Conventional methods such as deformation monitoring, laser scanning and ground-based radar have certain limitations in the scene of high slope near the dam of hydropower station, so it is difficult to find the hidden dangers of high slope disasters near the dam in time and early-warning slope accidents. Taking a hydropower station in Jinsha River Basin as the research object, this paper proposes a high slope displacement detection method based on the UAV proximity photography, which mainly includes the UAV proximity photography data acquisition method for accurate path planning, generation of the SFM-MVS 3D model and point cloud model, and point cloud comparison algorithm based on adjacent 3D grid plane. Data acquisition, accuracy analysis and displacement comparison are carried out in the study area. The results show that the accuracy of this method in both horizontal and vertical directions reaches millimeter level, which can meet the needs of large-scale and high-precision displacement detection of high slope near the dam, and has strong scientific research and engineering practical value.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |