第136回日本森林学会大会 発表検索
講演詳細
防災・水文部門[Forest Disaster Prevention and Hydrology]
| 日付 | 2025年3月21日 |
|---|---|
| 開始時刻 | ポスター発表 |
| 会場名 | 学術交流会館（ロビー） |
| 講演番号 | PJ-10 （学生ポスター賞審査対象） |
| 発表題目 | The Impact of Forest Types and Topographic Variations on Snow Accumulation: Insights from UAV-LiDAR The Impact of Forest Types and Topographic Variations on Snow Accumulation: Insights from UAV-LiDAR |
| 所属 | 東京大学 |
| 要旨本文 | This study explores the application of UAV-LiDAR in analyzing snow accumulation in the University of Tokyo Hokkaido Forest, with a focus on the effects of forest type and slope. Using the Difference of DEMs (DoD) method (RMSE 0.16 m), high-resolution snow depth maps revealed that canopy structure and slope significantly influence snow distribution. Dense canopies intercept more snow, while lower slopes retain greater accumulation. These findings highlight UAV-LiDAR as a reliable tool for forest snow surveys and ecological research. |
| 著者氏名 | ○Zhang, Yuanzhe1 ・ Tanaka, Nobuaki1 ・ Fushimi, Manato2 ・ Unno, Yamato2 ・ Kita, Satoshi3 ・ Konda, Ryota3 |
| 著者所属 | 1The University of Tokyo ・ 2Tsukuba Research Institute, Sumitomo Forestry Co., Ltd. ・ 3Forest and Landscape Research Center, Sumitomo Forestry Co., Ltd. |
| キーワード | Snowdepth, UAV-Lidar, Forest structure, Topography, Slope |
| Key word | Snowdepth, UAV-Lidar, Forest structure, Topography, Slope |