| 书目名称 | Geoinformatics and Modelling of Landslide Susceptibility and Risk |
| 副标题 | An RS & GIS-based Mo |
| 编辑 | Sujit Mandal,Subrata Mondal |
| 视频video | |
| 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 |
| 丛书名称 | Environmental Science and Engineering |
| 图书封面 |  |
| 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 |
| 关键词 | Landslide Susceptibility and Risk; Geoinformatics and Landslide; Semi-quantitative Approaches and land |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-10495-5 |
| isbn_ebook | 978-3-030-10495-5Series ISSN 1863-5520 Series E-ISSN 1863-5539 |
| issn_series | 1863-5520 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 18:24:03
