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001433892 019__ $$a1228042786$$a1228153328$$a1241066116$$a1246358145$$a1249944022
001433892 020__ $$a9783030602277$$q(electronic bk.)
001433892 020__ $$a3030602273$$q(electronic bk.)
001433892 020__ $$z9783030602260
001433892 020__ $$z3030602265
001433892 0247_ $$a10.1007/978-3-030-60227-7$$2doi
001433892 035__ $$aSP(OCoLC)1237439721
001433892 040__ $$aSFB$$beng$$erda$$epn$$cSFB$$dOCLCO$$dGW5XE$$dOCLCO$$dYDX$$dEBLCP$$dOCLCF$$dUKAHL$$dDKU$$dBDX$$dLEATE$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCQ
001433892 049__ $$aISEA
001433892 050_4 $$aQE599.A1$$bW67 2020
001433892 08204 $$a551.3/07$$223
001433892 1112_ $$aWorld Landslide Forum$$n(5th :$$d2020 :$$cKyoto, Japan)
001433892 24510 $$aUnderstanding and reducing landslide disaster risk.$$nVolume 2,$$pFrom mapping to hazard and risk zonation /$$cFausto Guzzetti [and five others], editors.
001433892 24630 $$aFrom mapping to hazard and risk zonation
001433892 264_1 $$aCham :$$bSpringer,$$c[2021]
001433892 300__ $$a1 online resource (xxix, 505 pages) :$$billustrations (chiefly color)
001433892 336__ $$atext$$btxt$$2rdacontent
001433892 337__ $$acomputer$$bc$$2rdamedia
001433892 338__ $$aonline resource$$bcr$$2rdacarrier
001433892 347__ $$atext file
001433892 347__ $$bPDF
001433892 4901_ $$aICL contribution to landslide disaster risk reduction,$$x2662-1894
001433892 500__ $$aInternational conference proceedings.
001433892 5050_ $$aKyenotes: Landslide Recognition and Mapping for Slope Disaster Risk Reduction and Management -- Keynote Speech -- Landslide susceptibility mapping by interpretation of aerial photographs, AHP and precise DEM -- Landslide recognition and mapping: New landslide inventory map of the Sudetes Mountains (south-western Poland) -- Gullies as landforms for landslide initiation - examples from the Dubračina River Basin (Croatia) -- Opportunities and challenges of the object-oriented automatic landslide detection from the high resolution Digital Elevation Model -- Can Repeat LiDAR Surveys Locate Future Massive Landslides? -- Semi-automatic Landslide Inventory Mapping with Multiresolution Segmentation Process: A Case Study from Ulus District (Bartin, NW Turkey) -- Landslide mapping based on UAV and SfM - Case study of the 2018 Prnjavor Čuntićki landslide, Croatia -- Developing recognition and simple mapping by UAV/SfM for local resident in mountainous area in Vietnam - A case study in Po Xi Ngai Community, Laocai province -- Landslide activity classification based on Sentinel-1 satellite radar interferometry data -- Updating Landslide Activity State and Intensity by Means of Persistent Scatterer Interferometry -- Damming predisposition of river networks: a mapping methodology -- Landslides along Halong-Vandon Expressway in Quang Ninh province, Vietnam -- Landslide hazard assessment and zonation - susceptibility modelling: New data on geological conditions of landslide activity on Vorobyovy Gory (Moscow, Russia) -- Impact of agricultural management in vineyards to landslides susceptibility in Italian Apennines -- Landslide susceptibility in two secondary rivers of La Ciénega watershed, Nevado de Toluca volcano, Mexico -- An Ordinal Scale Weighting Approach for Susceptibility Mapping Around Tehri Dam, Uttarakhand, India -- Potential Analysis of Deep-seated Landslides Caused by Typhoon Morakot Using Slope Unit -- Landslide susceptibility assessment using binary logistic regression in northern Philippines Landslide Hazard Mapping of Penang Island Malaysia based on Multilayer Perceptron Approach -- Landslide Susceptibility Mapping Based on the Deep Belief Network: A Case Study in Sichuan Province, China -- A Comparative study of deep learning and conventional neural network forevaluating landslide susceptibility using landslide initiation zones -- Landslide susceptibility assessment by ensemble-based Machine Learning models -- Application of Machine Learning Algorithms and Their Ensemble for Landslide Susceptibility Mapping -- Overcoming data scarcity related issues for landslide susceptibility modeling with machine learning -- Practical accounting of uncertainties in data-driven landslide susceptibility models. Examples from the Lanzhou case study -- Assessment of shallow landslides susceptibility using SHALSTAB and SINMAP at Serra do Mar, Brazil -- Regional slope stability analysis in landslide hazard assessment context, North Macedonia example -- Applying the Newmark model in the assessment of earthquake triggered landslides during the 2017 Ms 7.0 Jiuzhaigou earthquake, China -- Evaluation of secondary landslide susceptibility for the rescue activity using LiDAR UAV data -- Methodology for landslides assessment causing river channel obstructions and the consequent water shortage in rural communities -- Landslide hazard assessment and zonation - temporal and size modelling: Landslide Size Distribution Characteristics of Cretaceous and Eocene Flysch Assemblages in the Western Black Sea Region of Turkey -- A statistical exploratory analysis of inventoried slide-type movements for South Tyrol (Italy) -- Assessing landslide volume for landform hazard zoning purposes -- Empirical relationships to estimate the probability of runout exceedance for various landslide types -- Rapid sensitivity analysis for reducing uncertainty in landslide hazard assessment -- Applying debris flow simulation for detailed hazard and risk mapping -- Debris-Flow Peak Discharge Calculation Model Based on Erosion Zoning -- Assessment of rainfall-induced landslides in Tomioka city, Gunma Prefecture, Japan (Oct 2019) based on a simple prediction model and assumption parameters -- Rainfall-induced lahar occurrences shortly after eruptions and its initiation processes in Japan -- Spatiotemporal Assessment of Geological Hazard Safety along Railway Engineering using a Novel Method: A Case Study of the Sichuan-Tibet Railway, China -- Slope Stability and Landslide Hazard in Volubilis Archaeological Site (Morocco) -- Landslide data and information for disaster mitigation: Slope Hazard and Risk Mapping Project (PBRC) - An Overview of Disaster Risk Reduction Initiative -- Risk-informed Land Use Planning for Landslide Disaster Risk Reduction -- Landslides in steep-slope agricultural landscapes -- From satellite images to field survey: a complete scheme of lanslide InSAR monitoring -- Slope disaster risk reduction map as a communication tool for community based DRR in Japan & Vietnam -- Landslide vulnerability of people, communities and the built environment: People vulnerability to landslide: risky behaviours and dangerous conditions by gender and age -- Using mixed-methods to understand community vulnerability to debris flows in Montecito, CA -- Innovation in analysis and forecasting of vulnerability to slow-moving landslides -- Sentinel-1 PSI data for the evaluation of landslide geohazard and impact -- On the use of UAVs for landslide exposure of households: La Gloria neighbourhood, Teziutlán, Puebla -- Ordinal Logistic Regression to automatic classify shallow landslide risk level in Sao Paulo city, Brazil -- Site-specific risk assessment of buildings exposed to rock fall in India- A case study -- Cutting-edge technologies aiming for better outcomes of landslide disaster mitigation.
001433892 506__ $$aAccess limited to authorized users.
001433892 520__ $$aThis book is a part of ICL new book series "ICL Contribution to Landslide Disaster Risk Reduction" founded in 2019. Peer-reviewed papers submitted to the Fifth World Landslide Forum were published in six volumes of this book series. This book contains the followings: • Keynotes • Landslide detection, recognition and mapping • Landslide susceptibility assessment and modelling • Landslide size statistics and temporal modelling • Data and information for landslide disaster mitigation • Vulnerability to landslides of people, communities and the built environment Dr. Fausto Guzzetti is General Director of Office III - Technical and Scientific Activities for Risk Forecasting and Prevention, Department of Civil Protection, Italian Presidency of the Council of Ministers, on leave from the Italian National Research Council. Prof. Snježana Mihalić Arbanas is a Full Professor of the Faculty of Mining, Geology and Petroleum Engineering of the University of Zagreb, Croatia. She is the Chair of ICL Network Committee. Paola Reichenbach is a Senior Researcher of the Research Institute for Geo-Hydrological Protection, an institute of the Italian National Research Council (IRPI-CNR), Perugia, Italy. Prof. Kyoji Sassa is the Founding President and the Secretary-General of the International Consortium on Landslides (ICL). He has been the Editor-in-Chief of International Journal Landslides since its foundation in 2004. Prof. Peter Bobrowsky is the President of the International Consortium on Landslides. He is a Senior Scientist of Geological Survey of Canada, Ottawa, Canada. Prof. Kaoru Takara is the Executive Director of the International Consortium on Landslides. He is a Professor and Dean of Graduate School of Advanced Integrated Studies (GSAIS) in Human Survivability (Shishu-Kan), Kyoto University.
001433892 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 26, 2021).
001433892 650_0 $$aLandslides$$vCongresses.
001433892 650_0 $$aLandslide hazard analysis$$vCongresses.
001433892 650_0 $$aHazard mitigation$$vCongresses.
001433892 650_0 $$aNatural disasters.
001433892 650_0 $$aEnvironmental management.
001433892 650_0 $$aEnvironmental policy.
001433892 650_6 $$aCatastrophes$$xRéduction$$vCongrès.
001433892 650_6 $$aCatastrophes naturelles.
001433892 650_6 $$aEnvironnement$$xGestion.
001433892 650_6 $$aEnvironnement$$xPolitique gouvernementale.
001433892 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001433892 655_7 $$aConference papers and proceedings.$$2lcgft
001433892 655_7 $$aActes de congrès.$$2rvmgf
001433892 655_0 $$aElectronic books.
001433892 7001_ $$aGuzzetti, Fausto,$$eeditor.
001433892 77608 $$z3030602265
001433892 830_0 $$aICL contribution to landslide disaster risk reduction.$$x2662-1894
001433892 852__ $$bebk
001433892 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-60227-7$$zOnline Access$$91397441.1
001433892 909CO $$ooai:library.usi.edu:1433892$$pGLOBAL_SET
001433892 980__ $$aBIB
001433892 980__ $$aEBOOK
001433892 982__ $$aEbook
001433892 983__ $$aOnline
001433892 994__ $$a92$$bISE