基本信息


赵天杰 研究员/博导  

           中国科学院空天信息创新研究院

           水循环遥感研究室 主任


电子邮件：zhaotj@aircas.ac.cn
通信地址：北京市朝阳区大屯路甲20号北
邮政编码：100101

研究领域

微波遥感及其陆地水文应用

招生信息

团队长期招收博士和硕士研究生、客座研究生，招聘特别研究助理（副研究员待遇，岗位聘用/项目聘用）、博士后，欢迎具有遥感、测绘、水文学、生态学、冰川冻土等相关背景的同仁联系！
  • 招生专业

        070503-地图学与地理信息系统

  • 招生方向

        微波遥感，陆地水循环遥感


工作经历与教育背景

  • 工作经历

  1. 2023-03~现在，中国科学院空天信息创新研究院，研究员

  2. 2020-03~2023-02，中国科学院空天信息创新研究院，副研究员

  3. 2016-03~2020-02，中国科学院遥感与数字地球研究所，副研究员

  4. 2012-09~2016-02，中国科学院遥感与数字地球研究所，助理研究员

  5. 2010-02~2012-08，美国农业部水文遥感实验室，访问学者

  • 社会兼职

  1. 《GIScience & Remote Sensing》，编委

  2. 《Frontiers in Environmental Science》，副编辑

  3. 《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》，副编辑

  4. 《IEEE Geoscience & Remote Sensing Society (#90406552)》，高级会员

  5. 《IEEE/GRSS International Geoscience and Remote Sensing Symposium》，科学委员会委员

  6. 《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》，Special Issue of “Remote Sensing of Soil Moisture”，客座编辑

  7. 《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》，Special Issue of “Remote Sensing Across Scales for Watershed Science”，客座编辑

  8. 《International Journal of Digital Earth》，Special Issue of “Remote Sensing Experiments for Earth System Science”，客座编辑

  9. 《遥感学报》，专刊“碳、水循环和能量平衡遥感综合试验”，客座编辑

  • 教育背景

  1. 2007-09~2012.07，北京师范大学，理学博士

  2. 2003.09~2007.07，北京师范大学，理学学士

专利与奖励

  • 奖励信息

  1. 2023，李小文遥感科学青年奖

  2. 2020，新一代风云气象卫星科学算法创新大赛优胜奖，部委级

  3. 2018，国际电磁学研究进展大会 PIERS 青年科学家奖

  4. 2014，国际无线电科学联盟 URSI 青年科学家奖

  5. 2012，周廷儒优秀研究生奖, 研究所（学校）

  6. 2011， 教育部博士研究生学术新人奖，部委级

  • 专利成果

  1. Zhao, Tianjie. Method And Device For Soil Moisture Retrieval Using Multi-channel Collaborative Algorithm And Passive Microwave Radiometry. CN: US20210337721(A1), 2021-11-04.

  2. 赵天杰. 被动微波多通道协同的土壤水分反演方法及装置. CN: CN111610201B, 2021-08-10.

  3. 赵天杰, 彭志晴, 施建成. 二维综合孔径微波辐射计亮温数据的优化处理方法. CN: CN111811660B, 2021-06-04.

  4. 赵天杰, 张子谦. 土壤冻融状态确定方法、装置和电子设备. CN: CN111337531B, 2021-04-27.

  5. 赵天杰, 姬大彬, 崔倩, 王天星, 李睿, 张子谦, 徐红新. 土壤墒情测量方法及装置. CN: CN110376355A, 2019-10-25.

出版信息

  • 2024

  1. Peng Zhiqing(博士研究生), Zhao Tianjie*, Shi Jiancheng, Hu Lu, Rodríguez-Fernández Nemesio J., Wigneron Jean-Pierre, Jackson Thomas J., Walker Jeffrey P., Cosh Michael H., Yang Kun, Lu Hui, Bai Yu, Yao Panpan, Zheng Jingyao, and Wei Zushuai. 2024. First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry. Remote Sensing of Environment 302:113970. DOI: https://doi.org/10.1016/j.rse.2023.113970.

  2. Zheng Jingyao(博士研究生), Zhao Tianjie*, Lü Haishen, Zou Defu, Rodriguez-Fernandez Nemesio, Mialon Arnaud, Richaume Philippe, Xiao Jianshe, Ma Jun, Fan Lei, Song Peilin, Zhu Yonghua, Li Rui, Yao Panpan, Yang Qingqing, Du Shaojie, Wang Zhen, Peng Zhiqing, Xiong Yuyang, Xing Zanpin, Zhao Lin, Kerr Yann, and Shi Jiancheng. 2024. Use of a new Tibetan Plateau network for permafrost to characterize satellite-based products errors: An application to soil moisture and freeze/thaw. Remote Sensing of Environment 300:113899. DOI: https://doi.org/10.1016/j.rse.2023.113899.

  3. Du Shaojie(硕士研究生), Duan Pan(博士研究生), Zhao Tianjie*, Wang Zhen, Niu Shengda, Ma Chunfeng, Zou Defu, Yao Panpan, Guo Peng, Fan Dong, Gao Qi, Zheng Jingyao, Peng Zhiqing, Lü Haishen, and Shi Jiancheng. 2024. An improved change detection method for high-resolution soil moisture mapping in permafrost regions. GIScience & Remote Sensing 61(1):2310898. DOI: https://doi.org/10.1080/15481603.2024.2310898.

  • 2023

  1. Song Peilin*, Zhao Tianjie*, Zhang Yongqiang, and He Qingying. 2023. Conversion of satellite passive microwave signals to land surface “skin” temperature for extremely dry deserts. Remote Sensing of Environment 299:113857. DOI: https://doi.org/10.1016/j.rse.2023.113857. https://doi.org/10.1016/j.rse.2023.113857.

  2. Hu Lu(博士研究生), Zhao Tianjie*, Ju Weimin*, Peng Zhiqing, Shi Jiancheng, Rodríguez-Fernández Nemesio J., Wigneron Jean-Pierre, Cosh Michael H., Yang Kun, Lu Hui, and Yao Panpan. 2023. A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm. Remote Sensing of Environment 292:113595. DOI: https://doi.org/10.1016/j.rse.2023.113595.

  3. Wang Zhen(博士研究生), Zhao Tianjie*, Shi Jiancheng, Wang Hongquan, Ji Dabin, Yao Panpan, Zheng Jingyao, Zhao Xuesheng, and Xu Xia. 2023. 1-km soil moisture retrieval using multi-temporal dual-channel SAR data from Sentinel-1 A/B satellites in a semi-arid watershed. Remote Sensing of Environment 284:113334. DOI: https://doi.org/10.1016/j.rse.2022.113334.

  4. Zhang Jiaqi(硕士研究生), Zhao Tianjie*, Tan Shurun, Rodriguez-Fernandez Nemesio, Xue Huazhu, Yang Na, Kerr Yann, and Shi Jiancheng. 2023. Characterizing the channel dependence of vegetation effects on microwave emissions from soils. Geo-Spatial Information Science 00(00):1–17. DOI: https://doi.org/10.1080/10095020.2023.2275616.

  5. Peng Zhiqing(博士研究生), Zhao Tianjie*, Shi Jiancheng*, Kerr Yann H., Rodríguez-Fernández Nemesio J., Yao Panpan, and Che Tao. 2023. An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010). Scientific Data 10(1):599. DOI: https://doi.org/10.1038/s41597-023-02499-z.

  6. Bai Yu(博士研究生), Jia Li, Zhao Tianjie*, Shi Jiancheng, Peng Zhiqing, Du Shaojie, Zheng Jingyao, Wang Zhen, and Fan Dong. 2023. A soil moisture retrieval method for reducing topographic effect: a case study on the Qinghai–Tibetan Plateau with SMOS data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16:4276–86. DOI: https://doi.org/10.1109/JSTARS.2023.3264572.

  7. Yao Panpan, Lu Hui*, Zhao Tianjie*, Wu Shengli, Peng Zhiqing, Cosh Michael H., Jia Li, Yang Kun, Zhang Peng, and Shi Jiancheng. 2023. A global daily soil moisture dataset derived from Chinese FengYun Microwave Radiation Imager (MWRI)(2010–2019). Scientific Data 10(1):133. DOI: https://doi.org/10.1038/s41597-023-02007-3.

  • 2022

  1. Bai Yu(博士研究生), Zhao Tianjie*, Jia Li*, Cosh Michael H., Shi Jiancheng, Peng Zhiqing, Li Xiaojun, and Wigneron Jean-Pierre. 2022. A multi-temporal and multi-angular approach for systematically retrieving soil moisture and vegetation optical depth from SMOS data. Remote Sensing of Environment 280:113190. DOI: https://doi.org/10.1016/j.rse.2022.113190.

  2. Zheng Jingyao(博士研究生), Zhao Tianjie*, Lü Haishen, Shi Jiancheng, Cosh Michael H., Ji Dabin, Jiang Lingmei, Cui Qian, Lu Hui, Yang Kun, Wigneron Jean-Pierre, Li Xiaojun, Zhu Yonghua, Hu Lu, Peng Zhiqing, Zeng Yelong, Wang Xiaoyi, and Kang Chuen Siang. 2022. Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China. Remote Sensing of Environment 271:112891. DOI: https://doi.org/10.1016/j.rse.2022.112891.

  3. Yu Pei(硕士研究生), Zhao Tianjie*, Shi Jiancheng, Ran Youhua, Jia Li, Ji Dabin, and Xue Huazhu. 2022. Global spatiotemporally continuous MODIS land surface temperature dataset. Scientific Data 9(1):143. DOI: https://doi.org/10.1038/s41597-022-01214-8.

  4. Wu Shuyang(硕士研究生), Zhao Tianjie*, Pan Jinmei, Xue Huazhu, Zhao Lin, and Shi Jiancheng. 2022. Improvement in modeling soil dielectric properties during freeze-thaw transitions. IEEE Geoscience and Remote Sensing Letters 19:1–5. DOI: https://doi.org/10.1109/LGRS.2022.3154291.

  5. Lu Hanyu., He Qinye, Zhao Tianjie*, Yao Panpan, Peng Zhiqing, Lu Tianjian, and Lü Haishen. 2022. An intercomparison study of algorithms for SMAP brightness temperature resolution enhancement with or without information from AMSR2. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15:2058–69. DOI: https://doi.org/10.1109/JSTARS.2022.3152506.

  6. Fan Dong(博士研究生), Zhao Tianjie*, Jiang Xiaoguang, Xue Huazhu, Moukomla Sitthisak, Kuntiyawichai Kittiwet, and Shi Jiancheng. 2022. Soil moisture retrieval from Sentinel-1 time-series data over croplands of northeastern Thailand. IEEE Geoscience and Remote Sensing Letters 19:1–5. DOI: https://doi.org/10.1109/LGRS.2021.3065868.

  • 2021

  1. Zhao Tianjie, Shi Jiancheng*, Entekhabi Dara, Jackson Thomas J., Hu Lu, Peng Zhiqing, Yao Panpan, Li Shangnan, and Kang Chuen Siang. 2021. Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm. Remote Sensing of Environment 257. DOI: https://doi.org/10.1016/j.rse.2021.112321.

  2. Kang Chuen Siang(博士后), Zhao Tianjie*, Shi Jiancheng, Cosh Michael H., Chen Yingying, Starks Patrick J., Collins Chandra Holifield, Wu Shengli, Sun Ruijing, and Zheng Jingyao. 2021. Global soil moisture retrievals from the Chinese FY-3D microwave radiation imager. IEEE Transactions on Geoscience and Remote Sensing 59(5):4018–32. DOI: https://doi.org/10.1109/TGRS.2020.3019408.

  3. Zhao Tianjie*, Cosh Michael H., Roy Alexandre, Mu Xihan, Qiu Yubao, and Shi Jiancheng. 2021. Remote sensing experiments for earth system science. International Journal of Digital Earth 14(10):1237–42. DOI: https://doi.org/10.1080/17538947.2021.1977473.

  4. Guo Peng, Zhao Tianjie*, Shi Jiancheng, Xu Hongxin, Li Xiuwei, and Niu Shengda. 2021. Assessing the active-passive approach at variant incidence angles for microwave brightness temperature downscaling. International Journal of Digital Earth 14(10):1273–93. DOI: https://doi.org/10.1080/17538947.2021.1907461.

  5. Yang Qingqing(硕士研究生), Zhao Tianjie*, Shi Jiancheng*, Peng Zhiqing, and Ye Chuanyong. 2021. A simulation-based approach for removing the effect of water contamination on SMAP soil moisture retrieval over the Qinghai-Tibet Plateau. Remote Sensing Letters 12(8):757–67. DOI: https://doi.org/10.1080/2150704X.2021.1936266.

  6. Wang Zhen(博士研究生), Zhao Tianjie*, Qiu Jianxiu, Zhao Xuesheng, Li Rui, and Wang Shu. 2021. Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands. GIScience & Remote Sensing 58(1):48–67. DOI: https://doi.org/10.1080/15481603.2020.1857123.

  • 2020

  1. Zhao Tianjie*, Hu Lu*, Shi Jiancheng, Lü Haishen, Li Shangnan, Fan Dong, Wang Pingkai, Geng Deyuan, Kang Chuen Siang, and Zhang Ziqian. 2020. Soil moisture retrievals using L-band radiometry from variable angular ground-based and airborne observations. Remote Sensing of Environment 248:111958. DOI: https://doi.org/10.1016/j.rse.2020.111958.

  2. Zhao Tianjie, Shi Jiancheng*, Lv Liqing, Xu Hongxin, Chen Deqing, Cui Qian, Jackson Thomas J., Yan Guangjian, Jia Li, Chen Liangfu, Zhao Kai, Zheng Xingming, Zhao Limin, Zheng Chaolei, Ji Dabin, Xiong Chuan, Wang Tianxing, Li Rui, Pan Jinmei, Wen Jianguang, Yu Chao, Zheng Yaomin, Jiang Lingmei, Chai Linna, Lu Hui, Yao Panpan, Ma Jianwei, Lv Haishen, Wu Jianjun, Zhao Wei, Yang Na, Guo Peng, Li Yuxia, Hu Lu, Geng Deyuan, and Zhang Ziqian. 2020. Soil moisture experiment in the Luan River supporting new satellite mission opportunities. Remote Sensing of Environment 240:111680. DOI: https://doi.org/10.1016/j.rse.2020.111680.

  • 2019

  1. Hu Tongxi(硕士研究生), Zhao Tianjie*, Zhao Kaiguang, and Shi Jiancheng. 2019. A continuous global record of near-surface soil freeze/thaw status from AMSR-E and AMSR2 data. International Journal of Remote Sensing 40(18):6993–7016. DOI: https://doi.org/10.1080/01431161.2019.1597307.

  2. Wang Pingkai(硕士研究生), Zhao Tianjie*, Shi Jiancheng*, Hu Tongxi, Roy Alexandre, Qiu Yubao, and Lu Hui. 2019. Parameterization of the freeze/thaw discriminant function algorithm using dense in-situ observation network data. International Journal of Digital Earth 12(8):980–94. DOI: https://doi.org/10.1080/17538947.2018.1452300.

  • 2017

  1. Zhao Tianjie*, Shi Jiancheng*, Hu Tongxi, Zhao Lin, Zou Defu, Wang Tianxing, Ji Dabin, Li Rui, and Wang Pingkai. 2017. Estimation of high-resolution near-surface freeze/thaw state by the integration of microwave and thermal infrared remote sensing data on the Tibetan Plateau. Earth and Space Science 4(8):472–84. DOI: https://doi.org/10.1002/2017EA000277.

  2. Peng Bin*(博士研究生), Zhao Tianjie*, Shi Jiancheng, Lu Hui, Mialon Arnaud, Kerr Yann H., Liang Xu, and Guan Kaiyu. 2017. Reappraisal of the roughness effect parameterization schemes for L-band radiometry over bare soil. Remote Sensing of Environment 199:63–77. DOI: https://doi.org/10.1016/j.rse.2017.07.006.

  • 2015

  1. Li Dongyang(博士研究生), Zhao Tianjie*, Shi Jiancheng, Bindlish Rajat, Jackson Thomas. J, Peng Bin, An Meng, and Han Bo. 2015. First evaluation of aquarius soil moisture products using in situ observations and GLDAS model simulations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8(12):5511–25. DOI: https://doi.org/10.1109/JSTARS.2015.2452955.

  2. Zhao Tianjie*, Shi Jiancheng, Bindlish Rajat, Jackson Thomas, Cosh Michael, Jiang Lingmei, Zhang Zhongjun, and Lan Huimin. 2015. Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval. Physics and Chemistry of the Earth, Parts A/B/C 83–84:65–74. DOI: https://doi.org/10.1016/j.pce.2015.04.001.

  3. Zhao Tianjie*, Shi Jiancheng, Bindlish Rajat, Jackson Thomas. J., Kerr Yann. H., Cosh Michael. H., Cui Qian, Li Yunqing, Xiong Chuan, and Che Tao. 2015. Refinement of SMOS multiangular brightness temperature toward soil moisture retrieval and its analysis over reference targets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8(2):589–603. DOI: https://doi.org/10.1109/JSTARS.2014.2336664.

  • 2014

  1. Zhao Tianjie*, Shi Jiancheng, Lin Mingsen, Yin Xiaojun, Liu Yong, Lan Huimin, and Xiong Chuan. 2014. Potential soil moisture product from the Chinese HY-2 scanning microwave radiometer and its initial assessment. Journal of Applied Remote Sensing 8(1):83560. DOI: https://doi.org/10.1117/1.JRS.8.083560.

  • 2011

  1. Zhao Tianjie, Zhang Lixin*, Jiang Lingmei, Zhao Shaojie, Chai Linna, and Jin Rui. 2011. A new soil freeze/thaw discriminant algorithm using AMSR-E passive microwave imagery. Hydrological Processes 25(11):1704–16. DOI: https://doi.org/10.1002/hyp.7930.

  2. Zhao Tianjie*, Zhang Lixin, Shi Jiancheng, and Jiang Lingmei. 2011. A physically based statistical methodology for surface soil moisture retrieval in the Tibet Plateau using microwave vegetation indices. Journal of Geophysical Research: Atmospheres 116(D8). DOI: https://doi.org/10.1029/2010JD015229.



科研项目

  • 2021-01~2025-12，陆地水循环关键参量时空多尺度智慧化遥感，参与，国家任务

  • ​2019-11~2022-10，第二次青藏高原综合科学考察研究“亚洲水塔区水动态监测与模拟”，参与，国家任务

  • 2018-01~2023-12，泛第三极环境变化与绿色丝绸之路建设“亚洲水塔区水资源研究”，参与，中国科学院计划

  • 2017-01~2020-12，基于L波段主被动微波遥感观测的地表冻融状态监测算法研究，负责人，国家任务

  • 2017-01~2019-12，陆地水资源卫星“多源数据融合与反演技术研究”，负责人，国家任务

  • 2016-01~2019-12，中国科学院青年创新促进会, 负责人, 中国科学院计划

  • 2016-12~2018-12，遥感在泰国东北部水资源管理中的应用, 负责人，国家任务

  • 2014-01~2016-12，基于微波植被指数的L波段多角度数据反演土壤水分算法研究，负责人，国家任务

指导学生

  • 现指导学生

  1. 戴文滔，硕士研究生，085700-资源与环境

  2. 冯得封，硕士研究生，085700-资源与环境