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Earth Observation Applications to Landslide Mapping, Monitoring and Modelling
Cutting-Edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery
- 1st Edition - October 1, 2024
- Editors: Ionut Sandric, Viorel Ilinca, Zenaida Chitu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 8 6 8 - 4
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 4 1 9 8 - 1
Earth Observation Applications to Landslide Mapping, Monitoring and Modelling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery focuses on the ap… Read more
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Request a sales quoteEarth Observation Applications to Landslide Mapping, Monitoring and Modelling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery focuses on the applications of drone and satellite imagery for mapping landslides. Topics covered include the use of ultra-high aerial imagery, obtained with drones, for mapping and predicting landslide activity (like runoff, volume displacement, exposure to risk, etc.). Subjects related to EO data assimilations into landslide hazard prediction models are also included. The primary aim of this book is to advance the scientific understanding and application of technologies to address a variety of fields related to landslide mapping and monitoring.Because of the intensification of the catastrophic events in the last 20 years, landslide monitoring gained considerable interest from the geoscience community. This book will be beneficial for the postgraduates, PhD research scholars, professors and scientists, geospatial experts, modelers, oceanography scientists and conservation communities, environmental consultants, big data compilers, and computing experts.
- Covers the latest trends in algorithms for the observation and mapping of landslides
- Features clear and detailed case studies and methods that can be easily reproduced and implemented in landslide monitoring systems
- Includes detailed methods for the application of research to the observation and mapping of landslides
I. Introduction
i. A review of state of the art in algorithms for SBAS and PS
ii. A review of state of the art in applications for landslides monitoring using drone data
iii. A review of state of the art in the use of EO data from satellites regarding applications in landslides monitoring
II. Satellite data in landslide mapping and monitoring
i. Mapping landslide activity using SAR Data – SBAS and PS
ii. Employing EO datasets to produce event-based landslide inventories
iii. Mapping, monitoring and analysis of the behaviour of urban landslides with SAR imagery
iv. Deep learning applications to EO data for landslide mapping and monitoring
v. Development of semi-automated mapping routines from EO-based landslide mapping on HR and VHR optical satellite imagery
III. Drone applications for landslide mapping and monitoring
i. Landslide volume and runoff monitoring using drone aerial imagery
ii. Landslide 3D reconstruction and monitoring using oblique and nadiral drone aerial imagery
iii. Rapid assessment of damages to infrastructures caused by landslides
iv. Using drone SfM for mapping slopes prone to rockfall
v. Deep learning applications for landslide mapping and detection
IV. EO data assimilations in landslide susceptibility, hazard mapping and risk assessment
i. Multitemporal landslide inventory with EO data as a support for landslide hazard assessment
ii. Landslide susceptibility modelling by remote sensing
iii. Landslide hazard mapping and modelling with EO data
iv. Self-learning algorithms in EO applied for landslide mapping and monitoring
v. Landslide risk assessment with EO data
V. Future challenges and future outlook
i. Mapping the existing challenges and pathway forward
ii. Emerging and potential future applications
i. A review of state of the art in algorithms for SBAS and PS
ii. A review of state of the art in applications for landslides monitoring using drone data
iii. A review of state of the art in the use of EO data from satellites regarding applications in landslides monitoring
II. Satellite data in landslide mapping and monitoring
i. Mapping landslide activity using SAR Data – SBAS and PS
ii. Employing EO datasets to produce event-based landslide inventories
iii. Mapping, monitoring and analysis of the behaviour of urban landslides with SAR imagery
iv. Deep learning applications to EO data for landslide mapping and monitoring
v. Development of semi-automated mapping routines from EO-based landslide mapping on HR and VHR optical satellite imagery
III. Drone applications for landslide mapping and monitoring
i. Landslide volume and runoff monitoring using drone aerial imagery
ii. Landslide 3D reconstruction and monitoring using oblique and nadiral drone aerial imagery
iii. Rapid assessment of damages to infrastructures caused by landslides
iv. Using drone SfM for mapping slopes prone to rockfall
v. Deep learning applications for landslide mapping and detection
IV. EO data assimilations in landslide susceptibility, hazard mapping and risk assessment
i. Multitemporal landslide inventory with EO data as a support for landslide hazard assessment
ii. Landslide susceptibility modelling by remote sensing
iii. Landslide hazard mapping and modelling with EO data
iv. Self-learning algorithms in EO applied for landslide mapping and monitoring
v. Landslide risk assessment with EO data
V. Future challenges and future outlook
i. Mapping the existing challenges and pathway forward
ii. Emerging and potential future applications
- No. of pages: 400
- Language: English
- Edition: 1
- Published: October 1, 2024
- Imprint: Elsevier
- Paperback ISBN: 9780128238684
IS
Ionut Sandric
Ionuț Șandric is an experienced researcher, with a demonstrated history of working in the computer software industry. Strong information technology professional is skilled in GIS Application, Uncertainty Analysis, Spatial Analysis, Linux System Administration, and Spatial Modeling. He's currently working for the University of Bucharest and Esri Romania. He has been involved in more than 5 Remote Sensing projects focused on Natural Hazards, Soil Moisture, AI and Deep Learning applied in Earth Observation. He is author/co-author so far of +15 peer-reviewed journal articles, +5 book chapters, and editor/co-editor of 1 book. He also has experience in a wide range of +10 research projects funded by international organisations, wherein +5 he has been the PI himself. He is an authorized instructor for Esri and Harris products.
Affiliations and expertise
Researcher, University of Bucharest, Bucharest, Romania; Researcher, Esri Romania, Bucharest, RomaniaVI
Viorel Ilinca
Viorel Ilinca joined the Geological Survey of Romania in 2010, working for the Mapping Department, where its main focus is on landslides research, geomorphological and geological mapping. In the last 14 years, he was involved in several national and international research projects, as well as commercial contracts. As a member of these projects, he focused on various applications of geomorphology and geological mapping for natural hazards assessment. In the field of the geohazard, much of the time is allocated to the study of the debris flow, as well as the landslide mapping.
Affiliations and expertise
Researcher, Geological Survey of Romania, RomaniaZC
Zenaida Chitu
Zenaida Chitu has an experience of more than ten years in landslide field, developing research projects at the crossroad of geomorphology, engineering geology, and hydrology for improving understanding of landslide occurrence. Her main area of research is related to soil moisture estimation by combining hydrological modelling, remote sensing, and in-situ measurements. She coordinated two national projects as principal investigator and two European projects as a team leader.
Affiliations and expertise
Researcher, National Institute of Hydrology and Water Management, Romania