基本信息
孟庆凯  男  硕导  中国科学院水利部成都山地灾害与环境研究所
电子邮件: mengqingkai@imde.ac.cn
通信地址: 中国科学院、水利部成都山地灾害与环境研究所
邮政编码:

招生信息

   
招生专业
070501-自然地理学
081802-地球探测与信息技术
081602-摄影测量与遥感
招生方向
灾害遥感分析应用,InSAR数据处理分析
灾害早期识别与监测预警,气候变化灾害效应

教育背景

2013-09--2016-06   成都理工大学   工学博士
2010-09--2013-06   成都理工大学   工学硕士
2005-09--2009-06   石家庄学院   理学学士

工作经历

   
工作简历
2022-08~现在, 中科院、水利部成都山地灾害与环境研究所, 青年研究员
2019-10~2022-07,青海大学三江源国家重点实验室, 副教授
2019-09~2020-10,意大利佛罗伦萨大学, 副教授(访问学者)
2019-01~2019-08,青海大学三江源国家重点实验室, 副教授
2016-07~2018-12,青海大学三江源国家重点实验室, 讲师

专利与奖励

   
专利成果
[1] 孟庆凯. 土壤信息采集装置. 209590021, 2019-11-05.

出版信息

   
发表论文
[1] Meng, Qingkai, Chen, Xiaoqing, Huang, Xinhua, Huang, Yuefei, Peng, Ying, Zhang, Yong, Zhen, Jing. Monitoring glacier terminus and surface velocity changes over different time scales using massive imagery analysis and offset tracking at the Hoh Xil World Heritage Site, Qinghai-Tibet Plateau. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2022, 112: http://dx.doi.org/10.1016/j.jag.2022.102913.
[2] Meng, Qingkai, Intrieri, Emanuele, Raspini, Federico, Peng, Ying, Liu, Haocheng, Casagli, Nicola. Satellite-based interferometric monitoring of deformation characteristics and their relationship with internal hydrothermal structures of an earthflow in Zhimei, Yushu, Qinghai-Tibet Plateau. REMOTE SENSING OF ENVIRONMENT[J]. 2022, 273: http://dx.doi.org/10.1016/j.rse.2022.112987.
[3] Intrieri, Emanuele, Meng, Qingkai, Tofani, Veronica. KLC2020 implementation: challenges for the development of satellite landslide early warning systems. LANDSLIDES. 2021, 18(10): 3499-3502, http://dx.doi.org/10.1007/s10346-021-01721-6.
[4] Meng, Qingkai, Li, Weile, Raspini, Federico, Xu, Qiang, Peng, Ying, Ju, Yuanzhen, Zheng, Yueze, Casagli, Nicola. Time-series analysis of the evolution of large-scale loess landslides using InSAR and UAV photogrammetry techniques: a case study in Hongheyan, Gansu Province, Northwest China. LANDSLIDES[J]. 2021, 18(1): 251-265, https://www.webofscience.com/wos/woscc/full-record/WOS:000554435300001.
[5] Han, Shuai, Meng, Qingkai, Liu, Haocheng, Peng, Ying, Han, Jianping, Jin, Shenghong, Fan, Shixiong, Xin, Bingchang, He, Lili, Li, Hao. Refined land-cover classification mapping using a multi-scale transformation method from remote sensing, unmanned aerial vehicle, and field surveys in Sanjiangyuan National Park, China. JOURNAL OF APPLIED REMOTE SENSING[J]. 2021, 15(1): http://dx.doi.org/10.1117/1.JRS.15.014513.
[6] Qingkai Meng, Pierluigi Confuorto, Ying Peng, Federico Raspini, Silvia Bianchini, Shuai Han, Haocheng Liu, Nicola Casagli. Regional Recognition and Classification of Active Loess Landslides Using Two-Dimensional Deformation Derived from Sentinel-1 Interferometric Radar Data. REMOTE SENSING[J]. 2020, 12(10): https://doaj.org/article/530d1bcae6fc4a558b8033e30046149e.
[7] Meng, Qingkai, Xu, Qiang, Wang, Baocun, Li, Weile, Peng, Ying, Peng, Dalei, Qi, Xing, Zhou, Dongdong. Monitoring the regional deformation of loess landslides on the Heifangtai terrace using the Sentinel-1 time series interferometry technique. NATURAL HAZARDS[J]. 2019, 98(2): 485-505, http://dx.doi.org/10.1007/s11069-019-03703-3.
[8] Meng, Qingkai, Miao, Fang, Zhen, Jing, Wang, Xinyuan, Wang, An, Peng, Ying, Fan, Qiang. GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: a case study from Wolong Giant Panda Natural Reserve, China. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT[J]. 2016, 75(3): 923-944, http://www.irgrid.ac.cn/handle/1471x/1183072.
[9] Meng Qingkai, Miao Fang, Zhen Jing, Huang Yan, Wang Xinyuan, Peng Ying. Impact of earthquake-induced landslide on the habitat suitability of giant panda in Wolong, China. JOURNAL OF MOUNTAIN SCIENCE[J]. 2016, 13(10): 1789-1805, http://dx.doi.org/10.1007/s11629-015-3734-0.
发表著作
(1) Spatial Observation of Giant Panda Habitat, Springer, 2023-01, 第 3 作者

科研活动

   
科研项目
( 1 ) 三江源区典型融冻泥流形变机理研究, 负责人, 国家任务, 2019-01--2022-12
( 2 ) 新疆第三次科学考察-伊犁河流域地质灾害调查评估, 负责人, 国家任务, 2022-10--2025-09
( 3 ) 全球变化下青藏高原典型融冻灾害早期识别及成灾预判, 负责人, 中国科学院计划, 2022-10--2025-10
( 4 ) 第二次青藏高原科学考察-重大工程扰动灾害及风险, 参与, 国家任务, 2019-11--2024-10