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Titlebook: Landslide: Susceptibility, Risk Assessment and Sustainability; Application of Geost Gopal Krishna Panda,Rajib Shaw,Asish Saha Book 2024 The

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書(shū)目名稱(chēng)Landslide: Susceptibility, Risk Assessment and Sustainability
副標(biāo)題Application of Geost
編輯Gopal Krishna Panda,Rajib Shaw,Asish Saha
視頻videohttp://file.papertrans.cn/581/580833/580833.mp4
概述Assembles information on rigorous uses of geospatial and geostatistical techniques.Illustrates a geospatial and geostatistical approach to data analysis and modelling.Investigates methodologies based
叢書(shū)名稱(chēng)Advances in Natural and Technological Hazards Research
圖書(shū)封面Titlebook: Landslide: Susceptibility, Risk Assessment and Sustainability; Application of Geost Gopal Krishna Panda,Rajib Shaw,Asish Saha Book 2024 The
描述.The book illustrates a geospatial and geostatistical approach to data analysis, modeling, risk assessment, and visualization, as well as landslide hazard management in the hilly region. This book investigates cutting-edge methodologies based on open source software and R statistical programming and modeling in current decision-making procedures, with a particular emphasis on recent advances in data mining techniques and robust modeling in torrential rainfall and earthquake induced landslide hazard..
出版日期Book 2024
關(guān)鍵詞Climatically Triggered Landslide; Rockfalls in High-Density Urban Environments; Landslide Hazard Manag
版次1
doihttps://doi.org/10.1007/978-3-031-56591-5
isbn_softcover978-3-031-56593-9
isbn_ebook978-3-031-56591-5Series ISSN 1878-9897 Series E-ISSN 2213-6959
issn_series 1878-9897
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Landslide Risk and Vulnerability; Real Issues, Thoughts and Perspectives. Landslides can occur as a result of many different disturbances, but they are also strongly influenced by certain environmental factors such geology, precipitation, land cover changes and population. This Chapter sought to explore the use geostatistical and geospatial models to assess the contribu
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Landslide Susceptibility Mapping by Using Geospatial Technique: Reference from Hofu City, Yamaguchi the landslides are most likely to happen by creating a susceptibility map within the case study sites. We used remote sensing and geographic information systems (GIS) datasets that include ALOS AVNIR-2 satellite imagery, the digital elevation models (DEM), geology records, the local rain gauge data
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