基本信息

张平 女 中国科学院空天信息创新研究院
电子邮件: zhangping@aircas.ac.cn
通信地址: 北京市海淀区邓庄南路9号
邮政编码:100094
研究领域
雷达信号处理、定量化与质量评价体系研究
层析雷达信号处理与应用研究
基于多源数据的积雪关键参数反演与评估体系研究
招生信息
硕士研究生 1名
招生专业
081002-信号与信息处理
招生方向
层析雷达信号处理与应用研究,雷达信号处理、定量化与质量评价,积雪关键参数反演与评估
教育背景
2006-03--2009-06 中国科学院电子学研究所 博士学位2002-09--2005-03 西安电子科技大学 硕士学位
学历
研究生
学位
博士
工作经历
工作简历
2015-03~现在, 中国科学院空天信息创新研究院, 高级工程师2009-07~2015-02,中国科学院遥感与数字地球所, 助理研究员
专利与奖励
近5年专利成果
[1] 李彦言, 李震, 张平, 高硕, 黄磊. 一种融合光学与SAR通道关联性的语义分割方法和装置. CN: CN118115732A, 2024-05-31.[2] 高硕, 李震, 张平. 基于随机森林模型的积雪深度反演方法及装置. CN: CN114943188A, 2022-08-26.[3] 高硕, 张平, 李震. 一种积雪深度的反演方法及装置. CN: CN115099064A, 2022-09-23.[4] 高硕, 李震, 张平. 基于随机森林模型的积雪深度反演方法及装置. CN: CN114943188B, 2022-11-18.[5] 高硕, 张平, 李震. 一种积雪深度的反演方法及装置. CN: CN115099064B, 2022-11-18.[6] 张平, 乔海伟, 李震. 一种基于静止轨道卫星全球积雪判别方法和装置. CN202111154407.6, 2021-09-30.[7] 张平, 乔海伟, 李震. 一种基于静止轨道卫星全球积雪判别方法和装置. CN: CN114067218A, 2022-02-18.[8] 高硕, 李震, 张平. 一种森林影响全球雪水当量动态反演方法和装置. CN202111124521.4, 2021-09-25.[9] 高硕, 李震, 张平. 一种森林影响全球雪水当量动态反演方法和装置. CN: CN114218740A, 2022-03-22.[10] 张平, 黄磊, 吴志鹏, 李震. 植被高度的测量方法、装置、系统以及存储介质. CN: CN113156424A, 2021-07-23.[11] 陈权, 高硕, 张平, 李震. 一种动态积雪深度的获取方法. CN: CN112749494A, 2021-05-04.[12] 陈权, 高硕, 张平, 李震. 一种提取积雪层相关长度的方法. CN: CN112784419B, 2021-12-31.[13] 陈权, 高硕, 张平, 李震. 一种提取积雪层相关长度的方法. CN: CN112784419A, 2021-05-11.[14] 陈权, 高硕, 张平, 李震. 一种提取积雪层相关长度的方法. CN: CN112784419A, 2021-05-11.[15] 陈权, 高硕, 张平, 李震. 一种动态积雪深度的获取方法. CN: CN112749494B, 2021-12-17.[16] 陈权, 高硕, 张平, 李震. 一种动态积雪深度的获取方法. CN: CN112749494A, 2021-05-04.[17] 张平, 李震, 赵常军, 李堃. 基于分布目标的星载SAR极化定标方法及设备. CN: CN111103572A, 2020-05-05.[18] 张平, 李震, 赵常军, 李堃. 基于分布目标的星载SAR极化定标方法及设备. CN: CN111103572B, 2023-11-07.[19] 陈权, 陶浩然, 李震, 张平. 一种全极化SAR数据土壤含水量反演方法. CN: CN106990121A, 2017-07-28.[20] 陈权, 陶浩然, 李震, 张平. 一种利用全极化SAR数据计算地表均方根高度的方法. CN: CN106980765A, 2017-07-25.
出版信息
近5年发表论文
[1] Zhang, Ping, Wu, Zhipeng, Li, Zhen, Huang, Lei, Liu, Chang, Gao, Shuo, Zhou, Jianmin, Qiao, Haiwei, Zhang, Shiqun. Assessment of a UAV Radar System for Reconstructing Vertical Structure of Forests by Single Pass. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2025, 第 1 作者63: http://dx.doi.org/10.1109/TGRS.2024.3518567.[2] Haiwei Qiao, Ping Zhang, Zhen Li, Lei Huang, Zhipeng Wu, Shuo Gao, Chang Liu, Shuang Liang, Jianmin Zhou, Wei Sun, Jian Wang. A Novel Method for Snow Depth Retrieval Using Improved Dense Medium RVoG Model. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2024, 第 11 作者17: https://doaj.org/article/e0658165b7974836b61053e569f93881.[3] Haiwei Qiao, Ping Zhang, Zhen Li, Lei Huang, Shuo Gao, Chang Liu, Zhipeng Wu, Shuang Liang, Jianmin Zhou, Wei Sun, Jian Wang. A new snow depth retrieval method by improved hybrid DEM differencing and coherence amplitude algorithm for PolInSAR. JOURNAL OF HYDROLOGY. 2024, 第 11 作者628: http://dx.doi.org/10.1016/j.jhydrol.2023.130507.[4] Haiwei Qiao, Ping Zhang, Zhen Li, Lei Huang, Zhipeng Wu, Shuo Gao, Chang Liu, Shuang Liang, Jianmin Zhou, Wei Sun, Jian Wang. A Novel Method for Snow Depth Retrieval Using Improved Dense Medium RVoG Model. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2024, 第 2 作者 通讯作者 17: https://doaj.org/article/e0658165b7974836b61053e569f93881.[5] Qiao, Haiwei, Zhang, Ping, Li, Zhen, Huang, Lei, Gao, Shuo, Liu, Chang, Wu, Zhipeng, Liang, Shuang, Zhou, Jianmin, Sun, Wei, Wang, Jian. A new snow depth retrieval method by improved hybrid DEM differencing and coherence amplitude algorithm for PolInSAR. JOURNAL OF HYDROLOGY[J]. 2024, 第 2 作者 通讯作者 628: http://dx.doi.org/10.1016/j.jhydrol.2023.130507.[6] Qiao, Haiwei, Zhang, Ping, Li, Zhen, Huang, Lei, Wu, Zhipeng, Gao, Shuo, Liu, Chang, Liang, Shuang, Zhou, Jianmin, Sun, Wei. Snow depth retrieval method for PolSAR data using multi-parameters snow backscattering model. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING[J]. 2024, 第 2 作者 通讯作者 218: 136-149, http://dx.doi.org/10.1016/j.isprsjprs.2024.09.005.[7] Haiwei Qiao, Ping Zhang, Zhen Li, Lei Huang, Changjun Zhao, Shuo Gao, Chang Liu, Zhipeng Wu, Shuang Liang, Jianmin Zhou, Wei Sun, Lifu Wang. Snow profile reconstruction from tomographic UAV SAR. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2023, 第 11 作者118: 103291, http://dx.doi.org/10.1016/j.jag.2023.103291.[8] Gao, Shuo, Li, Zhen, Zhang, Ping, Chen, Quan, Huang, Lei, Zhou, Jianmin, Zhao, Changjun, Qiao, Haiwei, Zheng, Zhaojun. A novel global snow depth retrieval method considering snow metamorphism and forest influence. REMOTE SENSING OF ENVIRONMENT[J]. 2023, 第 3 作者295: http://dx.doi.org/10.1016/j.rse.2023.113712.[9] Liu, Chang, Li, Zhen, Huang, Lei, Zhang, Ping, Wu, Zhipeng, Zhou, Jianmin, Tang, Zhiguang, Li, Gang. Identifying Wet and Dry Snow With Dual-Polarized C-Band SAR Data Based on Markov Random Field Model. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2023, 第 4 作者20: http://dx.doi.org/10.1109/LGRS.2023.3266399.[10] Liu, Chang, Li, Zhen, Wu, Zhipeng, Huang, Lei, Zhang, Ping, Li, Gang. An Unsupervised Snow Segmentation Approach Based on Dual-Polarized Scattering Mechanism and Deep Neural Network. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2023, 第 5 作者61: http://dx.doi.org/10.1109/TGRS.2023.3262727.[11] Haiwei Qiao, Ping Zhang, Zhen Li, Lei Huang, Changjun Zhao, Shuo Gao, Chang Liu, Zhipeng Wu, Shuang Liang, Jianmin Zhou, Wei Sun, Lifu Wang. Snow profile reconstruction from tomographic UAV SAR. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2023, 第 2 作者 通讯作者 118: 103291, http://dx.doi.org/10.1016/j.jag.2023.103291.[12] Gao, Shuo, Li, Zhen, Zhang, Ping, Chen, Quan, Huang, Lei, Zhou, Jianmin, Zhao, Changjun, Qiao, Haiwei, Zheng, Zhaojun. A novel global snow depth retrieval method considering snow metamorphism and forest influence. REMOTE SENSING OF ENVIRONMENT[J]. 2023, 第 3 作者295: http://dx.doi.org/10.1016/j.rse.2023.113712.[13] Liu, Chang, Li, Zhen, Huang, Lei, Zhang, Ping, Wu, Zhipeng, Zhou, Jianmin, Tang, Zhiguang, Li, Gang. Identifying Wet and Dry Snow With Dual-Polarized C-Band SAR Data Based on Markov Random Field Model. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2023, 第 4 作者20: http://dx.doi.org/10.1109/LGRS.2023.3266399.[14] Liu, Chang, Li, Zhen, Wu, Zhipeng, Huang, Lei, Zhang, Ping, Li, Gang. An Unsupervised Snow Segmentation Approach Based on Dual-Polarized Scattering Mechanism and Deep Neural Network. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2023, 第 5 作者61: http://dx.doi.org/10.1109/TGRS.2023.3262727.[15] Gao, Shuo, li, zhen, Zhang, Ping, Chen, Quan, Jiangyuan Zeng, Zhao, Changjun, Liu, Chang, 郑照军. Global Sensitivity Analysis of the MEMLS Model for Retrieving Snow Water Equivalent. Ieee Transactions on Geoscience and Remote Sensing[J]. 2022, 第 11 作者60(4303415): 1-15, https://ieeexplore.ieee.org/document/9646918.[16] 吴志鹏, 张平, 李震, 黄磊, 刘畅, 高硕. ���������������������������������������������������������. 系统工程与电子技术[J]. 2022, 第 11 作者http://kns.cnki.net/kcms/detail/11.2422.TN.20220225.0948.016.html.[17] 刘畅, 李震, 张平, 黄磊, 李志显, 高硕. Wet snow detection using dual-polarized Sentinel-1 SAR time series data considering different land categories. Geocarto International[J]. 2022, 第 11 作者[18] 刘畅, 李震, 张平, 吴志鹏. Seasonal snow cover classification based on SAR imagery and topographic data. Remote sensing letter[J]. 2022, 第 3 作者13(3): 269-278, [19] Gao, Shuo, Li, Zhen, Zhang, Ping, Zeng, Jiangyuan, Chen, Quan, Zhao, Changjun, Liu, Chang, Wu, Zhipeng, Qiao, Haiwei. An Assessment of the Applicability of Three Reanalysis Snow Density Datasets Over China Using Ground Observations. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 第 11 作者19: [20] Dejing Qiao, Zhen Li, Jiangyuan Zeng, Shuang Liang, Kaighin A. McColl, Haiyun Bi, Jianmin Zhou, Ping Zhang. Uncertainty Characterization of Ground-Based, Satellite, and Reanalysis Snow Depth Products Using Extended Triple Collocation. Water Resources Research[J]. 2022, 第 8 作者58: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021WR030895.[21] Gao, Shuo, li, zhen, Zhang, Ping, Chen, Quan, Jiangyuan Zeng, Zhao, Changjun, Liu, Chang, 郑照军. Global Sensitivity Analysis of the MEMLS Model for Retrieving Snow Water Equivalent. Ieee Transactions on Geoscience and Remote Sensing[J]. 2022, 第 3 作者 通讯作者 60(4303415): 1-15, https://ieeexplore.ieee.org/document/9646918.[22] 吴志鹏, 张平, 李震, 黄磊, 刘畅, 高硕. 基于轻小型无人机雷达的植被高度反演方法. 系统工程与电子技术[J]. 2022, 第 2 作者 通讯作者 http://kns.cnki.net/kcms/detail/11.2422.TN.20220225.0948.016.html.[23] 刘畅, 李震, 张平, 黄磊, 李志显, 高硕. Wet snow detection using dual-polarized Sentinel-1 SAR time series data considering different land categories. Geocarto International[J]. 2022, 第 3 作者 通讯作者 [24] 刘畅, 李震, 张平, 吴志鹏. Seasonal snow cover classification based on SAR imagery and topographic data. Remote sensing letter[J]. 2022, 第 3 作者13(3): 269-278, [25] Gao, Shuo, Li, Zhen, Zhang, Ping, Zeng, Jiangyuan, Chen, Quan, Zhao, Changjun, Liu, Chang, Wu, Zhipeng, Qiao, Haiwei. An Assessment of the Applicability of Three Reanalysis Snow Density Datasets Over China Using Ground Observations. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 第 3 作者 通讯作者 19: http://dx.doi.org/10.1109/LGRS.2022.3202897.[26] 刘畅, 李震, 张平. Variability of the snowline altitude in the eastern Tibetan Plateau from 1995 to 2016 using Google Earth Engine. Journal of Applied Remote Sensing[J]. 2021, 第 3 作者15(4): 048505, [27] Qiao, Haiwei, Zhang, Ping, Li, Zhen, Liu, Chang. A New Geostationary Satellite-Based Snow Cover Recognition Method for FY-4A AGRI. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 第 11 作者14: 11372-11385, http://dx.doi.org/10.1109/JSTARS.2021.3125015.[28] Sun, Guangde, Li, Zhen, Huang, Lei, Chen, Quan, Zhang, Ping. Quality analysis and improvement of polarimetric synthetic aperture radar (SAR) images from the GaoFen-3 satellite using the Amazon rainforest as an example. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2021, 第 5 作者42(6): 2131-2154, https://www.webofscience.com/wos/woscc/full-record/WOS:000603913400001.[29] 李震, 张平, 乔海伟, 赵常军, 周建民, 黄磊. ������SAR������������������������������������. 雷达学报[J]. 2021, 第 11 作者10(1): 116-130, [30] Huang, Lei, Li, Zhen, Zhou, Jian Min, Zhang, Ping. An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018. REMOTE SENSING OF ENVIRONMENT[J]. 2021, 第 4 作者258: http://dx.doi.org/10.1016/j.rse.2021.112376.[31] 刘畅, 李震, 张平. Variability of the snowline altitude in the eastern Tibetan Plateau from 1995 to 2016 using Google Earth Engine. Journal of Applied Remote Sensing[J]. 2021, 第 3 作者15(4): 048505, [32] Qiao, Haiwei, Zhang, Ping, Li, Zhen, Liu, Chang. A New Geostationary Satellite-Based Snow Cover Recognition Method for FY-4A AGRI. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 第 2 作者 通讯作者 14: 11372-11385, http://dx.doi.org/10.1109/JSTARS.2021.3125015.[33] Sun, Guangde, Li, Zhen, Huang, Lei, Chen, Quan, Zhang, Ping. Quality analysis and improvement of polarimetric synthetic aperture radar (SAR) images from the GaoFen-3 satellite using the Amazon rainforest as an example. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2021, 第 5 作者42(6): 2131-2154, https://www.webofscience.com/wos/woscc/full-record/WOS:000603913400001.[34] 李震, 张平, 乔海伟, 赵常军, 周建民, 黄磊. 层析SAR地表参数信息提取研究进展. 雷达学报[J]. 2021, 第 2 作者 通讯作者 10(1): 116-130, [35] Huang, Lei, Li, Zhen, Zhou, Jian Min, Zhang, Ping. An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018. REMOTE SENSING OF ENVIRONMENT[J]. 2021, 第 4 作者258: http://dx.doi.org/10.1016/j.rse.2021.112376.[36] Wang, Zongliang, Li, Zhen, Zeng, Jiangyuan, Liang, Shuang, Zhang, Ping, Tang, Fuquan, Chen, Siyuan, Ma, Xiongwei. Spatial and Temporal Variations of Arctic Sea Ice From 2002 to 2017. EARTH AND SPACE SCIENCE[J]. 2020, 第 5 作者7(9): https://doaj.org/article/f553c4a67c704755b4e3f161c5e0b47d.[37] 李震, 田邦森, 张平, 赵常军, 孙光德, 刘畅. ������������������������������������������������. 南京信息工程大学学报:自然科学版[J]. 2020, 第 3 作者12(2): 159-169, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=NJXZ202002004&v=MTQxNDU3cWVadWR2Rnk3Z1Y3ek9LeWZUZExHNEhOSE1yWTlGWUlSOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI=.[38] Liu, Chang, Li, Zhen, Zhang, Ping, Zeng, Jiangyuan, Gao, Shuo, Zheng, Zhaojun. An Assessment and Error Analysis of MOD10A1 Snow Product Using Landsat and Ground Observations Over China During 2000-2016. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2020, 第 11 作者13: 1467-1478, https://www.webofscience.com/wos/woscc/full-record/WOS:000531380500005.[39] Liang, Shuang, Zeng, Jiangyuan, Li, Zhen, Qiao, Dejing, Zhang, Ping, Bi, Haiyun. Consistent Comparison of Remotely Sensed Sea Ice Concentration Products with ERA-Interim Reanalysis Data in Polar Regions. REMOTE SENSING[J]. 2020, 第 5 作者12(18): https://doaj.org/article/859d8587c1da458c83566ddab6fce1e3.[40] Wang, Zongliang, Li, Zhen, Zeng, Jiangyuan, Liang, Shuang, Zhang, Ping, Tang, Fuquan, Chen, Siyuan, Ma, Xiongwei. Spatial and Temporal Variations of Arctic Sea Ice From 2002 to 2017. EARTH AND SPACE SCIENCE[J]. 2020, 第 5 作者7(9): https://www.doi.org/10.1029/2020EA001278.[41] 李震, 田邦森, 张平, 赵常军, 孙光德, 刘畅. 合成孔径雷达积雪参数反演研究进展. 南京信息工程大学学报:自然科学版[J]. 2020, 第 3 作者12(2): 159-169, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=NJXZ202002004&v=MTQxNDU3cWVadWR2Rnk3Z1Y3ek9LeWZUZExHNEhOSE1yWTlGWUlSOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI=.[42] Liu, Chang, Li, Zhen, Zhang, Ping, Zeng, Jiangyuan, Gao, Shuo, Zheng, Zhaojun. An Assessment and Error Analysis of MOD10A1 Snow Product Using Landsat and Ground Observations Over China During 2000-2016. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2020, 第 3 作者 通讯作者 13: 1467-1478, https://www.webofscience.com/wos/woscc/full-record/WOS:000531380500005.[43] Liang, Shuang, Zeng, Jiangyuan, Li, Zhen, Qiao, Dejing, Zhang, Ping, Bi, Haiyun. Consistent Comparison of Remotely Sensed Sea Ice Concentration Products with ERA-Interim Reanalysis Data in Polar Regions. REMOTE SENSING[J]. 2020, 第 5 作者12(18): https://doaj.org/article/859d8587c1da458c83566ddab6fce1e3.[44] Zhao, Changjun, Li, Zhen, Tian, Bangsen, Zhang, Ping, Chen, Quan. A Ground Surface Deformation Monitoring InSAR Method Using Improved Distributed Scatterers Phase Estimation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2019, 第 4 作者12(11): 4543-4553, [45] Zhao, Changjun, Li, Zhen, Zhang, Ping, Tian, Bangsen, Gao, Shuo. Improved Maximum Likelihood Estimation for Optimal Phase History Retrieval of Distributed Scatterers in InSAR Stacks. IEEE ACCESS[J]. 2019, 第 11 作者7: 186319-186327, https://doaj.org/article/832e4179771a426aabb2983cd42887fd.[46] Zhao, Changjun, Li, Zhen, Tian, Bangsen, Zhang, Ping, Chen, Quan. A Ground Surface Deformation Monitoring InSAR Method Using Improved Distributed Scatterers Phase Estimation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2019, 第 4 作者12(11): 4543-4553, [47] Zhao, Changjun, Li, Zhen, Zhang, Ping, Tian, Bangsen, Gao, Shuo. Improved Maximum Likelihood Estimation for Optimal Phase History Retrieval of Distributed Scatterers in InSAR Stacks. IEEE ACCESS[J]. 2019, 第 3 作者 通讯作者 7: 186319-186327, https://doaj.org/article/832e4179771a426aabb2983cd42887fd.[48] Chen, Quan, Li, Zhen, Zhang, Ping, Tao, Haoran, Zeng, Jiangyuan. A Preliminary Evaluation of the GaoFen-3 SAR Radiation Characteristics in Land Surface and Compared With Radarsat-2 and Sentinel-1A. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2018, 第 11 作者15(7): 1040-1044, https://www.webofscience.com/wos/woscc/full-record/WOS:000436464300015.[49] 刘畅, 李震, 张平, 田帮森, 周建民. ������Google Earth Engine���������������������MODIS������������. 遥感技术与应用[J]. 2018, 第 3 作者33(4): 584-592, http://lib.cqvip.com/Qikan/Article/Detail?id=676270612.[50] Chen, Quan, Li, Zhen, Zhang, Ping, Tao, Haoran, Zeng, Jiangyuan. A Preliminary Evaluation of the GaoFen-3 SAR Radiation Characteristics in Land Surface and Compared With Radarsat-2 and Sentinel-1A. 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发表著作
(1) 高分辨率微波成像与超分辨率信息处理, 国防工业出版社, 2013-11, 第 4 作者(2) High-Resolution Microwave Imaging, Springer Singapore, 2018-10, 第 4 作者
科研活动
近5年科研项目
( 1 ) 遥感产品生成系统和数据集成, 主持, 国家级, 2018-05--2023-04( 2 ) 中国积雪时空分布特性遥感调查, 参与, 国家级, 2017-02--2022-01( 3 ) 面向海岸植被的无人机SAR数据获取与处理系统研制, 参与, 省级, 2019-04--2022-03( 4 ) 积雪结构特性雷达分层解析技术, 参与, 市地级, 2019-09--2021-09