中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data (vol 14,pg 1677, 2017)

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2017-10-01
卷号14期号:10页码:2136-2136
关键词Geometrical Feature
ISSN号1672-6316
DOI10.1007/s11629-017-4497-6
通讯作者Su Feng-huan
英文摘要

The fund name “National Key Technologies R&D Program of China” in the section of “Acknowledgements” is incorrect.
The correct fund name is “National Key Research and Development Program of China”.

语种英语
WOS记录号WOS:000412313000020
源URL[http://ir.imde.ac.cn/handle/131551/19277]  
专题成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
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
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 Engn Res Ctr Emergency Mapping & Disaster, Sichuan Geomat Ctr, 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 (vol 14,pg 1677, 2017)[J]. JOURNAL OF MOUNTAIN SCIENCE,2017,14(10):2136-2136.
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 (vol 14,pg 1677, 2017).JOURNAL OF MOUNTAIN SCIENCE,14(10),2136-2136.
MLA Fan Jian-rong,et al."Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data (vol 14,pg 1677, 2017)".JOURNAL OF MOUNTAIN SCIENCE 14.10(2017):2136-2136.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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