deep learning
5- Data pre-analysis and ensemble of various artificial neural networks for monthly
streamflow forecasting
6- Physical hybrid neural network model to forecast typhoon floods
7- Improving the Muskingum flood routing method using a hybrid of particle swarm
optimization and bat algorithm
8- Flood hydrograph prediction using machine learning methods
9- Flood routing in river reaches using a three-parameter Muskingum model coupled with an improved bat algorithm
10- New hybrids of ANFIS with several optimization algorithms for flood susceptibility modeling
11- Building ANN-based regional multi-step-ahead flood inundation forecast models
12- Identifying the sensitivity of ensemble streamflow prediction by artificial intelligence
13- Flood forecasting based on an improved extreme learning machine model combined with the backtracking search optimization algorithm
14- Dongting Lake water level forecast and its relationship with the three gorges dam based on a long short-term memory network
15- Multi-objective parameter estimation of improved Muskingum model by wolf pack algorithm and its application in Upper Hanjiang River, China
16- Flash-flood forecasting in an Andean mountain catchment—development of a step-wise
methodology based on the random forest algorithm
17- Deep learning with a long short-term memory networks approach for rainfall-runoff
simulation
18- Flood routing model with particle filter-based data assimilation for flash flood forecasting in the micro-model of lower Yellow River, China
19- Application of artificial neural networks for accuracy enhancements of real-time flood forecasting in the Imjin BasinNuméro de notice : 25927 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : https://doi.org/10.3390/books978-3-03897-549-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96181 Ground displacement measurements / Louis-Marie Gauer (2019)
Titre : Ground displacement measurements Type de document : Mémoire Auteurs : Louis-Marie Gauer, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2019 Importance : 42 p. Format : 21 x 30 cm Note générale : Bibliographie
Rapport de projet pluridisciplinaire, cycle ING2Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] chaîne de traitement
[Termes IGN] corrélation temporelle
[Termes IGN] déformation de la croute terrestre
[Termes IGN] données spatiotemporelles
[Termes IGN] hydrocarbure
[Termes IGN] image radar
[Termes IGN] surveillance géologiqueIndex. décimale : PROJET Mémoires : Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) Ce projet a pour but de déterminer s’il est possible de mesurer des déplacements du sol à partir de données satellite. Deux méthodes différentes ont été étudiées: une méthode issue de l’analyse du déplacement de pixels par corrélation de deux images et une seconde méthode analysant l’évolution de la phase d’images RADAR au cours du temps en des points précis. Le but de ces mesures est d’aider à la recherche d’hydrocarbures de manière plus rapide et sans déplacement sur zone. De même, elles devraient aussi aider à la surveillance de l’exploitation de ces hydrocarbures dans les cas où ces exploitations mèneraient à des déplacements du sol dangereux pour les populations aux alentours. Ces deux méthodes ont par la suite mené à la mise en place d’une chaîne de traitement et d’une documentation associée, depuis la réception des données à l’obtention des résultats. Note de contenu : Introduction
1. Pixel correlation in visible pictures
1.1 Theory
1.2 Softwares
1.3 Results
2. InSAR
2.1 Theory
2.2 Provider, Softwares and Workflow
2.3 Tests and results
Conclusion
APPENDIX
2.4 MicMac
2.5 InSARNuméro de notice : 26104 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Terra-Scan Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93849
Titre : Innovative geo-information tools for governance Type de document : Monographie Auteurs : Yola Georgiadou, Éditeur scientifique ; Diana Reckien, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 186 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-03921-338-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] chaleur
[Termes IGN] changement climatique
[Termes IGN] énergie renouvelable
[Termes IGN] gestion de l'eau
[Termes IGN] information géographique
[Termes IGN] outil d'aide à la décision
[Termes IGN] politique publique
[Termes IGN] recherche interdisciplinaire
[Termes IGN] surveillance hydrologique
[Termes IGN] téléphone intelligent
[Termes IGN] urbanisationRésumé : (éditeur) In current times, highly complex and urgent policy problems--e.g., climate change, rapid urbanization, equitable access to key services, land rights, and massive human resettlement--challenge citizens, NGOs, private corporations, and governments at all levels. These policy problems, often called 'wicked', involve multiple causal factors, anticipated and unanticipated effects, as well as high levels of disagreement among stakeholders about the nature of the problem and the appropriateness of solutions. Given the wickedness of such policy problems, interdisciplinary and longitudinal research is required, integrating and harnessing the diverse skills and knowledge of urban planners, anthropologists, geographers, geo-information scientists, economists, and others. This Special Issue promotes innovative concepts, methods, and tools, as well as the role of geo-information, to help (1) analyze alternative policy solutions, (2) facilitate stakeholder dialogue, and (3) explore possibilities for tackling wicked problems related to climate change, rapid urbanization, equitable access to key services (such as water and health), land rights, and human resettlements in high-, middle-, and low-income countries in the North and South. Such integrative approaches can deepen our understanding of how different levels of government and governance reach consensus, despite diverging beliefs and preferences. Due to the particularly complex spatiotemporal characteristics of wicked policy problems, innovative concepts, alternative methods, and new geo-information tools play a significant role. Note de contenu : 1- Monitoring Rural Water Points in Tanzania with Mobile Phones: The Evolution of the
SEMA App
2- An Interactive Planning Support Tool for Addressing Social Acceptance of Renewable Energy Projects in The Netherlands
3- The Governance Landscape of Geospatial E-Services—The Belgian Case
4- Closing Data Gaps with Citizen Science?Findings from the Danube Region
5- Tensions in Rural Water Governance: The Elusive Functioning of Rural Water Points in Tanzania
6- Evolving Spatial Data Infrastructures and the Role of Adaptive Governance
7- Wicked Water Points: The Quest for an Error Free National Water Point Database
8- What do New Yorkers Think about Impacts and Adaptation to Heat Waves? An Evaluation
Tool to Incorporate Perception of Low-Income Groups into Heat Wave Adaptation Scenarios in New York City
9-Numéro de notice : 25988 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Monographie DOI : 10.3390/books978-3-03921-338-2 En ligne : https://doi.org/10.3390/books978-3-03921-338-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96754
Titre : Natural hazards Type de document : Monographie Auteurs : John P. Tiefenbacher, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2019 Importance : 276 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-78984-086-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] barrage
[Termes IGN] distribution spatiale
[Termes IGN] environnement
[Termes IGN] gestion des risques
[Termes IGN] inondation
[Termes IGN] modèle de simulation
[Termes IGN] prévention des risques
[Termes IGN] risque naturel
[Termes IGN] risque technologique
[Termes IGN] sécurité nucléaire
[Termes IGN] séisme
[Termes IGN] surveillance d'ouvrage
[Termes IGN] viaducRésumé : (éditeur) Natural Hazards - Risk, Exposure, Response, and Resilience demonstrates advanced techniques to measure risks, exposures, responses, and solutions to hazards in an array of communities. Eleven original research reports by international scholars on hazard assessment and management are organized into four sections: studies assessing risk using in-depth modeling and technological detection to provide insight into problems associated with earthquakes, torrential rains, and nuclear power plant safety; studies revealing the spatial distributions of exposure and impacts from an assortment of hazards; studies examining human response to increased awareness of the patterns of hazard; and a study demonstrating assessment of resilience of sociotechnological systems to natural hazards. This volume contributes new conceptual and practical commentaries to assess, mitigate, and plan for disasters. Note de contenu : 1- Assessing seismic hazard in Chile using deep neural networks
2- Strong rainfall in Mato Grosso do Sul, Brazil: Synoptic analysis and numerical simulation
3- Natural hazards and nuclear power plant safety
4- Estimation of shear wave velocity profiles employing genetic algorithms and the diffuse field approach on microtremors array: Implications on liquefaction hazard at Port of Spain, Trinidad
5- Long-wave generation due to atmospheric-pressure variation and harbor oscillation in harbors of various shapes and countermeasures against meteotsunamis
6- Identification and assessment of hazard of development in gypsum karst regions: Examples from Turkey
7- Dam retirement and decision-making
8- Seismic hazard of viaduct transportation infrastructure
9- Determinants of coping strategies to floods and droughts in multiple geo-Ecological zones
10- Emergency communications network for disaster management
11- Interview of natural hazards anresilience of sociotechnological systems to natural hazardsNuméro de notice : 25944 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.77841 En ligne : https://doi.org/10.5772/intechopen.77841 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96333
Titre : Nature-based flood risk management on private land : Disciplinary Perspectives on a Multidisciplinary Challenge Type de document : Monographie Auteurs : Thomas Hartmann, Auteur ; Lenka Slavíková, Auteur ; Simon McCarthy, Auteur Editeur : Springer Nature Année de publication : 2019 Importance : 228 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-23842-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aménagement du territoire
[Termes IGN] capacité de rétention d'eau du sol
[Termes IGN] changement climatique
[Termes IGN] digue
[Termes IGN] Europe centrale
[Termes IGN] gestion des risques
[Termes IGN] inondation
[Termes IGN] Pays-Bas
[Termes IGN] Pologne
[Termes IGN] prévention des risques
[Termes IGN] surveillance hydrologiqueRésumé : (éditeur) This open access book addresses the various disciplinary aspects of nature-based solutions in flood risk management on private land. In recent decades, water management has been moving towards nature-based solutions. These are assumed to be much more multi-purpose than traditional “grey infrastructures” and seem to be regarded as a panacea for many environmental issues. At the same time, such measures require more – and mostly privately owned – land and more diverse stakeholder involvement than traditional (grey) engineering approaches. They also present challenges related to different disciplines. Nature-based solutions for flood risk management not only require technical expertise, but also call for interdisciplinary insights from land-use planning, economics, property rights, sociology, landscape planning, ecology, hydrology, agriculture and other disciplines to address the challenges of implementing them. Ultimately, nature-based flood risk management is a multi-disciplinary endeavor. Featuring numerous case studies of nature-based flood risk management accompanied by commentaries, this book presents brief academic reflections from two different disciplinary perspectives that critically highlight which specific aspects are of significance, and as such, underscore the multi-disciplinary nature of the challenges faced. Note de contenu : I- Introduction
II- Water Retention in the Polish Forests
III- Small Scale NWRM in the Czech Republic
IV- Floodplain Development in Flanders
V- Wetlands Restoration in Czech Republic
VI- A Regional Flood Management in Austria
VII- Dike Relocation in Germany
VIII- Multi-Use Climate Adaptation in the Netherlands
IX- ConclusionNuméro de notice : 25888 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : http://library.oapen.org/handle/20.500.12657/22861 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96099 PermalinkPermalinkUrban deformation monitoring using persistent scatterer Interferometry and SAR tomography / Michele Crosetto (2019)PermalinkLong-term land deformation monitoring using quasi-persistent scatterer (Q-PS) technique observed by sentinel-1A : case study Kelok Sembilan / Pakhrur Razi in Advances in Remote Sensing, vol 7 n° 4 (December 2018)PermalinkFuture management options for cembran pine forests close to the alpine timberline / Nathalia Jandl in Annals of Forest Science, vol 75 n° 3 (September 2018)PermalinkInvestigation of the success of monitoring slow motion landslides using Persistent Scatterer Interferometry and GNSS methods / K.O. Hastaoglu in Survey review, vol 50 n° 363 (September 2018)PermalinkLive fuel moisture content (LFMC) time series for multiple sites and species in the French Mediterranean area since 1996 / N. Martin-St Paul in Annals of Forest Science, vol 75 n° 2 (June 2018)PermalinkError-regulated multi-pass DInSAR analysis for landslide risk assessment / Jung Rack Kim in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 4 (April 2018)PermalinkOptimization of deformation monitoring networks using finite element strain analysis / M. Amin Alizadeh-Khameneh in Journal of applied geodesy, vol 12 n° 2 (April 2018)PermalinkAutomated delineation of wildfire areas using Sentinel-2 satellite imagery / Mira Weirather in GI Forum, vol 2018 n° 1 ([01/01/2018])Permalink