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Intelligent Interpretation for Geological Disasters From Space-Air-Ground Integration Perspective

This book comprehensively utilizes the new generation of artificial intelligence and remote sensing science and technology to systematically carry out researches on high-precision recognition, monitoring, analysis, and assessment of geological disasters by using different technologies of "groun...

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Bibliographic Details
Main Authors: Chen, Weitao, Zhong, Cheng (Author), Qin, Xuwen (Author), Wang, Lizhe (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2023, 2023
Edition:1st ed. 2023
Subjects:
Geology
Geographical Information System
Natural Hazards
Data Mining
Geographic Information Systems
Data Mining And Knowledge Discovery
Natural Disasters
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1. Geological disaster: An overview
  • Chapter 2. Research methods of geological disasters
  • Chapter 3. Principles and methods of intelligent interpretation of geological disasters
  • Chapter 4. Intelligent analysis of multi-source long-term landslide ground monitoring data
  • Chapter 5. Intelligent monitoring of landslides based on high-resolution optical remote sensing data
  • Chapter 6. Deep learning-based remote sensing monitoring of landslide
  • Chapter 7. Deep learning-based landslide susceptibility assessment
  • Chapter 8. Deep learning-based intelligent recognition of ground fissures
  • Chapter 9. Machine learning-based remote sensing monitoring of land subsidence in mining areas
  • Chapter 10. Concluding remarks

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