[Significance]Landslide disasters are widely distributed in China.Effective monitoring,early warn-ing,and risk management measures are key to disaster prevention and mitigation.[Progress]Compared with con-ventional techniques,distributed fiber optic sensing(DFOS)technology has made significant progress in landslide monitoring in recent decades,owing to its strengths in distributed,long-distance,large-range,and multiparameter monitoring.This paper first introduces several representative fiber optic sensing technologies,then proposes the concept of a fiber optic neural sensing system for landslides,and last elaborates the working principles of various fi-ber optic sensors and their deployment methods.Two typical landslide monitoring cases using ultra-weak fiber Bragg grating(UWFBG)monitoring technology are introduced,and the current technical bottlenecks are discussed.[Conclusions and Prospects]The case studies show that the fiber optic neural sensing system can achieve re-mote,real-time,high-precision underground multiparameter data acquisition,accurately detect potential slip sur-faces and other key interfaces.Additionally,multiphysical changes at these interfaces provide important data sup-port for understanding the underground evolution of landslides,which offers new insights into landslide prediction and early warning.
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