UAV LiDAR has the advantage of efficient and accurate acquisition of complex terrain point clouds data,and has become an important means to build accurate digital landform model.However,there is a lack of research on the interpolation error of the digital geomorphological model constructed by UAV LiDAR point clouds for anticline landforms,which seriously restricts its application in geomorphological research.In this paper,based on UAV LiDAR point clouds data of anticline landform in Lufeng Dinosaur Valley ring structure,the key parameters of IDW,NN,RBF,TIN and OK interpolation algorithms are optimally selected,cross validation and model difference are used to measure the interpolation accuracy under different point clouds density and surface roughness.The spatial distribution characteristics of global Moran index and geomorphic parameter analysis error are analyzed.The morphological characteristics of fold structure are analyzed based on the optimal model.The results show that:1)the optimal parameters of IDW are weight index 2 and search points 16,RBF is regular spline function and search points 24,and OK is a spherical function,no direction and search points 8.2)IDW is most susceptible to the influence of point clouds density.TIN has the best effect on suppressing the interpolation error with the change of point clouds density.The model constructed by OK is optimal.3)The local interpolation error is spatially variable,and the regional error with large surface roughness increases rapidly.4)The fold is divided into dome structure and short axis fold.The inter wing angle is 108 ～ 131°.Anticline II extends underground along southwest northeast.The research results can provide a reference for UAV LiDAR for digital geomorphology modeling and surface feature measurement simulation analysis in the Lufeng Dinosaur Valley ring structure.