Insar And Deep Learning In Landslides Research Intelligent Identification Risk Assessment And Susceptibility Mapping
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InSAR and Deep Learning in Landslides Research: Intelligent Identification, Risk Assessment and Susceptibility Mapping
This book combines remote sensing and deep learning technology to develop a variety of models in the study of different type landslides in a wide range of areas including northwest, southwest and southern China. It explores the application of various deep learning methods in landslide identification and sensitivity mapping. It also explores intelligent landslide monitoring and susceptibility mapping using a variety of data and methods, providing ideas and methods for landslide prevention and mitigation. This book is suitable for professionals in the field of landslide monitoring and graduate students in the fields of remote sensing and geological hazards research to mitigate this most widespread and harmful geological hazards in the world.
InSAR and Deep Learning in Landslides Research: Intelligent Identification, Risk Assessment and Susceptibility Mapping
This book combines remote sensing and deep learning technology to develop a variety of models in the study of different type landslides in a wide range of areas including northwest, southwest and southern China. It explores the application of various deep learning methods in landslide identification and sensitivity mapping. It also explores intelligent landslide monitoring and susceptibility mapping using a variety of data and methods, providing ideas and methods for landslide prevention and mitigation. This book is suitable for professionals in the field of landslide monitoring and graduate students in the fields of remote sensing and geological hazards research to mitigate this most widespread and harmful geological hazards in the world.
Prevention, Mitigation, and Relief of Compound and Chained Natural Hazards, volume II
The field of natural hazard research has become increasingly critical due to the intensification of global climate and environmental changes, which have led to the frequent occurrence of natural hazards. These hazards often overlap, interact, or occur in a chain reaction, resulting in significant disaster losses with wide-ranging impacts over extended periods. Major earthquakes, geological hazards, extreme meteorological events, large-scale floods, droughts, marine disasters, and forest and grassland fires are among the key factors affecting human safety and economic development worldwide. Recent studies have highlighted the need for advanced perception, intelligent early warning systems, accurate prevention strategies, and efficient rescue operations to mitigate these hazards. However, there remain significant gaps in understanding the compound and chained relationships between different types of natural hazards, necessitating further investigation and innovative approaches.