陈权-中国科学院大学-UCAS
[中文]
[English]
教育背景
工作经历
专利与奖励
出版信息
科研活动
基本信息
陈权 男 硕导 中国科学院空天信息创新研究院电子邮件： chenquan@aircas.ac.cn通信地址： 北京市海淀区邓庄南路9号 空天C座 408室邮政编码：
招生信息
招生专业
070503-地图学与地理信息系统081002-信号与信息处理070501-自然地理学
招生方向
微波遥感数据处理陆表参数定量反演散射辐射特性研究
教育背景
2003-09--2008-06 中国科学院研究生院/遥感应用研究所 博士1999-09--2003-06 武汉大学 学士
工作经历
工作简历
2019-07~现在, 中国科学院空天信息创新研究院, 高级工程师2019-04~2020-09,北卡罗莱纳大学夏洛特分校, 访问学者2013-01~2019-06,中国科学院遥感与数字地球研究所, 高级工程师2008-07~2012-12,中国科学院对地观测与数字地球科学中心, 助理研究员，副研究员
社会兼职
2012-06-01-今,国际数字地球学会中国国家委员会, 微波遥感专委会秘书长
专利与奖励
奖励信息
（1）&nbsp面向对象的高可信SAR处理系统,&nbsp特等奖,&nbsp部委级,&nbsp2018
专利成果
（ 1 ）&nbsp一种动态积雪深度的获取方法,&nbsp发明专利,&nbsp2021,&nbsp第 1 作者,&nbsp专利号: 202110098207.7（ 2 ）&nbsp一种提取积雪层相关长度的方法,&nbsp发明专利,&nbsp2021,&nbsp第 1 作者,&nbsp专利号: 202110099758.5（ 3 ）&nbsp一种基于旋转对称性的全极化SAR数据的极化定标方法,&nbsp发明专利,&nbsp2020,&nbsp第 4 作者,&nbsp专利号: ZL201810213683.7（ 4 ）&nbsp一种利用全极化SAR数据计算地表均方根高度的方法,&nbsp发明专利,&nbsp2020,&nbsp第 1 作者,&nbsp专利号: ZL201710201028.5（ 5 ）&nbsp一种用于地表粗糙度观测的近景摄影测量方法,&nbsp发明专利,&nbsp2019,&nbsp第 1 作者,&nbsp专利号: ZL201710204647.X（ 6 ）&nbsp一种盐度卫星双波段亮温数据联合反演土壤水分的方法,&nbsp发明专利,&nbsp2019,&nbsp第 1 作者,&nbsp专利号: ZL201610064046.9
出版信息
发表论文
[1] Tiantian Wang, Jiangyuan Zeng, Kun-Shan Chen, Zhen Li, Hongliang Ma, Quan Chen, Haiyun Bi, Pengfei Shi, Liang Zhu, Chenyang Cui. Comparison of Different Intercalibration Methods of Brightness Temperatures From FY-3D and AMSR2. IEEE Transactions on Geoscience and Remote Sensing[J]. 2022, 60: https://ieeexplore.ieee.org/document/9779239/.[2] 高硕, 李震, 张平, 陈权, 曾江源, 赵常军, 刘畅. Global Sensitivity Analysis of the MEMLS Model for Retrieving Snow Water Equivalent. IEEE Transactions on Geoscience and Remote Sensing[J]. 2022, 60: 1-15, [3] Chang Liu, Zhen Li, Ping Zhang, Bangsen Tian, Jianmin Zhou, Quan Chen. Variability of the snowline altitude in the eastern Tibetan Plateau from 1995-2016 using Google Earth Engine. Journal of Applied Remote Sensing[J]. 2021, 15(4):&nbsphttps://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-15/issue-4/048505/Variability-of-the-snowline-altitude-in-the-eastern-Tibetan-Plateau/10.1117/1.JRS.15.048505.full.[4] 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, 42(6):&nbsp2131-2154, https://www.webofscience.com/wos/woscc/full-record/WOS:000603913400001.[5] Chen Quan. Comparison of HY-2B Passive Brightness Temperatures with SSMI/S, GMI, AMSR2 and MWRI in Land Surface. IOP Conf. Series: Earth and Environmental Science. 2020, [6] Gao, Shuo, Li, Zhen, Chen, Quan, Zhou, Wu, Lin, Mingsen, Yin, Xiaobin. Inter-Sensor Calibration between HY-2B and AMSR2 Passive Microwave Data in Land Surface and First Result for Snow Water Equivalent Retrieval. SENSORS[J]. 2019, 19(22):&nbsphttps://www.webofscience.com/wos/woscc/full-record/WOS:000503381500201.[7] 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, 12(11):&nbsp4543-4553, [8] 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, 15(7):&nbsp1040-1044, https://www.webofscience.com/wos/woscc/full-record/WOS:000436464300015.[9] Quan Chen, Jiangyuan Zeng, Chenyang Cui, Zhen Li, Kun-Shan Chen, Xiaojing Bai, Jia Xu. Soil Moisture Retrieval From SMAP: A Validation and Error Analysis Study Using Ground-Based Observations Over the Little Washita Watershed. IEEE Transactions on Geoscience and Remote Sensing[J]. 2018, 56(3):&nbsp1394-1408, https://ieeexplore.ieee.org/document/8101554.[10] 陶浩然, 陈权, 李震, 曾江源, 陈晓宁. 近景摄影测量提高裸露地表粗糙度测量精度. 农业工程学报[J]. 2017, 33(15):&nbsp162-167, http://lib.cqvip.com/Qikan/Article/Detail?id=673220926.[11] Yang, Yan, Li, Zhen, Huang, Lei, Tian, Bangsen, Chen, Quan. Extraction of glacier outlines and water-eroded stripes using high-resolution SAR imagery. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2016, 37(5):&nbsp1016-1034, http://www.irgrid.ac.cn/handle/1471x/1182928.[12] Li, Zhen, Tang, Panpan, Zhou, Jianmin, Tian, Bangsen, Chen, Quan, Fu, Sitao. Permafrost environment monitoring on the Qinghai-Tibet Plateau using time series ASAR images. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2015, 8(10):&nbsp840-860, http://www.irgrid.ac.cn/handle/1471x/1047415.[13] Zeng Jiangyuan, Li Zhen, Chen Quan, Bi Haiyun. simplified physically-based algorithm for surface soil moisture retrieval using AMSR-E data. Frontiers of Earth Science[J]. 2014, 8(3):&nbsp427-438, [14] Zeng, Jiangyuan, Li, Zhen, Chen, Quan, Bi, Haiyun. A simplified physically-based algorithm for surface soil moisture retrieval using AMSR-E data. FRONTIERS OF EARTH SCIENCE[J]. 2014, 8(3):&nbsp427-438, https://www.webofscience.com/wos/woscc/full-record/WOS:000338761300011.[15] Xu, Juan, Li, Zhen, Tian, Bangsen, Huang, Lei, Chen, Quan, Fu, Sitao. Polarimetric analysis of multi-temporal RADARSAT-2 SAR images for wheat monitoring and mapping. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2014, 35(10):&nbsp3840-3858, http://ir.ceode.ac.cn/handle/183411/29328.[16] 李震, 邵雨阳, 周建民, 田邦森, 陈权, 张平. 基于MEMLS模型的积雪深度反演方法. 遥感学报[J]. 2013, 17(3):&nbsp657-670, [17] 陈权. 多角度主动微波遥感数据反演土壤水分算法研究. 2008, [18] 陈权. ERS风散射计反演地表参数——一种混合像元方法. 测绘信息与工程. 2006, 31(4):&nbsp45-46, http://lib.cqvip.com/Qikan/Article/Detail?id=22492714.
科研活动
科研项目
（ 1 ）&nbsp国产海洋动力卫星陆表水循环关键参数反演模型与不确定性研究, 主持, 国家级, 2020-01--2023-12（ 2 ）&nbsp星载盐度计海洋信息提取技术, 主持, 国家级, 2016-09--2021-12（ 3 ）&nbsp静止轨道SAR 海洋信息提取技术, 主持, 国家级, 2016-09--2021-12
2013 中国科学院大学，网络信息中心.