Landslide Susceptibility Modeling draws upon expert researchers from the field to detail how remote sensing and GIS are now being used in landslide susceptibility mapping. Each chapter in the book describes a methodology that has been successfully used in the past and can therefore be applied for mapping landslide susceptibility. With the sample data provided and several case study examples of different models of landslide susceptibility maps, researchers across the earth sciences-as well as those working in hazard and disaster preparedness-will have the tools to create susceptibility maps for specific locales. Addresses the key issues and challenges in landslide inventory mapping Features step-by-step guidelines in landslide susceptibility modeling, from traditional methods to advanced machine learning techniques Includes a companion website featuring data and codes used in the book as well as video tutorials INDICE: 1. Landslide hazards, risks and mitigation2. Landslide inventory mapping - Past and Current Trends3. Landslide controlling factors4. Data and Tools in LSM 5. Landslide types and failure mechanism 6. Evolving controls of landslides7. Case studies - (a) Landslide susceptibility mapping using knowledge driven methods8. Case studies - (b) Landslide susceptibility mapping using statistical models9. Case studies - (c) Landslide susceptibility mapping using machine learning models 10. Case studies - (d) Landslide susceptibility with deep learning 11. Accuracy assessments of susceptibility maps12. Challenges and Recommendations
- ISBN: 978-0-12-823505-8
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 300
- Fecha Publicación: 01/05/2023
- Nº Volúmenes: 1
- Idioma: Inglés