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In recent years, landslides and their impacts have drawn increasing awareness globally, regionally, and locally. Landslides as catastrophic events can cause human injury, loss of life, and economic devastation as well as destroy infrastructures and cultural and natural heritage. New technologies, including interferometric synthetic aperture radar (InSAR) and geographic information systems (GIS), are being thoroughly adopted and applied to dynamic and process monitoring and modelling of coal mine and marine landslides, land subsidence, and tsunami landslides. These technologies are also being used for hazard mapping and assessment, early warning and evacuation, and regional or local landslide mitigation. This book discusses these topics and more.
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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
landslides --- climate change impacts --- geomorphology --- landslide early warning system --- landslide modeling --- landslide hazard assessment --- debris flow --- flash flood --- glacial lake overbust flood --- Anthropocene
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Landslides are among the most widespread and frequent natural hazards. Landsliding is linked to the combination of geological, geomorphological, and climatic factors in response to trigger mechanisms, mostly represented by heavy rainfall events, seismicity, or human action. Landslides directly and indirectly impact a territory, causing fatalities and huge socio-economic losses. Consequently, to avoid serious consequences and support sustainable territorial planning, there is a clear need of correct land use policies and best practices for long-term risk mitigation and reduction. In this context, geomorphological field activities, satellite remote sensing, landslide susceptibility mapping, and innovative GIS analysis offer effective support for mapping and monitoring landslides’ activity at both the local and regional scales. All landslide types are considered, from rockfalls to debris flows, from slow-moving slides to very rapid rock avalanches. Contributions to this Special Issue report key advances in landslide susceptibility mapping, environmental risk management in mass movement-prone areas, and landslide analysis in different geomorphological/morphostructural environments. Each article describes a distinct methodological approach to accurately investigate landslide phenomena and assess slope stability. Each article provides a scientific basis useful for the implementation of land planning, civil protection activities, and mitigation measures in different geological–geomorphological frameworks.
Kenya --- landslide susceptibility --- fuzzy analytic hierarchy process --- triangular fuzzy numbers --- GIS --- interaction matrix --- heuristic --- susceptibility --- inventory --- Greece --- historical landslides --- multitemporal analysis --- geomorphological mapping --- GIS analysis --- piedmont area --- Abruzzo Region --- landslide --- hydromechanical modeling --- early-warning --- slope stability --- rainfall-induced landslides --- local factor of safety --- SoilNet --- geophysical characterization --- water content distribution --- bedrock topography --- large-scale landslides --- DSGSDs --- normal faults and overthrusts --- Sibillini Mts. --- Central Apennines --- Italy --- risk --- soil sealing --- landslides --- factor of safety --- numerical models --- Hoek–Brown method --- monoclinal setting --- hybrid modeling --- Geographical Detector --- information value --- machine learning --- Kerala --- hazard --- hydroseeding --- slope --- vegetation --- AHP --- snow avalanche --- mass movements-prone areas --- hazard assessment --- climate extremization --- environmental risk --- Gran Sasso Massif --- morphotectonic --- morphostratigraphy --- DGSDs --- river capture --- fluvial terraces --- Sardinia --- n/a --- Hoek-Brown method
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Landslides are destructive processes causing casualties and damage worldwide. The majority of the landslides are triggered by intense and/or prolonged rainfall. Therefore, the prediction of the occurrence of rainfall-induced landslides is an important scientific and social issue. To mitigate the risk posed by rainfall-induced landslides, landslide early warning systems (LEWS) can be built and applied at different scales as effective non-structural mitigation measures. Usually, the core of a LEWS is constituted of a mathematical model that predicts landslide occurrence in the monitored areas. In recent decades, rainfall thresholds have become a widespread and well established technique for the prediction of rainfall-induced landslides, and for the setting up of prototype or operational LEWS. A rainfall threshold expresses, with a mathematic law, the rainfall amount that, when reached or exceeded, is likely to trigger one or more landslides. Rainfall thresholds can be defined with relatively few parameters and are very straightforward to operate, because their application within LEWS is usually based only on the comparison of monitored and/or forecasted rainfall. This Special Issue collects contributions on the recent research advances or well-documented applications of rainfall thresholds, as well as other innovative methods for landslide prediction and early warning. Contributions regarding the description of a LEWS or single components of LEWS (e.g., monitoring approaches, forecasting models, communication strategies, and emergency management) are also welcome.
loess landslide --- DAN-W --- numerical simulation --- dynamic analysis --- rainfall thresholds --- Bhutan --- shallow landslides --- landslides --- Idukki --- early warning system --- landslide hazard --- antecedent rainfall threshold --- landslide susceptibility --- satellite-derived rainfall --- TRMM Multisatellite Precipitation Analysis 3B42 (TMPA) --- tropical Africa --- rainfall --- thresholds --- physicallybased model --- hydrological monitoring --- soil water index --- large-scale landslide --- SWI–D threshold --- shallow landslide --- temporal probability --- landslide and debris flow --- China --- quantile regression --- Wayanad --- early warning --- GIS --- rainfall intensity --- optimization --- rainfall thresholds calculation --- mean annual rainfall --- lithology --- Slovenia --- n/a --- SWI-D threshold
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Today, modern Geotechnical Engineers, who in the past would have considered the phenomena occurring in the (primarily soil) environment, are faced with developments in environmental sciences that are becoming increasingly more detailed and sophisticated, with the natural phenomena and processes surrounding the civil engineering infrastructure being modeled, designed, monitored, and assessed in a more holistic way. This book brings together the state of the art in geotechnics with a focus on sustainable design, resilience, construction, and monitoring of the performance of geotechnical assets from ground investigations, through foundation and drainage design to soil stabilization and reinforcement. Engineers and scientists working in the fields of green infrastructure, nature-based solutions, sustainable drainage, eco-engineering, hydro-geology, landscape planning, plant science, environmental biology or bio-chemistry, earth sciences, GIS, and remote sensing are represented here by articles that show significant geotechnical components or applications. Case studies showcasing the application of the sustainable development principles (e.g., reuse, recycle, reduce; stakeholder engagement; public health; UN Global Sustainability Goals) in Geotechnics are also included in this book.
machine learning --- random forest --- particle swarm optimization --- Vietnam --- Seepage --- Earth-fill dam --- Experimental analysis --- Numerical analysis --- SEEP/W model --- Dam safety and sustainability --- highway construction --- environmental protection --- soil loss --- erosion control --- risk --- hazard --- vulnerability --- landslides --- multicriteria assessment --- analytical hierarchy process --- calcium sulfoaluminate cement --- stabilized soil --- unconfined compressive strength --- hydration products --- microstructure --- sustainability --- geosynthetics --- poly(lactic acid) --- biopolymers --- geogrids --- tensile strength --- n/a
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Natural hazard events are able to significantly affect the natural and artificial environment. In this context, changes in landforms due to natural disasters have the potential to affect and, in some cases, even restrict human interaction with the ecosystem. In order to minimize fatalities and reduce the economic impact that accompanies their occurrence, proper planning is crucial. Land use planning can play an important role in reducing current and future risks related to natural hazards. Land use changes can lead to natural hazards and vice versa: natural hazards affect land uses. Therefore, planners may take into account areas that are susceptible to natural hazards when selecting favorable locations for land use development. Appropriate land use planning can lead to the determination of safe and non-safe areas for urban activities. This Special Issue focuses on land use planning for natural hazards. In this context, various types of natural hazards, such as land degradation and desertification, coastal hazard, floods, and landslides, as well as their interactions with human activities, are presented.
sea-level rise --- storm surge --- physical vulnerability --- social vulnerability --- Peloponnese --- Greece --- urbanization --- flood --- remote sensing/GIS --- Birendranagar --- Nepal --- landslides --- geographic information system (GIS) --- frequency ratio --- density ratio --- human activities --- land use planning --- historic flood data --- old topographic maps --- GIS --- temporal and spatial distribution of flood events --- marshy areas and lakes --- flood hazard assessment --- Integrated land-use planning --- land degradation --- desertification --- policy --- phronetic approach --- n/a
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Contemporary development debates in Latin America are marked by the pursuit of economic growth, technological improvement and poverty reduction, and are overshadowed by growing concerns about the preservation of the environment and human rights. This collection’s multidisciplinary perspective links local, national, regional and transnational levels of inquiry into the interaction of state and non-state actors involved in promoting or opposing natural resource development. Taking this approach allows the book to contemplate the complex panorama of competing visions, concepts and interests grounded in the mutual influences and interdependencies which shape the contemporary arena of social-environmental conflicts in the region.
Sustainable development --- Natural resources --- Mineral industries --- Human rights --- Environmental aspects --- Latin America --- Economic conditions --- Social conditions --- Extractive industries --- Extractive industry --- Metal industries --- Mines and mining --- Mining --- Mining industry --- Mining industry and finance --- Industries --- Basic rights --- Civil rights (International law) --- Rights, Human --- Rights of man --- Human security --- Transitional justice --- Truth commissions --- National resources --- Resources, Natural --- Resource-based communities --- Resource curse --- Law and legislation --- Economic aspects --- indigenous people --- environment --- human rights --- extractivism --- China --- rainforest --- healing plants --- nature --- trees --- REDD+ --- Human Rights Impact Assessments --- violence --- neogeography --- urbanism --- floods --- landslides --- Grand Canal --- Nicaragua --- decoloniality --- colonialism --- neocolonialism --- eco-violence --- ecology --- natural environment
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This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.
groundwater potential --- specific capacity --- machine learning --- boosted tree --- ensemble models --- prototype selection --- river pollution --- supervised classification --- WSN --- probabilistic method --- Monte Carlo simulation --- physical slope model --- Mt. Umyeon landslides --- Seoul --- synthetic aperture radar --- land subsidence --- GIS --- time-series --- Jakarta --- land subsidence susceptibility mapping --- time-series InSAR --- StaMPS processing --- seismic vulnerability map --- DPM method --- Sentinel-1 --- seismic literacy --- neural networks --- urban vegetation --- urban open spaces --- Monterrey Metropolitan Area --- sustainable development --- deep learning --- transfer learning --- artificial intelligence --- remote sensing --- earth observation --- DInSAR --- change detection --- space data science
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This book is a printed edition of the Special Issue titled “Assessing the Impact of Climate Change on Urban Cultural Heritage” hosted at the Atmosphere journal. This topic has been chosen in light of cities’ ever-growing role and immense potential in the climate adaptation and mitigation discourse and the particular challenges regarding urban heritage making and conservation. It is critical to recognise the complex set of factors governing the physical, social and political future of urban heritage in cityscapes in constant transformation and in an era of planetary urbanisation. The 10 papers (seven research papers, two reviews and one opinion piece) that comprise the issue give a broad cross-section of the issues pertinent to this important topic – accounts on practices and conceptual/methodological improvements in energy retrofit and reuse, risk mapping, urban planning, climate vulnerability assessment, and community engagement by 38 authors from seven countries are used to delineate the implications of current and likely future climates on heritage materials and systems, knowledge and practice gaps, as well as steps that need to be taken to ensure both their safeguarding and their valorisation to achieve climate resiliency.
historic buildings --- risk assessment --- WDR --- resilience --- sustainability --- extreme value analysis --- heritage values --- energy efficiency --- thermal comfort --- heritage conservation --- original features --- system dynamics --- social practices --- decision-making --- historic building --- durability --- performance --- life cycle analysis --- land-use --- tropics --- urban microclimate --- built heritage retrofit --- energy-efficient retrofit policy --- conservation policy --- UK --- Turkey --- earthquakes --- fire --- floods --- historic sites --- landslides --- museums --- insects --- sea level rise --- typhoons --- visitors --- extreme events --- climate projection --- Central Europe --- ProteCHt2save --- climate risk indices --- heritage climatology --- cultural heritage safeguarding --- preparedness --- energy-efficient retrofit --- historic residential buildings --- energy consumption prediction --- heritage buildings --- lithotype --- salt weathering --- kaolinisation --- microcracking --- weather events --- cultural heritage --- urban planning --- climate change --- n/a
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Significant progress has been made in the last few years that has expanded the knowledge of landslide processes. It is, therefore, necessary to summarize, share and disseminate the latest knowledge and expertise. This Special Issue brings together novel research focused on landslide monitoring, modelling and data analysis.
Research & information: general --- Earth sciences, geography, environment, planning --- landslide susceptibility assessment --- geographically weighted regression --- spatial non-stationary --- spatial proximity --- slope unit --- multitemporal DEM --- control factors --- susceptibility assessment --- LRM --- historical landslide events --- unsaturated soil --- capillary barrier --- multi-layer slope --- slope failure --- coastal landslides --- mass rock creep --- coastal cliffs --- land surface analysis --- data analysis --- Conero promontory --- slow-moving landslide --- landslide monitoring --- time-series analysis --- San Andrés Landslide --- El Hierro --- Canary Islands --- large-scale landslide model experiment --- soil–water characteristic curve --- Bayesian updating --- Markov chain Monte Carlo --- artificial neural networks --- object-based image analysis --- Sentinel-1 --- Sentinel-2 --- digital elevation model --- InSAR --- landslide --- landslide-dammed lake --- river --- Iceland --- rockfill --- ground-based interferometric synthetic aperture radar --- construction --- cross-sectional area of equal displacement body --- landslide warning method --- data mining --- landslide detection --- landslide inventory --- Typhoon Morakot --- Global Positioning System (GPS) --- disaster prevention monitoring --- disaster mitigation --- monitoring --- landslides --- photogrammetry --- global positioning system --- in-hole wire extensometer --- DInSAR --- GBSAR --- landslide susceptibility --- ranking --- cross validation --- prediction model --- prediction pattern --- target pattern --- uncertainty pattern --- airborne electromagnetics --- physical-based modeling --- tropical volcanic environment --- La Martinique --- modelling --- susceptibility
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