Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data
文献类型：期刊论文
| 作者 | Fan, Jian-rong1 ; Zhang, Xi-yu1,2; Su, Feng-huan1; Ge, Yong-gang1; Tarolli, Paolo3; Yang, Zheng-yin4; Zeng, Chao5; Zeng, Zhen5
|
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2017-09-01 |
| 卷号 | 14期号:9页码:1677-1688 |
| 关键词 | Xinmo Landslide Geological Disaster Remote Sensing Unmanned Aerial Vehicle (Uav) Digital Elevation Model (Dem) Satellite Data |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-017-4633-3 |
| 文献子类 | Article |
| 英文摘要 | At 5:39 am on June 24, 2017, a landslide occurred in the village of Xinmo in Maoxian County, Aba Tibet and Qiang Autonomous Prefecture (Sichuan Province, Southwest China). On June 25, aerial images were acquired from an unmanned aerial vehicle (UAV), and a digital elevation model (DEM) was processed. Landslide geometrical features were then analyzed. These are the front and rear edge elevation, accumulation area and horizontal sliding distance. Then, the volume and the spatial distribution of the thickness of the deposit were calculated from the difference between the DEM available before the landslide, and the UAV-derived DEM collected after the landslide. Also, the disaster was assessed using high-resolution satellite images acquired before the landslide. These include QuickBird, Pleiades-1 and GF-2 images with spatial resolutions of 0.65 m, 0.70 m, and 0.80 m, respectively, and the aerial images acquired from the UAV after the landslide with a spatial resolution of 0.1 m. According to the analysis, the area of the landslide was 1.62 km(2), and the volume of the landslide was 7.70 +/- 1.46 million m(3). The average thickness of the landslide accumulation was approximately 8 m. The landslide destroyed a total of 103 buildings. The area of destroyed farmlands was 2.53 ha, and the orchard area was reduced by 28.67 ha. A 2-km section of Songpinggou River was blocked and a 2.1-km section of township road No. 104 was buried. Constrained by the terrain conditions, densely populated and more economically developed areas in the upper reaches of the Minjiang River basin are mainly located in the bottom of the valleys. This is a dangerous area regarding landslide, debris flow and flash flood events. Therefore, in mountainous, high-risk disaster areas, it is important to carefully select residential sites to avoid a large number of casualties. |
| WOS关键词 | HIGH-RESOLUTION TOPOGRAPHY ; 2008 WENCHUAN EARTHQUAKE ; SURFACE PROCESSES ; SICHUAN PROVINCE ; CHINA ; PHOTOGRAMMETRY ; DEFORMATION ; EROSION ; AREAS ; JAPAN |
| 语种 | 英语 |
| WOS记录号 | WOS:000409490000001 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Key Technologies R&D Program of China(2017YFC0505104) ; Key Laboratory of Digital Mapping and Land Information Application of National Administration of Surveying, Mapping and Geoinformation of China(DM2016SC09) |
| 源URL | [http://ir.imde.ac.cn/handle/131551/19066]  |
| 专题 | Journal of Mountain Science _Journal of Mountain Science-2017_Vol14 No.9 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Su, Feng-huan |
| 作者单位 | 1.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Padua, Dept Land Environm Agr & Forestry, Agripolis, Viale Univ 16, I-35020 Legnaro, PD, Italy 4.Sichuan Remote Sensing Informat Surveying & Mappi, Chengdu 610100, Sichuan, Peoples R China 5.Sichuan Geomat Ctr, Sichuan Engn Res Ctr Emergency Mapping & Disaster, Chengdu 610041, Sichuan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fan, Jian-rong,Zhang, Xi-yu,Su, Feng-huan,et al. Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data[J]. JOURNAL OF MOUNTAIN SCIENCE,2017,14(9):1677-1688. |
| APA | Fan, Jian-rong.,Zhang, Xi-yu.,Su, Feng-huan.,Ge, Yong-gang.,Tarolli, Paolo.,...&Zeng, Zhen.(2017).Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data.JOURNAL OF MOUNTAIN SCIENCE,14(9),1677-1688. |
| MLA | Fan, Jian-rong,et al."Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data".JOURNAL OF MOUNTAIN SCIENCE 14.9(2017):1677-1688. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。