王军

信息来源:碳中和研究院发布时间:2021-12-16浏览次数:10

------------------------------------------------------------------------------------------------------

基本信息 Basic information

姓    名:王军

职    称:博士后

硕导/博导:

最高学位:博士

行政职务:

其它兼职:

单    位:地理科学学院 地理信息科学系

------------------------------------------------------------------------------------------------------

联系方式 Contact

通讯地址:福州市仓山区上三路8号福师大仓山校区

邮政编码:350007

办公电话:0591-83465214    

电子邮箱:wang.jing.jhao@gmail.com

------------------------------------------------------------------------------------------------------

研究方向 Research Interests

      植被定量遥感,水色遥感

------------------------------------------------------------------------------------------------------

个人履历 Resume

教  育:

  1. 2013.9-2018.6,南京大学,地理与海洋科学学院,地理学,理学博士

  2. 2011.9-2013.6,武汉大学,测绘遥感信息工程国家重点实验室,摄影测量与遥感,工学硕士

  3. 2007.9-2011.6,南京信息工程大学,遥感学院,遥感科学与技术专业,理学学士

工  作:

  • 2018.9-2020.9,南方科技大学,环境科学与工程学院,博士后

  • 2020.11至今,福建师范大学地理科学学院,博士后

-------------------------------------------------------------------------------------------------------

个人简介  Brief

王军,男,籍贯江苏溧阳,博士后,主要从事植物叶片光谱测量新型方法研究,除此之外,还从事一二类水体的水色参数反演研究。

-------------------------------------------------------------------------------------------------------

代表性论文 Selected Publications

    1. Wang, J., Tong, Y., Feng, L., Zhao, D., Zheng, C., & Tang, J. (2021). Satellite‐Observed Decreases in Water Turbidity in the Pearl River Estuary: Potential Linkage With Sea‐Level Rise. Journal of Geophysical Research: Oceans, 126(4). https://doi.org/10.1029/2020jc016842

    2. Wang, J., Chen, J. M., Feng, L., Xu, J., & Zhang, F. (2020). Redefining the Directional-Hemispherical Reflectance and Transmittance of Needle- Shaped Leaves to Address Issues in Their Existing Measurement Methods. Photogrammetric Engineering & Remote Sensing, 86(10), 627-641.

    3. Wang, B., Chen, J., Ju, W., Qiu, F., Zhang, Q., Fang, M., & Chen, F. (2017). Limited Effects of Water Absorption on Reducing the Accuracy of Leaf Nitrogen Estimation. Remote Sensing, 9(3), 291. https://doi.org/10.3390/rs9030291

    4. Wang, B., & Ju, W. (2017). Limitations and Improvements of the Leaf Optical Properties Model Leaf Incorporating Biochemistry Exhibiting Reflectance and Transmittance Yields (LIBERTY). Remote Sensing, 9(5), 431. https://doi.org/10.3390/rs9050431

    5. Qiu, F., Chen, J. M., Ju, W., Wang, J., Zhang, Q., & Fang, M. (2018). Improving the PROSPECT Model to Consider Anisotropic Scattering of Leaf Internal Materials and Its Use for Retrieving Leaf Biomass in Fresh Leaves. IEEE Transactions on Geoscience and Remote Sensing, 56(6), 3119-3136.

    6. Fang, M., Ju, W., Zhan, W., Cheng, T., Qiu, F., & Wang, J. (2017). A new spectral similarity water index for the estimation of leaf water content from hyperspectral data of leaves. Remote sensing of environment, 196(Supplement C), 13-27. https://doi.org/10.1016/j.rse.2017.04.029

    7. Zhang, Q., Ju, W., Chen, J., Wang, H., Yang, F., Fan, W., et al. (2015). Ability of the Photochemical Reflectance Index to Track Light Use Efficiency for a Sub-Tropical Planted Coniferous Forest. Remote Sensing, 7(12), 15860. https://doi.org/10.3390/rs71215860