- Published: 2024
- Imprint: Elsevier
- Language: English
- ISBN: 978-0-12-823868-4
- DOI: 10.1016/C2020-0-00570-0
Earth Observation Applications to Landslide Mapping, Monitoring and Modeling
About the book
Key Features
- Recent developments in landslide monitoring and mapping algorithms
- Provides clear and detailed case studies and methods that can be easily replicated and implemented in landslide monitoring systems
- Provides detailed methods for applying research to landslide monitoring and mapping
Description
Additional details
- Published: 2024
- Imprint: Elsevier
- Language: English
- ISBN: 978-0-12-823868-4
- DOI: 10.1016/C2020-0-00570-0
Actions for selected chapters
/Table of contents
Section 1 - Introduction
- Book chapterAbstract onlyChapter one - A review of UAV-based data applications for landslide mapping and monitoring
Viorel Ilinca and Ionuţ Şandric
Pages 3-36
- Book chapterAbstract only
Section 2 - Satellite data in landslide mapping and monitoring
- Book chapterAbstract onlyChapter three - On the use of the EGMS data for studying landslides in Great Britain
Camilla Medici, Francesco Becattini, ... Alessandro Novellino
Pages 71-86
- Book chapterAbstract onlyChapter four - Deciphering the kinematics of urban landslides through SAR imagery analysis
Mohammad Amin Khalili, Luigi Guerriero, ... Domenico Calcaterra
Pages 87-118
- Book chapterAbstract onlyChapter five - Artificial intelligence applications for landslide mapping and monitoring on EO data
Filippo Catani, Lorenzo Nava and Kushanav Bhuyan
Pages 119-145
- Book chapterAbstract onlyChapter six - Mapping landslides on Earth, Moon, and Mars using satellite imagery and deep learning techniques
Nikhil Prakash, Valentin Tertius Bickel and Andrea Manconi
Pages 147-169
Section 3 - Drone applications for landslide mapping and monitoring
- Book chapterAbstract onlyChapter seven - Landslide volume and runoff monitoring using UAV photogrammetry
Tina Peternel, Tilen Urbančič, ... Dejan Grigillo
Pages 173-198
- Book chapterAbstract onlyChapter eight - Landslide 3D reconstruction and monitoring using oblique and nadiral drone aerial imagery
Carlos Henrique Grohmann, Guilherme P.B. Garcia, ... Rebeca Durço Coelho
Pages 199-214
- Book chapterAbstract only
- Book chapterAbstract onlyChapter ten - Machine learning and object-based image analysis for landside mapping using UAV-derived data
Efstratios Karantanellis and Daniel Hölbling
Pages 241-255
- Book chapterAbstract onlyChapter eleven - Estimating kinematic uncertainties of landslides using UAV time series
Ionuţ Şandric, Radu Irimia, ... Ion Gheuca
Pages 257-278
- Book chapterAbstract onlyChapter twelve - Detailed landslide kinematics mapping using short-term UAV time-series. Case study: Livadea landslide, Romania
Radu Irimia, Viorel Ilinca and Ionuţ Şandric
Pages 279-294
Section 4 - EO data assimilations in landslide susceptibility, hazard mapping and risk assessment
- Book chapterAbstract onlyChapter thirteen - Building landslide inventory with LiDAR data and deep learning
Aleš Létal, Jan Klimes and Ionuţ Şandric
Pages 297-311
- Book chapterAbstract onlyChapter fourteen - Landslide susceptibility mapping using machine-learning algorithms and earth observation data
Mohammed Sarfaraz Gani Adnan, Zakaria Shams Siam, ... Ashraf Dewan
Pages 313-333
- Book chapterAbstract onlyChapter Fifteen - Microwave remote sensing for investigating hydrological preconditions triggering landslides: a case study: Ialomita Subcarpathians, Romania
Zenaida Chiţu, Alexandru Dumitrescu, ... Adrian Irasoc
Pages 335-352
- Book chapterAbstract onlyChapter sixteen - Use of UAV imagery for the detection and measurement of damages to road networks in landslide areas
Nicoletta Nappo, Olga Mavrouli and Maria Amparo Núñez-Andrés
Pages 353-377
Section 5 - Future challenges and future outlook
- Book chapterAbstract onlyChapter seventeen - Mapping the existing challenges and pathway forward
Ionuţ Şandric, Viorel Ilinca and Zenaida Chiţu
Pages 381-389
Editors
Ionut Șandric
Faculty of Geography, University of Bucharest, Bucharest, RomaniaViorel Ilinca
Geological Institute of Romania, Bucharest, RomaniaZenaida Chitu
National Meteorological Administration, Bucharest, RomaniaCopyright
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