主要研究领域：环境遥感建模，农田生态系统模拟、植被生理变量遥感反演等。
职位APPOINTMENT
| 2022.09-至今 | 中国科学院深圳先进技术研究院 | 助理研究员 |
| 2022.09-Present | Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences | Assistant Research Fellow |
教育经历 EDUCATION
| 2019.11-2021.05 | 法国农业与环境科学研究院（INRAE） | 遥感模型同化 | 联合培养博士 |
| 2019.11-2021.05 | National Research Institute for Agriculture,Food and Environment (France) | Model assimilation | Visiting doctor |
| 2017.09-2022.09 | 中国科学院空天信息创新研究院 | 地图学与地理信息系统 | 博士 |
| 2017.09-2022.09 | Aerospace Information Research Institute, Chinese Academy of Sciences | Cartography and Geographical Information System | Doctor |
| 2013.09-2017.06 | 河海大学 | 地理信息科学 | 学士 |
| 2013.09-2017.06 | Hohai University | Geographical Information Science | Bachelor |
项目 PROJRCT
[1] 中华人民共和国科学技术部，国家重点研发计划，Y6A0040010，粮食主产区产量与效率层次差异分布规律及丰产增效潜力，2016-01至2021-12，1400万，参与。
[2] 中国科学院，中国科学院战略先导科技专项（A类），XDA19030402，一带一路极端气候和灾害星地观测，2018-01至2022-12，918万，参与。
[3] 国家自然科学基金委员会，面上基金项目，Y8J0340，遥感作物模型耦合土壤水层水平衡与根系垂直分布模拟干旱对作物产量的影响，2019-01至2022-12，77万，参与。
[4] 海南省科学技术厅，海南省重点研发专项，ZDYF2021SHFZ063，耦合遥感-生态过程模型精确监测海南陆地生态系统碳动态及时空格局，2021-10至2024-10，54万，参与。
论文 PUBLICAITON
[1] Wang, J., Lopez-Lozano, R., Weiss, M., Buis, S., Li, W., Liu, S., Baret, F., Zhang, J., 2022. Crop specific inversion of PROSAIL to retrieve green area index (GAI) from several decametric satellites using a Bayesian framework. Remote Sens. Environ. 278.
[2] Wang, J., Zhang, J., Bai, Y., Zhang, S., Yang, S., Yao, F., 2020. Integrating remote sensing-based process model with environmental zonation scheme to estimate rice yield gap in Northeast China. Field Crops Res. 246, 107682.
[3] 王靖雯，牛振国. 基于潮位校正的盐城滨海潮间带遥感监测及变化分析[J].海洋学报, 2017, 39(5):149-160
[4] Bai, Y., Zhang, S., Zhang, J., Wang, J., Yang, S., Magliulo, V., Vitale, L., Zhao, Y., 2021. Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale. Int. J. Appl. Earth Obs. Geoinf. 100, 102329.
[5] Cao, D., Zhang, J., Han, J., Zhang, T., Yang, S., Wang, J., Ahmed Prodhan, F., Yao, F.,2022. Projected Increases in Global Terrestrial Net Primary Productivity Loss Caused by Drought Under Climate Change. Earth’s Futur. 1–18.
[6] Cao, D., Zhang, J., Xun, L., Yang, S., Wang, J., Yao, F., 2021. Spatiotemporal variations of global terrestrial vegetation climate potential productivity under climate change. Sci. Total Environ. 770, 145320.
[7] Cheng, T., Zhang, J., Zhang, S., Bai, Y., Wang, J., Li, S., Javid, T., Meng, X., Sharma, T.P.P., 2021. Monitoring soil salinization and its spatiotemporal variation at different depths across the Yellow River Delta based on remote sensing data with multi-parameter optimization. Environ. Sci. Pollut. Res. 24269–24285.
[8] Shi, L., Zhang, J., Zhang, D., Wang, J., Meng, X., Liu, Y., 2022. What caused the interdecadal shift in the El Niño – Southern Oscillation ( ENSO ) impact on dust mass concentration over northwestern South Asia ? Atmos. Chem. Phys., 22, 11255–11274.
[9] Wang, X., Zhang, J., Xun, L., Wang, J., Wu, Z., Henchiri, M., Zhang, Shichao, Zhang, Sha, Bai, Y., Yang, S., Li, S., Yu, X., 2022. Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region. Remote Sens. 14.
[10] Xun, L., Zhang, J., Cao, D., Wang, J., Zhang, S., Yao, F., 2021. Mapping cotton cultivated area combining remote sensing with a fused representation-based classification algorithm. Comput. Electron. Agric. 181, 105940.
[11] Yang, S., Zhang, J., Han, J., Wang, J., Zhang, S., Bai, Y., Cao, D., Xun, L., Zheng, M., Chen, H., Xu, C., Rong, Y., 2021. Evaluating global ecosystem water use efficiency response to drought based on multi-model analysis. Sci. Total Environ. 778, 146356.
[12] Yang, S., Zhang, J., Wang, J., Zhang, S., Bai, Y., Shi, S., Cao, D., 2022. Spatiotemporal variations of water productivity for cropland and driving factors over China during 2001–2015. Agric. Water Manag. 262, 107328.
[13] Yang, S., Zhang, J., Zhang, S., Wang, J., Bai, Y., Yao, F., Guo, H., 2020. The potential of remote sensing-based models on global water-use efficiency estimation: An evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data. Agric. For. Meteorol. 287, 107959.
[14] Zeng, R., Yao, F., Zhang, S., Yang, S., Bai, Y., Zhang, J., Wang, J., Wang, X., 2021. Assessing the effects of precipitation and irrigation on winter wheat yield and water productivity in North China Plain. Agric. Water Manag. 256, 107063.
[15] Zheng, M., Zhang, J., Wang, J., Yang, S., Han, J., Hassan, T., 2022. Reconstruction of 0.05° all-sky daily maximum air temperature across Eurasia for 2003–2018 with multi-source satellite data and machine learning models. Atmos. Res. 279, 106398.
[16] 韩倩倩，牛振国，吴孟泉，王靖雯. 基于潮位校正的中国潮间带遥感监测及变化[J].科学通报, 2019, 64:456-473
…
专利PATENT
[1] 一种耦合遥感氮素信息的作物生长与施肥诊断模拟方法，发明专利（CN112763427A）。发明人：张佳华，王靖雯，白雲，姚凤梅
学术会议 CONFERENCE
[1] 日本2019年地球行星科学学术年会，口头报告，2019年5月，日本千叶。
[2] 谷歌地球2019年用户峰会，2019年9月，美国旧金山。
[3] 法国农业科学院2019年科学年会，口头报告，2019年12月，法国阿维尼翁。
[4] 美国地理学会2020年年会，亮点报告，2020年12月，美国旧金山（线上）。
[5] 2021年可持续发展大数据国际论坛，口头报告，2021年9月，北京国家会议中心。
获奖 AWARD AND HONOR
[1] China Scholarship Council (CSC) Scholarship, 2019-2021
[2] 中国科学院大学三好学生，2020年
[3] 河海大学优秀毕业生（校长奖学金），2017年