Understanding and Reducing Landslide Disaster Risk: Volume 3 Monitoring and Early Warning, Casagli Nicola, Tofani Veronica, Sassa Kyoji
Автор: Marco Scaioni Название: Modern Technologies for Landslide Monitoring and Prediction ISBN: 3662459302 ISBN-13(EAN): 9783662459300 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapters are organized in three main parts: ground-based monitoring techniques (photogrammetry, terrestrial laser scanning, ground-based InSAR, infrared thermography, and GNSS networks), geophysical (passive seismic sensor networks) and geotechnical methods (SPH and SLIDE), and satellite remote-sensing techniques (InSAR and optical images).
Описание: This doctoral thesis presents a novel approach to landslide risk assessment that explores the various dimensions of landslide risk in an integrated perspective. A landslide susceptibility model is at the heart of this new approach, enabling to identify and delineate areas at risk of landslides and to assess infrastructure exposure.
Описание: These three attributes have been described in terms of critical rainfall, critical slope, critical height and changes and development of drainage network in landslides.
Описание: Vit Vilimek is the vice-president of the International Consortium on Landslides (ICL) and a member of the evaluation committee, Editor-in-Chief of the university journal AUC Geographica and Associate Editor-in-Chief of the international journal Geoenvironmental Disasters.
Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Автор: Binod Tiwari; Kyoji Sassa; Peter T. Bobrowsky; Kao Название: Understanding and Reducing Landslide Disaster Risk ISBN: 3030607054 ISBN-13(EAN): 9783030607050 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Поставка под заказ.
Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Автор: Fausto Guzzetti; Snje?ana Mihali? Arbanas; Paola R Название: Understanding and Reducing Landslide Disaster Risk ISBN: 3030602265 ISBN-13(EAN): 9783030602260 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Поставка под заказ.
Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Описание: This doctoral thesis presents a novel approach to landslide risk assessment that explores the various dimensions of landslide risk in an integrated perspective. A landslide susceptibility model is at the heart of this new approach, enabling to identify and delineate areas at risk of landslides and to assess infrastructure exposure.
Автор: Sujit Mandal; Subrata Mondal Название: Geoinformatics and Modelling of Landslide Susceptibility and Risk ISBN: 303010494X ISBN-13(EAN): 9783030104948 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: 1. Concept on Landslides and Landslide Susceptibility2. Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Probability3. Frequency Ratio Model (FRM) and Information Value Model (IVM) in landslide susceptibility Assessment and Prediction4. Logistic Regression Model (LRM) and Landslide Susceptibility: A RS & GIS based approach5. Artificial Neural Network (ANN) Model and Landslide Susceptibility6. Weighted Index Overlay Model (WIOM), Certainty factor approach (CFA) and Analytical Hierarchy Process (AHP) in Landslide Susceptibility Studies7. Knowledge driven Statistical Approach for Landslide Susceptibility Assessment using GIS and Fuzzy Logic8. Comparison between Statistical Models: A Review and EvaluationIndex
Автор: Kyoji Sassa; Fausto Guzzetti; Hiromitsu Yamagishi; Название: Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools ISBN: 3319862456 ISBN-13(EAN): 9783319862453 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Поставка под заказ.
Описание: 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.
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