王荣副研究员

发布者:孙杰发布时间:2022-03-05浏览次数:4202

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

基本信息 Basic Information

姓    名:王荣

职    称:副研究员(硕士生导师)

最高学位:博士

单    位:福建师范大学地理科学学院

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

联系方式 Contact

通讯地址:福建师范大学旗山校区地理科学学院16号楼1205C

邮政编码:350117

电子邮箱:wangr@fjnu.edu.cn

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

研究方向 Research Interests

植被遥感;陆地生态系统碳水循环;植物叶片形状和生理生态

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

个人履历 Resume

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 Brief

主要研究方向

  1. 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;

  2. 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;

  3. 植物叶片性状和生理生态

更多详见Google ScholarResearchGate个人研究主页

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

教学工作 Teaching Work

  1. 地图学》本科一年级,主讲,福建师范大学地理科学学院

  2. 《遥感概论》本科二年级,主讲,福建师范大学地理科学学院

  3. 《植被遥感》研究生双语课,主讲,福建师范大学地理科学学院

  4. 水文学概论》本科生课程主讲,多伦多大学地理与规划系

  5. 《气候学》本科生课程,助教,多伦多大学地理与规划系

  6. 《地理信息系统》本科和研究生系列课程,助教,多伦多大学地理与规划系

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

代表性论文 Selected Publications

  1.  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

  2. 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

  3.  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

  4. 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.

  5. 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.

  6. 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.

  7. Dong, T., Liu, J., Liu, J., He, L., Wang, R., Qian, B., McNairn, H., Powers, J., Shi, Y., Chen, J. M., and Shang, J. (2023). Assessing the consistency of crop leaf area index derived from seasonal Sentinel-2 and Landsat 8 imagery over Manitoba, Canada, Agricultural and Forest Meteorology, 332, 109357, https://doi.org/10.1016/j.agrformet.2023.109357

  8. Cheng, Z., Chen, J.M., Guo, Z., Miao, G., Zeng, H., Wang, R., Huang, Z., & Wang, Y. (2023). Improving UAV-based LAI estimation for forests over complex terrain by reducing topographic effects on multispectral reflectance. IEEE Transactions on Geoscience and Remote Sensing, 1-1: 10.1109/TGRS.2023.3337177

  9. Liu, Y., Chen, J. M., He, L., Wang, R., Smith, N. G., Keenan, T. F., Rogers, C., Li, W., and Leng, J. (2023). Global photosynthetic capacity of C3 biomes retrieved from solar-induced chlorophyll fluorescence and leaf chlorophyll content, Remote Sensing of Environment, 287, 113457, https://doi.org/10.1016/j.rse.2023.113457

  10.  Xu, M., Liu, R., Chen, J.M., Liu, Y., Wolanin, A., Croft, H., He, L., Shang, R., Ju, W., Zhang, Y., He, Y., & Wang, R. (2022). A 21-Year Time Series of Global Leaf Chlorophyll Content Maps From MODIS Imagery. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-13: 10.1109/TGRS.2022.3204185

  11. Chen, J.M., Wang, R., Liu, Y., He, L., Croft, H., Luo, X., Wang, H., Smith, N.G., Keenan, T.F., Prentice, I.C., Zhang, Y., Ju, W., & Dong, N. (2022). Global Datasets of Leaf Photosynthetic Capacity for Ecological and Earth System Research. Earth Syst. Sci. Data Discuss., 2022, 1-26, 10.5194/essd-2022-136

  12.  Liu, Y., Chen, J.M., He, L., Zhang, Z., Wang, R., Rogers, C., Fan, W., de Oliveira, G., & Xie, X. (2022). Non-linearity between gross primary productivity and far-red solar-induced chlorophyll fluorescence emitted from canopies of major biomes. Remote Sensing of Environment, 271, 112896: https://doi.org/10.1016/j.rse.2022.112896

  13. Luo, X., Keenan, T.F., Chen, J.M., Croft, H., Colin Prentice, I., Smith, N.G., Walker, A.P., Wang, H., Wang, R., Xu, C., & Zhang, Y. (2021). Global variation in the fraction of leaf nitrogen allocated to photosynthesis. Nature Communications, 12, 4866, 10.1038/s41467-021-25163-9

  14. Dong, T., J. Liu, B. Qian, L. He, J. Liu, R. Wang, Q. Jing, C. Champagne, H. McNairn, J. Powers, Y. Shi, J. M. Chen, & J. Shang (2020). Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data. ISPRS Journal of Photogrammetry and Remote Sensing, 168, 236-250, https://doi.org/10.1016/j.isprsjprs.2020.08.003.

  15. Croft, H., J. M. Chen, R. Wang, G. Mo, S. Luo, X. Luo, L. He, A. Gonsamo, J. Arabian, Y. Zhang, A. Simic, T. L. Noland, Y., L. He, Z. Homolovský, Q. Yi, J. Beringer, R. Amiri, L. Hutley, P. Arellano, C. Stahl, D. Bonal (2020). The global distribution of leaf chlorophyll content. Remote Sensing of Environment, 236, 111479. doi: https://doi.org/10.1016/j.rse.2019.111479

  16. He, L., J. M. Chen, J. Liu, T. Zheng, R. Wang, J. Joiner, S. Chou, B. Chen, Y. Liu, & R. Liu (2019). Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements. Remote Sensing of Environment, 232, 111344. doi: https://doi.org/10.1016/j.rse.2019.111344.

  17. Canisius, Francis, S. Wang, H. Croft, S. G. Leblanc, H. A. J. Russell, J. M. Chen, R. Wang (2019). A UAV-Based Sensor System for Measuring Land Surface Albedo: Tested over a Boreal Peatland Ecosystem. Drones, 3(1), 27, doi: https://doi.org/10.3390/drones3010027.

  18. He, L., J. M. Chen, A. Gonsamo, X. Luo, R. Wang, Y. Liu, & R. Liu (2018). Changes in the shadow: The Shifting Role of Shaded Leaves in Global Carbon and Water Cycles Under Climate Change. Geophysical Research Letters, 45, 5052-5061, doi: https://doi.org/10.1029/2018GL077560.

  19. He, L., J. Liu, J. M. Chen, H. Croft, R. Wang, M. Sprintsin, T. Zheng, Y. Ryu, J. Pisek, A. Gonsamo, F. Deng, & Y. Zhang (2016). Inter- and intra-annual variations of clumping index derived from the MODIS BRDF product. International Journal of Applied Earth Observation and Geoinformation, 44, 53-60, doi: http://dx.doi.org/10.1016/j.jag.2015.07.007.

  20. He, L., J. M. Chen, J. Liu, G. Mo, S. Bélair, T. Zheng, R. Wang, B. Chen, H. Croft, M. A. Arain, A.G. Barr (2014). Optimization of water uptake and photosynthetic parameters in an ecosystem model using tower flux data. Ecological Modelling, 294, 94-104, doi: http://dx.doi.org/10.1016/j.ecolmodel.2014.09.019.

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

科研项目 Research Projects

  1. 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,2025-202848万,主持

  2. 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,2022-202430万,主持

  3. 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,2020-2025222万,课题骨干

  4. 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,2021-20248万,课题骨干

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

培养 Supervision

指导/协助指导硕士研究生2名,博士研究生2名。

欢迎对相关研究方向感兴趣的本科生及硕、博研究生联系。

数据更新至20249