基本信息
姓 名:王荣
职 称:副研究员
电子邮箱:wangr@fjnu.edu.cn
研究方向
植被遥感;陆地生态系统碳水循环;植物叶片性状和生理生态
个人履历
教 育:
2017,多伦多大学地理与规划系,自然地理学,博士
2008,武汉大学遥感信息工程学院,地理信息科学,硕士
2006,武汉大学遥感信息工程学院,遥感科学与技术,学士
工 作:
2022-至今 福建师范大学地理系,副研究员
2020-2021 福建师范大学地理系,讲师
2018-2020 多伦多大学地理与规划系,博士后
个人简介
主要研究方向:
植被遥感:植被结构和辐射传输模型;植被结构参数和生理参数的遥感反演;可见光和微波遥感的融合;陆地生态系统碳、水循环:涡度相关测量分析;陆地碳水通量模拟;植物叶片性状和生理生态
科研项目
国家自然科学面上基金,基于叶片叶绿素的亚热带优势树种最大羧化速率机理模型研究,42471128,2025-2028,主持
福建省自然科学面上基金,山地地形对总初级生产力和蒸散发模拟的影响研究,2024J469,2024.11-2027.11,主持
国家自然科学青年基金,基于多植被指数模型的常绿针叶林叶面积指数和叶绿素含量协同反演研究,42101368,2022-2024,结题
国家重点研发计划课题子课题,山地生态系统全球变化关键参数近地面立体观测实验体系研发,2020YFA0608701,2020-2025,课题骨干
福建省青年基金,基于Landsat数据的森林扰动后碳汇恢复力评估与分析:以福建龙岩为例,2021J05041,2021-2024,课题骨干
杂志审稿
Nature Ecology & Evolution
Remote Sensing of Environment
Agricultural and Forest Meteorology
ISPRS Journal of Photogrammetry and Remote Sensing
Internal Journal of Applied Earth Observation and Geoinformation
Computers and Electronics in Agriculture
Science of the Total Environment
Journal of Forestry Research
Remote Sensing
个人主页
http://geo.fjnu.edu.cn/cf/35/c5054a315189/page.htm
https://www.researchgate.net/profile/Rong-Wang-45
代表性论文
Li, B., Wang, R.*, & Chen, J.M. (2024). Responses of phenology to preseason drought and soil temperature for different land cover types on the Mongolian Plateau. Science of the Total Environment, 171895: https://doi.org/10.1016/j.scitotenv.2024.171895
Wang, R., Chen, J.M., He, L., Liu, J., Shang, J., Liu, J., & Dong, T. (2023). A novel semi-empirical model for crop leaf area index retrieval using SAR co- and cross-polarizations. Remote Sensing of Environment, 296, 113727: https://doi.org/10.1016/j.rse.2023.113727
Guo, X., Wang, R.*, Chen, J.M., Cheng, Z., Zeng, H., Miao, G., Huang, Z., Guo, Z., Cao, J., & Niu, J. (2023). Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data. Geo-spatial Information Science, 1-14: 10.1080/10095020.2023.2251540
Wang, R., J. M. Chen, X. Luo, A. Black, & A. Arain (2019). Seasonality of leaf area index and photosynthetic capacity for better estimation of carbon and water fluxes in evergreen conifer forests. Agricultural and Forest Meteorology, 279, 107708. doi: https://doi.org/10.1016/j.agrformet.2019.107708.
Wang, R., J. M. Chen, Z. Liu, & A. Arain (2017). Evaluation of seasonal variations of remotely sensed leaf area index over five evergreen coniferous forests. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 187-201, doi: http://dx.doi.org/10.1016/j.isprsjprs.2017.05.017.
Wang, R., J. M. Chen, G. Pavlic, & A. Arain (2016). Improving winter leaf area index estimation in coniferous forests and its significance in estimating the land surface albedo. ISPRS Journal of Photogrammetry and Remote Sensing, 119, 32-48, doi: http://dx.doi.org/10.1016/j.isprsjprs.2016.05.003.