A Google search for “landslide” yields 126 million results, reflecting its interdisciplinary relevance across fields like sedimentology, geomorphology, seismology, climate change, and natural disaster research. Landslides are the seventh deadliest natural disaster, responsible for 17% of fatalities from natural hazards. In this chapter, we specifically examine landslide effects in China and discusses the limitations of traditional landslide identification and susceptibility mapping methods. The challenges in landslide detection and susceptibility evaluation are systematically analyzed. Furthermore, we review the developmental progress in intelligent landslide identification and susceptibility mapping technologies, while critically evaluating the advantages and disadvantages of various technical approaches.

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Introduction

  • Yi He

摘要

A Google search for “landslide” yields 126 million results, reflecting its interdisciplinary relevance across fields like sedimentology, geomorphology, seismology, climate change, and natural disaster research. Landslides are the seventh deadliest natural disaster, responsible for 17% of fatalities from natural hazards. In this chapter, we specifically examine landslide effects in China and discusses the limitations of traditional landslide identification and susceptibility mapping methods. The challenges in landslide detection and susceptibility evaluation are systematically analyzed. Furthermore, we review the developmental progress in intelligent landslide identification and susceptibility mapping technologies, while critically evaluating the advantages and disadvantages of various technical approaches.