For understanding the distribution of slope angles, OHM and roughness of the rainfall-induced landslides in Alishan Area of Central Taiwan, a survey was carried out with airborne Lidar and aerial digital camera to obtain DTM and DSM of 1m grid and color orthophotos of 50cm grid. DTM, DSM and orthophotos are georeferenced and co-registered. The torrential rainfall on the 9 th June 2006 induced 106 landslides in the area of 36 km 2, as interpreted from the color orthophotos. The landslide polygons are then used for extracting slopes, OHM and roughness. Results show that the average slope angle of landslides is 41 degrees with a standard deviation of 14 degrees; average OHM is 4.4m with a standard deviation of 6.3m; average roughness is 2.05m with a standard deviation of 2.56m. It is also observed that scale effects are obvious for roughness but not for slope and OHM when the grid is larger than 40m, which is the average dimension of landslides. These morphometric parameters of rainfall-induced landslides can be further applied in the automation of landslide inventory.