The personal data
- Post:
- Title:
- Degree: PH.D
- PostCode:
- Tel: 15751868377
- Email: wang.jing.jhao@gmail.com
- Office:
- Address:
Education Experiences
| Institutions | Starting-ending years | Major | Degree（Supervisor） | | Nanjing Unviersity | 2013 - 2018 | Geography (Cartography and Geography Information System) | Ph.D (Prof. Jing M. Chen) | | Wuhan Unviersity | 2011 - 2013 | Photogrammetry and Remote Sensing | Master of Engineering (Prof. Qianqing Qin) | | Nanjing University of Information Science and Technolgoy | 2007 - 2011 | Remote sesning | Bachelor of Science |
Work Experiences
| Affiliation | Starting-ending Years | Position | Research Interests | Research supervisor | | Fujian Normal University | 2020.11 - 2023.03 | postdoctoral fellow | Remte sensing of vegetation traits | Jing M. Chen | | Southern University of Science and Technology | 2018.09 - 2020.09 | postdoctoral fellow | Ocean color remote sensing | Lian Feng |
Publications
Wang, J., Chen, J.M., Qiu, F., Fan, W., Xu, M., & Wang, R. (2024). Simultaneous estimation of leaf directional-hemispherical reflectance and transmittance from multi-angular canopy reflectance. Remote Sensing of Environment, 304, 114025 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). 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 and Remote Sensing, 86(10), 627-641. Wang, J., 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. Wang, J., & 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. 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. 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. 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.
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