The impact of Cervus nippon browsing on vegetation in grasslands in Japan has become pronounced. In obtaining useful information for the management of grasslands affected by C. nippon browsing, we aimed to evaluate vegetation changes caused by browsing on multiple axes based on vegetation survey data from two time periods and to use UAV-mounted LiDAR data to determine the distribution of indicator species of vegetation change on an areal scale. The study area was approximately 23 ha around the Ochiai Pass in Higashi Iya Ochiai, Miyoshi City, Tokushima Prefecture. A vegetation survey was conducted in 2022 at the same 35 sites as in 2002 to understand the changes in vegetation. The ordination using nonmetric multidimensional scaling (NMDS) revealed that the changes in the cover of Sasa hayatae and Miscanthus sinensis and in the current cover of M. sinensis caused by the changes affected the vegetation in the study area. NMDS revealed that the entire study area is not changing along a single axis. The data acquired by the UAV-mounted LiDAR were used to estimate the density of S. hayatae and M. sinensis, which are indicators of vegetation change, on an areal basis. A high correlation was determined between the mean values of the reflected intensity at heights of 0.7–0.8 m for S. hayatae and 1.4–1.5 m for M. sinensis. The methods used in this study were useful for monitoring spatial and temporal changes in vegetation, and they could be applied to the management of different types of grasslands.