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Titlebook: Geoinformatics and Modelling of Landslide Susceptibility and Risk; An RS & GIS-based Mo Sujit Mandal,Subrata Mondal Book 2019 Springer Natu

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發(fā)表于 2025-3-21 18:24:03 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Geoinformatics and Modelling of Landslide Susceptibility and Risk
副標題An RS & GIS-based Mo
編輯Sujit Mandal,Subrata Mondal
視頻videohttp://file.papertrans.cn/384/383284/383284.mp4
概述Explores all geographical parameters and their roles in landslide processes.Presents various statistical models and discusses the development of landslide susceptibility and risk maps.Describes modern
叢書名稱Environmental Science and Engineering
圖書封面Titlebook: Geoinformatics and Modelling of Landslide Susceptibility and Risk; An RS & GIS-based Mo Sujit Mandal,Subrata Mondal Book 2019 Springer Natu
描述.This book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learning models, as well as multi-criteria evaluation, pseudo-quantitative and probabilistic approaches. As such, it provides methods and techniques for RS & GIS-based models in spatial distribution for all those engaged in the preparation and development of projects, research, training courses and postgraduate studies. Further, the book offers a valuable resource for students using RS & GIS techniques in their studies.?.
出版日期Book 2019
關(guān)鍵詞Landslide Susceptibility and Risk; Geoinformatics and Landslide; Semi-quantitative Approaches and land
版次1
doihttps://doi.org/10.1007/978-3-030-10495-5
isbn_ebook978-3-030-10495-5Series ISSN 1863-5520 Series E-ISSN 1863-5539
issn_series 1863-5520
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Die elektrolytischen Metallniederschl?geactor (Ff), circularity ratio (Rc), elongation ratio (Re) and relief ratio (Rr) of the Balason River basin of Darjeeling Himalaya and to prioritize subwatersheds (SW). The results showed that SW 4, SW 5 and SW 8 fall under very high priority class in respect of soil erosion and soil loss or simply i
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Slope Instability Analysis Using Morphometric Parameters: A Sub-watersheds Scale Study,actor (Ff), circularity ratio (Rc), elongation ratio (Re) and relief ratio (Rr) of the Balason River basin of Darjeeling Himalaya and to prioritize subwatersheds (SW). The results showed that SW 4, SW 5 and SW 8 fall under very high priority class in respect of soil erosion and soil loss or simply i
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發(fā)表于 2025-3-22 18:38:06 | 只看該作者
Geomorphic Diversity and Landslide Susceptibility: A Multi-criteria Evaluation Approach,ssign to each data layers of each model which multiplied with unidirectional reclassified data layers for each model using weighted linear combination (WLC) approach to prepare landslide susceptibility maps. The receiver operating characteristics curve showed that, the landslides prediction accuracy
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Machine Learning Models and Spatial Distribution of Landslide Susceptibility,rmed for each factor by using the RBF kernel to prepare landslide susceptibility map. And, the back-propagation method was also applied to estimate factor’s weight and the landslide hazard indices were derived with the help of trained back-propagation weights using ANN model. Then, the landslide sus
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Geoinformatics and Modelling of Landslide Susceptibility and RiskAn RS & GIS-based Mo
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https://doi.org/10.1007/978-3-642-47576-4k to restore the landslide surface area because of the presence of high degree of spatial and temporal variability in soil stability and fertility (Walker et al. .). The variability of landslides and its destructive character have brought attention of many research scholars in logical and scientific
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