文献一覧: 本田謙一 (著者)

3 0 0 0 高精細な航空レーザ画像から戦国の山城空間を見る : 戦国の終わりを告げた八王子城

著者: 瀬戸島政博秋山幸秀本田謙一
出版者: 古今書院
雑誌: 地理 (ISSN:05779308)
巻号頁・発行日: vol.60, no.1, pp.1-10, 2015-01

2016-10-26 21:07:29
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https://ci.nii.ac.jp/naid/40020309200

2 0 0 0 OA 多時期・多軌道の衛星SARによる大規模地すべりのモニタリング

著者: 本田謙一田口智大室井翔太佐藤匠佐藤史崇小口貴雄
出版者: 一般社団法人日本リモートセンシング学会
雑誌: 日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日: vol.42, no.3, pp.185-189, 2022-08-10 (Released:2022-11-26)
参考文献数: 6

In this paper, an example of displacement monitoring of landslides using interferometric SAR analysis is reported. The displacement of the mountain landslides was separated into vertical displacement and east-west displacement by 2.5-dimensional analysis using ALOS-2 with multi-temporal and multi-orbital data. The direction and the boundary of displacement were consistent with the results of displacement measured by airborne laser profiler between 4 years and also with the field survey.

2023-04-25 06:35:41
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1 0 0 0 OA 屋久島における航空レーザデータを使用した超巨大屋久スギ抽出の試み

著者: 前田佳子本田謙一引地慶多廣瀬葉子
出版者: 一般社団法人日本リモートセンシング学会
雑誌: 日本リモートセンシング学会誌 (ISSN:02897911)
巻号頁・発行日: vol.40, no.3, pp.135-140, 2020-07-20 (Released:2021-01-06)
参考文献数: 2

According to legend, Yakushima still has the giant tree that larger than Jomon-sugi. To search for this legendary giant tree, we used aerial LiDAR data to estimate the distribution area of the giant tree. In the analysis using low-density LiDAR data, the factors related to the distribution of the giant tree were elevation, tree height, tree crown area, tree species and topography, and the giant trees were extracted from these elements. In the analysis using the high-density laser, the factors related to the distribution of giant cedar were set as the gap in the forest and the gentle slope of the valley. We extracted these elements from voxel analysis and estimated the distribution of giant trees.