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讲师
刘晓杰

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姓名:刘晓杰

职称:讲师

地址:甘肃省兰州市兰工坪路287号 必威betway

邮编:730050

电话:

E-mail:Xiaojie_Liu_cd@163.com

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教育经历

2012.09-2016.07,betway必威测绘工程专业,本科

2016.09-2018.07,长安大学大地测量学与测量工程专业,硕士研究生

2018.09-2022.12,长安大学测绘科学与技术专业,博士研究生

2020.09-2022.12,西班牙阿利坎特大学土木工程专业,博士研究生

2023.12-至今betway必威土木工程专业,博士后(国家级博士后人才)

工作履历

2021.03-至今,欧洲空间局青年研究员

2023.03-至今,必威betway测绘系讲师

社会兼职

《Landslides》、《Advances in Space Research》、《Geomorphology》、《Remote Sensing Letter》、《The Arabian Journal of Geosciences》、《International Journal of Mining Science and Technology》、《IEEE Transactions on Geoscience and Remote Sensing》、《Natural Hazards Research》及《Remote Sensing of Environment》、《ISPRS Journal of Photogrammetry and Remote Sensing》及《武汉大学学报(信息科学版)》等20余中国际SCI/EI学术期刊审稿人。


教学工作

硕士生理论课程:InSAR原理与应用

本科生理论课程:GIS程序设计与开发、InSAR原理及应用

研究领域

影像大地测量学、现代测量数据处理;

雷达遥感(InSAR/SAR)、灾害遥感、冰冻圈遥感;

地质灾害(崩塌、滑坡、泥石流、地面沉降)早期识别、监测预警与风险评价;

深度学习测绘遥感与地学应用

欢迎测绘科学与技术、计算机科学与技术、土木工程及地质工程相关专业报考研究生,推荐至国内知名高校与科研机构及国外攻读博士学位

科研项目

[1]时序InSAR技术用于大范围滑坡全过程研究,长安大学优秀博士学位论文培育资助项目,主持,2019.01-2020.12;

[2]黄河上游黄土滑坡智能识别与多因素耦合灾变机理研究,甘肃省科技重大专项项目,主持,2023.11-2026.11;

[3]综合遥感黄河中上游地质灾害广域精准识别与三维动态监测,甘肃省青年基金,主持,2023.07-2025.07;

[4] Three- and four- dimensional dynamic time series monitoring of landslide deformation using TerraSAR-X images,德国宇航局(DLR)科研项目,主持,2022.04-2024.04;

[5] InSAR大数据高精度准动态形变时序分析,国家自然科学基金面上项目,主要参与人员,2019.01-2022.12;

[6]复合链生灾害监测与人工智能预测技术,国家重点研发计划项目,主要参与人员,2022.11-2025.10;

[7]基于InSAR技术的高位冰崩、滑坡及崩塌灾害预判研究,中国地质科学院地质力学研究所委托省部级科研项目,核心研究人员,2020.10-2021.01;

[8]德钦县县城高位地质灾害InSAR观测,中国地质环境监测院委托业务,核心研究人员,2020.04-2020.10;

[9]星空地InSAR技术用于中美滑坡监测预警联合研究,国家自然科学基金海外及港澳学者合作研究基金,主要参与人员,2020.01-2023.12;

[10]黄土重大灾害超前判识、临灾预警与风险控制,国家重点基础研究发展计划(“973计划”)项目,主要参与人员,2016.12-2018.09;

[11]基于空天地技术的滑坡识别与智能监测预警,国家自然科学基金重点项目,主要参与人员,2018.12-2022.12;

奖励与荣誉

[1] 2017年硕士研究生国家奖学金,中华人民共和国教育部,2017年11月.

[2]长安大学2016-2017学年“优秀研究生”,长安大学,2017年11月.

[3]长安大学第四届“互联网+”老员工创新创业大赛银奖(项目负责人),长安大学,2018年8月.

[4] 2019年全国博士生(测绘科学与技术)学术论坛墙报组优秀奖,河海大学地球科学与工程学院,2019年10月.

[5]长安大学2018-2019学年“优秀研究生”,长安大学,2019年12月.

[6] 2019年博士研究生国家奖学金,中华人民共和国教育部,2019年11月.

[7]长安大学第六届“互联网+”老员工创新创业大赛金奖(项目负责人),长安大学,2020年8月

[8]第六届中国国际“互联网+”老员工创新创业大赛陕西赛区省级银奖(项目负责人),中共陕西省委教育工委/陕西省教育厅,2020年10月.

[9]长安大学2019-2020学年“优秀研究生”,长安大学,2020年12月.

[10] 2020年博士研究生国家奖学金,中华人民共和国教育部,2020年11月.

[11] 2020年全国博士生(测绘科学与技术)学术论坛口头报告优秀奖,长安大学地质工程与测绘学院,2020年11月.

[12]第七届中国国际“互联网+”老员工创新创业大赛陕西赛区省级银奖(排名第二),中共陕西省委教育工委/陕西省教育厅,2021年8月.

[13]长安大学优秀员工(全年级唯一),长安大学就业处,2021年9月.

[14]国家留学基金委(CSC)公派联合培养博士研究生资格,国家留学基金委,2021年6月.

[15]陕西省2022年优秀毕业生,陕西省教育厅,2022年6月.

[16] 2022年测绘科学技术奖一等奖(排名11),中国测绘学会,2022年8月

[17] 2023年教育部海外博士后引才专项,中组部/教育部,2023年12


授权专利

[1]一种InSAR干涉相位真值确定及差分干涉测量方法;

[2]一种基于地面沉降信息的黄土滑坡早期识别方法;

[3]一种融合DEM、光学遥感和形变信息的潜在滑坡识别方法;

[4]一种InSAR时序DEM误差估计方法;

学术成果

[1]Liu Xiaojie, Zhao Chaoying, Yin Yueping, Tomás Roberto, Zhang Jing, Zhang Qin, Wei Yunjie, Wang Meng, M. Lopez-Sanchez, Juan. Refined InSAR method for mapping and classification of active landslides in a high mountain region: Deqin County, southern Tibet Plateau, China, Remote Sensing of Environment, 2024, 304: 114030. (SCI,中科院一区,地学及遥感TOP期刊,遥感及影像科学领域全球排名第1,影响因子13.850)

[2]Liu Xiaojie, Zhao Chaoying, Zhang Qin, Yin Yueping, Lu Zhong, et al., 2021. Three-dimensional and long-term landslide displacement estimation by fusing C- and L-band SAR observations: A case study in Gongjue County, Tibet, China. Remote Sensing of Environment 267, 112745. (SCI,中科院一区,地学及遥感TOP期刊,遥感及影像科学领域全球排名第1,影响因子13.850)

[3]Liu Xiaojie, Zhao Chaoying, Zhang Qin, Lu Zhong, Li Zhenhong, et al., 2021. Integration of Sentinel-1 and ALOS/PALSAR-2 SAR datasets for mapping active landslides along the Jinsha River corridor, China. Engineering Geology 284, 106033. (SCI, ESI 1%高被引论文,中科院一区,地学TOP期刊,工程地质领域全球排名第2,影响因子6.902)

[4]Liu Xiaojie, Zhao Chaoying, Zhang Qin, Lu Zhong, Li Zhenhong, 2020. Deformation of the Baige Landslide, Tibet, China, Revealed Through the Integration of Cross‐Platform ALOS/PALSAR‐1 and ALOS/PALSAR‐2 SAR Observations. Geophysical Research Letters 47, e2019GL086142. (SCI,中科院一区,地学TOP期刊,自然指数(Nature Index)期刊,影响因子5.58)

[5]Liu Xiaojie, Zhao Chaoying, Zhang Qin, Yang Chengsheng, Zhu Wu, 2020. Heifangtai loess landslide type and failure mode analysis with ascending and descending Spot-mode TerraSAR-X datasets. Landslides 17, 205-215. (SCI,中科院小类一区,地学TOP期刊,影响因子6.153)

[6]Liu Xiaojie, Zhao Chaoying, Zhang Qin, Yang Chengsheng, Zhang Jing, 2019. Characterizing and Monitoring Ground Settlement of Marine Reclamation Land of Xiamen New Airport, China with Sentinel-1 SAR Datasets. Remote Sensing 11, 585. (SCI,中科院二区,工程技术TOP期刊,影响因子5.349)

[7]Liu Xiaojie, Zhao Chaoying, Zhang Qin, Peng Jianbing, Zhu Wu, Lu Zhong, 2018. Multi-Temporal Loess Landslide Inventory Mapping with C-, X- and L-Band SAR Datasets—A Case Study of Heifangtai Loess Landslides, China. Remote Sensing 10, 1756. (SCI,中科院二区,工程技术TOP期刊,影响因子5.349)

[8]Yin Yueping,Liu Xiaojie *, Zhao Chaoying, Tomás Roberto, Zhang Qin, et al., 2022. Multi-dimensional and long-term time series monitoring and early warning of landslide hazards with improved SAR offset-tracking method. Science China Technological Science. (SCI,中科院二区,中国工程院期刊,影响因子3.903)

[9]Wei Yuming,Liu Xiaojie, Zhao Chaoying, Tomás Roberto, Jiang Zhuo, 2021. Observation of Surface Displacement Associated with Rapid Urbanization and Land Creation in Lanzhou, Loess Plateau of China with Sentinel-1 SAR Imagery. Remote Sensing 13, 3472. (SCI,中科院二区,工程技术TOP期刊,影响因子5.349)

[10]Ma Zhangfeng, Liu Jihong,Liu Xiaojie, Hu Jia, et al., 2021. Go Extra Miles: An Additional Error Correction Procedure Aimed to Further Improve Phase Unwrapping Accuracy and Reduce Creep Model Uncertainty. Journal of Geophysical Research: Solid Earth 127, e2021JB022478. (SCI,中科院一区,地学TOP期刊,自然指数(Nature Index)期刊,影响因子4.39)

[11]Hu Liuru, Navarro-Hernandez María I.,Liu Xiaojie, Tomas Roberto, et al., 2022. Analysis of regional large-gradient land subsidence in the Alto Guadalentín Basin (Spain) using open-access aerial LiDAR datasets. Remote Sensing of Environment 280, 113218. (SCI,中科院一区,地学及遥感TOP期刊,遥感及影像科学领域全球排名第1,影响因子13.850)

[12]Ma Zhangfeng, Liu Jihong, Aoki Yosuke, Wei Shengji,Liu Xiaojie, Cui Yan, et al., 2022. Towards big SAR data era: An effcient Sentinel-1 Near-Real-Time InSAR processing workflow with an emphasis on co-registration and phase unwrapping. ISPRS Journal of Photogrammetry and Remote Sensing 188, 286-300. (SCI,中科院一区,遥感TOP期刊,影响因子11.774)

[13]Ma Zhangfeng, Wei Shengji, Li Xing, Aoki Yosuke, Liu Jihong,Liu Xiaojie, Mao Wenfei, et al., 2022. Challenges and Prospects to Time Series Burst Overlap Interferometry (BOI): Some Insights from a New BOI Algorithm Test over the Chaman Fault. IEEE Transactions on Geoscience and Remote Sensing 60, 1-19. (SCI,中科院二区,影响因子8.125)

[14]Dai Keren, Li Zhenhong, Xu Qiang, Burgmann Roland, G. Milledge David, Tomás Roberto, Fan Xuanmei, Zhao Chaoying,Liu Xiaojie, Peng Jianbing, et al., 2020. Entering the Era of Earth Observation Based Landslide Warning Systems A novel and exciting framework. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 136-153. (SCI,中科院一区,地学TOP期刊,影响因子13.925)

[15]Chen Liquan, Zhao Chaoying, Li Bin, He Kai, Ren Chaofeng,Liu Xiaojie, Liu Donglie, 2021. Deformation monitoring and failure mode research of mining-induced Jianshanying landslide in karst mountain area, China with ALOS/PALSAR-2 images. Landslides 18, 2739-2750. (SCI,中科院小类一区,地学TOP期刊,影响因子6.153)

[16]Yang Liye, Lu Zhong, Zhao Chaoying, Jinwoo Kim, Yang Chengsheng, Wang Baohang,Liu Xiaojie, Wang Zhe, 2022. Analyzing the triggering factors of glacial lake outburst floods with SAR and optical images: a case study in Jinweng Co, Tibet, China. Landslides 19, 855-864. (SCI,中科院小类一区,地学TOP期刊,影响因子6.153)

[17]Li Guangrong, Zhao Chaoying, Wang Baohang,Liu Xiaojie, Chen Hengyi, 2022. Land subsidence monitoring and dynamic prediction of Reclaimed Islands with Multi-Temporal InSAR Techniques in Xiamen and Zhangzhou Cities, China. Remote Sensing, 14, 2930. (SCI,中科院二区,工程技术TOP期刊,影响因子5.349)

[18]Jiang Z, Zhao C, Yan M, Wang B H,Liu X J, et al. The Early Identification and Spatio-Temporal Characteristics of Loess Landslides with SENTINEL-1A Datasets: A Case of Dingbian County, China[J]. Remote Sensing, 2022, 14(23): 6009.

[19]Liu Xiaojie, Zhao Chaoying, Wang Baohang, Zhu Wenfeng, 2018. MT-InSAR landslide monitoring with the aid of homogeneous pixels filter. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3, 1135-1139. (EI)

[20]Zhao Chaoying,Liu Xiaojie, Zhu Wu, Zhu Wenfeng, 2018. Two-dimensional loess landslide deformation monitoring with multidimensional small baseline subset (MSBAS) - a case study of Xinyuan No.2 landslide, Gansu, China. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3, 2341-2345. (EI)

[21]Liu Xiaojie, Zhao Chaoying, Zhang Qin, Lu Zhong, Dai Fuchu, 2019. Investigating the deformation history and failure mechanism of Heifangtai loess landslide, China with Multi-source SAR data. 2019 IEEE International Geoscience and Remote Sensing Symposium. (EI)

参与编写专著:

殷跃平,朱赛楠,李滨等.青藏高原高位远程地质灾害[M].科学出版社,2021.