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Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools / Sassa, Kyoji ; Guzzetti, Fausto ; Yamagishi, Hiromitsu ; Arbanas, Željko ; Casagli, Nicola ; McSaveney, Mauri ; Dang, Khang
TÃtulo : Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools : Volume 1: Fundamentals, Mapping and Monitoring Tipo de documento: documento electrónico Autores: Sassa, Kyoji, ; Guzzetti, Fausto, ; Yamagishi, Hiromitsu, ; Arbanas, Željko, ; Casagli, Nicola, ; McSaveney, Mauri, ; Dang, Khang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XVII, 604 p. 477 ilustraciones, 435 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-57774-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Desastres naturales IngenierÃa geotécnica GeomorfologÃa Sistemas de Información Geográfica Monitoreo ambiental Aprendizaje PsicologÃa de Peligros Naturales IngenierÃa Geotécnica y Ciencias de la Tierra Aplicadas Sistema de información Geográfica PsicologÃa Instruccional Clasificación: 551 Resumen: Este libro interactivo presenta información completa sobre los fundamentos de los tipos y dinámicas de los deslizamientos de tierra, al mismo tiempo que proporciona un conjunto de herramientas PPT, PDF y texto para la educación y el desarrollo de capacidades. Como actividad central de las Asociaciones de Sendai, el Consorcio Internacional de Deslizamientos de Tierra ha creado este trabajo de dos volúmenes, que se actualizará y mejorará periódicamente durante los próximos años, en función de las respuestas de los usuarios y las lecciones aprendidas durante su aplicación. Nota de contenido: Fundamentals -- Part 1: Mapping and Site Prediction -- Basic Mapping -- Site Prediction Using GIS -- Field Guidelines -- Part 2: Monitoring and Early Warning -- Remote Sensing Techniques for Landslide Monitoring -- Monitoring Systems Instrumentation -- Rainfall Threshold for Landslide Prediction -- Landslide Time Prediction from Pre-failure Movement Monitoring -- Guidelines for Landslide Monitoring and Early Warning Systems. Tipo de medio : Computadora Summary : This interactive book presents comprehensive information on the fundamentals of landslide types and dynamics, while also providing a set of PPT, PDF, and text tools for education and capacity development. As the core activity of the Sendai Partnerships, the International Consortium of Landslides has created this two-volume work, which will be regularly updated and improved over the coming years, based on responses from users and lessons learned during its application. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools : Volume 1: Fundamentals, Mapping and Monitoring [documento electrónico] / Sassa, Kyoji, ; Guzzetti, Fausto, ; Yamagishi, Hiromitsu, ; Arbanas, Željko, ; Casagli, Nicola, ; McSaveney, Mauri, ; Dang, Khang, . - 1 ed. . - [s.l.] : Springer, 2018 . - XVII, 604 p. 477 ilustraciones, 435 ilustraciones en color.
ISBN : 978-3-319-57774-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Desastres naturales IngenierÃa geotécnica GeomorfologÃa Sistemas de Información Geográfica Monitoreo ambiental Aprendizaje PsicologÃa de Peligros Naturales IngenierÃa Geotécnica y Ciencias de la Tierra Aplicadas Sistema de información Geográfica PsicologÃa Instruccional Clasificación: 551 Resumen: Este libro interactivo presenta información completa sobre los fundamentos de los tipos y dinámicas de los deslizamientos de tierra, al mismo tiempo que proporciona un conjunto de herramientas PPT, PDF y texto para la educación y el desarrollo de capacidades. Como actividad central de las Asociaciones de Sendai, el Consorcio Internacional de Deslizamientos de Tierra ha creado este trabajo de dos volúmenes, que se actualizará y mejorará periódicamente durante los próximos años, en función de las respuestas de los usuarios y las lecciones aprendidas durante su aplicación. Nota de contenido: Fundamentals -- Part 1: Mapping and Site Prediction -- Basic Mapping -- Site Prediction Using GIS -- Field Guidelines -- Part 2: Monitoring and Early Warning -- Remote Sensing Techniques for Landslide Monitoring -- Monitoring Systems Instrumentation -- Rainfall Threshold for Landslide Prediction -- Landslide Time Prediction from Pre-failure Movement Monitoring -- Guidelines for Landslide Monitoring and Early Warning Systems. Tipo de medio : Computadora Summary : This interactive book presents comprehensive information on the fundamentals of landslide types and dynamics, while also providing a set of PPT, PDF, and text tools for education and capacity development. As the core activity of the Sendai Partnerships, the International Consortium of Landslides has created this two-volume work, which will be regularly updated and improved over the coming years, based on responses from users and lessons learned during its application. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Understanding and Reducing Landslide Disaster Risk / Guzzetti, Fausto ; Mihalić Arbanas, Snježana ; Reichenbach, Paola ; Sassa, Kyoji ; Bobrowsky, Peter T. ; Takara, Kaoru
TÃtulo : Understanding and Reducing Landslide Disaster Risk : Volume 2 From Mapping to Hazard and Risk Zonation Tipo de documento: documento electrónico Autores: Guzzetti, Fausto, ; Mihalić Arbanas, Snježana, ; Reichenbach, Paola, ; Sassa, Kyoji, ; Bobrowsky, Peter T., ; Takara, Kaoru, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXIX, 505 p. 417 ilustraciones, 385 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-60227-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Desastres naturales Gestión ambiental PolÃtica de medio ambiente Peligros Naturales Clasificación: 551 Resumen: Este libro es parte de la nueva serie de libros de ICL "Contribución de ICL a la reducción del riesgo de desastres por deslizamientos de tierra", fundada en 2019. Los artÃculos revisados ​​por pares presentados al Quinto Foro Mundial sobre Deslizamientos de Tierra se publicaron en seis volúmenes de esta serie de libros. Este libro contiene lo siguiente: • Conferencias magistrales • Detección, reconocimiento y mapeo de deslizamientos de tierra • Evaluación y modelado de la susceptibilidad a los deslizamientos de tierra • EstadÃsticas del tamaño de los deslizamientos de tierra y modelado temporal • Datos e información para la mitigación de desastres por deslizamientos de tierra • Vulnerabilidad a los deslizamientos de tierra de las personas, las comunidades y el entorno construido Dr. Fausto Guzzetti es Director General de la Oficina III – Actividades Técnicas y CientÃficas para la Previsión y Prevención de Riesgos, Departamento de Protección Civil, Presidencia italiana del Consejo de Ministros, con licencia del Consejo Nacional de Investigación de Italia. La Prof. Snježana Mihalić Arbanas es profesora titular de la Facultad de IngenierÃa de Minas, GeologÃa e IngenierÃa del Petróleo de la Universidad de Zagreb, Croacia. Es la presidenta del Comité de la Red ICL. Paola Reichenbach es investigadora principal del Instituto de Investigación para la Protección Geohidrológica, un instituto del Consejo Nacional de Investigación de Italia (IRPI-CNR), Perugia, Italia. El Prof. Kyoji Sassa es el presidente fundador y secretario general del Consorcio Internacional sobre Deslizamientos de Tierra (ICL). Ha sido el editor en jefe de la revista International Journal Landslides desde su fundación en 2004. El Prof. Peter Bobrowsky es el presidente del Consorcio Internacional sobre Deslizamientos de Tierra. Es cientÃfico senior del Servicio Geológico de Canadá, Ottawa, Canadá. El Prof. Kaoru Takara es el Director Ejecutivo del Consorcio Internacional sobre Deslizamientos de Tierra. Es profesor y decano de la Escuela de Graduados de Estudios Integrados Avanzados (GSAIS) en Supervivencia Humana (Shishu-Kan) de la Universidad de Kyoto. Nota de contenido: Kyenotes: 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 DubraÄina 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 ÄŒuntićki 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 Newmarkmodel 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. Tipo de medio : Computadora Summary : This 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 theUniversity 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Understanding and Reducing Landslide Disaster Risk : Volume 2 From Mapping to Hazard and Risk Zonation [documento electrónico] / Guzzetti, Fausto, ; Mihalić Arbanas, Snježana, ; Reichenbach, Paola, ; Sassa, Kyoji, ; Bobrowsky, Peter T., ; Takara, Kaoru, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXIX, 505 p. 417 ilustraciones, 385 ilustraciones en color.
ISBN : 978-3-030-60227-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Desastres naturales Gestión ambiental PolÃtica de medio ambiente Peligros Naturales Clasificación: 551 Resumen: Este libro es parte de la nueva serie de libros de ICL "Contribución de ICL a la reducción del riesgo de desastres por deslizamientos de tierra", fundada en 2019. Los artÃculos revisados ​​por pares presentados al Quinto Foro Mundial sobre Deslizamientos de Tierra se publicaron en seis volúmenes de esta serie de libros. Este libro contiene lo siguiente: • Conferencias magistrales • Detección, reconocimiento y mapeo de deslizamientos de tierra • Evaluación y modelado de la susceptibilidad a los deslizamientos de tierra • EstadÃsticas del tamaño de los deslizamientos de tierra y modelado temporal • Datos e información para la mitigación de desastres por deslizamientos de tierra • Vulnerabilidad a los deslizamientos de tierra de las personas, las comunidades y el entorno construido Dr. Fausto Guzzetti es Director General de la Oficina III – Actividades Técnicas y CientÃficas para la Previsión y Prevención de Riesgos, Departamento de Protección Civil, Presidencia italiana del Consejo de Ministros, con licencia del Consejo Nacional de Investigación de Italia. La Prof. Snježana Mihalić Arbanas es profesora titular de la Facultad de IngenierÃa de Minas, GeologÃa e IngenierÃa del Petróleo de la Universidad de Zagreb, Croacia. Es la presidenta del Comité de la Red ICL. Paola Reichenbach es investigadora principal del Instituto de Investigación para la Protección Geohidrológica, un instituto del Consejo Nacional de Investigación de Italia (IRPI-CNR), Perugia, Italia. El Prof. Kyoji Sassa es el presidente fundador y secretario general del Consorcio Internacional sobre Deslizamientos de Tierra (ICL). Ha sido el editor en jefe de la revista International Journal Landslides desde su fundación en 2004. El Prof. Peter Bobrowsky es el presidente del Consorcio Internacional sobre Deslizamientos de Tierra. Es cientÃfico senior del Servicio Geológico de Canadá, Ottawa, Canadá. El Prof. Kaoru Takara es el Director Ejecutivo del Consorcio Internacional sobre Deslizamientos de Tierra. Es profesor y decano de la Escuela de Graduados de Estudios Integrados Avanzados (GSAIS) en Supervivencia Humana (Shishu-Kan) de la Universidad de Kyoto. Nota de contenido: Kyenotes: 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 DubraÄina 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 ÄŒuntićki 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 Newmarkmodel 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. Tipo de medio : Computadora Summary : This 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 theUniversity 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]