Landslide Identification and Information Extraction Based on Optical and Multispectral UAV Remote Sensing Imagery

doi:10.1088/1755-1315/57/1/012017

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所

	Landslide Identification and Information Extraction Based on Optical and Multispectral UAV Remote Sensing Imagery
	Lin,Jiayuan 1,2; Wang,Meimei 1; Yang,Jia 1; Yang,Qingxia 3
	2017
会议日期	MAY 16-17, 2016
会议地点	Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing
关键词	Agriculture, Multidisciplinary Environmental Sciences Meteorology & Atmospheric Sciences
卷号	57
DOI	10.1088/1755-1315/57/1/012017
页码	UNSP 012017
国家	PEOPLES R CHINA
英文摘要	Landslide is one of the most serious natural disasters which caused enormous economic losses and casualties in the world. Fast and accurate identification of newly occurred landslide and extraction of relevant information are the premise and foundation for landslide disaster assessment and relief. As the places where landslides occur are often inaccessible for field observation because of the temporary failure in transportation and communication. Therefore, UAV remote sensing can be adopted to collect landslide information efficiently and quickly with the advantages of low cost, flexible launch and landing, safety, under-cloud-flying, and hyperspatial image resolution. Newly occurred landslides are usually accompanied with those phenomena such as vegetation burying and bedrock or bare soil exposure, which can be easily detected in optical or multispectral UAV images. By taking one typical landslide occurred in Wenchuan Earthquake stricken area in 2010 as an example, this paper demonstrates the process of integration of multispectral camera with UAV platform, NDVI generation with multispectral UAV images, three-dimensional terrain and orthophoto generation with optical UAV images, and identification and extraction of landslide information such as its location, impacted area, and earthwork volume.
源文献作者	IOP
产权排序	1
会议录	INTERNATIONAL SYMPOSIUM ON EARTH OBSERVATION FOR ONE BELT AND ONE ROAD (EOBAR)
语种	英语
ISSN号	1755-1307
WOS记录号	WOS:000400157500017
内容类型	会议论文
源URL	[http://ir.imde.ac.cn/handle/131551/34195]
专题	中国科学院水利部成都山地灾害与环境研究所
通讯作者	Lin,Jiayuan
作者单位	1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, 610041 Chengdu, China; 2.Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, 610225 Chengdu, China; 3.Jiuzhaigou Administration Bureau, Jiuzhaigou County, 623402 Aba Prefecture, Sichuan, China
推荐引用方式 GB/T 7714	Lin,Jiayuan,Wang,Meimei,Yang,Jia,et al. Landslide Identification and Information Extraction Based on Optical and Multispectral UAV Remote Sensing Imagery[C]. 见:. Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing. MAY 16-17, 2016.