WEKO3
アイテム
Applications of LiDAR measurement for road management
http://hdl.handle.net/10173/1051
http://hdl.handle.net/10173/10510489deae-c428-46a4-8499-b838823011f5
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
sms12-7130.pdf (1.4 MB)
|
|
| Item type | 会議発表論文 / Conference Paper(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2013-10-25 | |||||||||
| タイトル | ||||||||||
| タイトル | Applications of LiDAR measurement for road management | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Ground based LiDAR | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Landslide monitoring | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Landcover monitoring | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者 |
AKIYAMA, Shinpei
× AKIYAMA, Shinpei
× TAKAGI, Masataka
|
|||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | Since LiDAR (Light Detection And Ranging) is a suitable equipment for archiving three-dimensional surface data of any objects. Moreover, aerial LiDAR is used for the topographical survey, urban planning or forest measurement. On the other hand, ground based LiDAR has a potential for other purposes, such as landslide monitoring or landcover change monitoring. This paper reports method of landslide and landcover monitoring using LiDAR for road management. Firstly, landslide monitoring technique using ground based LiDAR was developed. The amount of movements of a landslide should be precisely measured using LiDAR. In this study, Choja landslide in Japan was measured by LiDAR with a measurement accuracy of 6 mm. The result showed movement of landslide was detected in almost 1cm accuracy. An intersection point calculation of three surfaces was very effective for the accurate measurement. However, this technique can adapt for artificial object which include a plane. This method should be expand for natural objects such as natural slope or natural cliff. Secondary, landcover change is also detected by ground based LiDAR. A wide area landcover should be classified automatically using LiDAR. The landcover change can be extracted by converting grid model and comparing the elevation of the objects. Vegetated areas are changing seasonally and annually. The land cover change was detected in Choja. The results showed agricultural land could be extracted. Classified trees and Rice fields showed higher accuracy. LiDAR also acquires RGB color information. The classification will improve by using RGB color information in near future. | |||||||||
| 書誌情報 |
Society for Social Management Systems Internet Journal 巻 8, 発行日 2012-05 |
|||||||||
| 著者版フラグ | ||||||||||
| 出版タイプ | VoR | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
| 出版者 | ||||||||||
| 出版者 | Society for Social Management Systems | |||||||||
