商荣副教授

发布者:王华发布时间:2021-09-02浏览次数:9516

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

基本信息 Basic information

姓    名:商荣

职    称:副教授

硕导/博导:硕导

招生专业:地图学与地理信息系统、自然灾害学、林业

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:福建省福州市大学城科技路1号福建师范大学旗山校区

邮政编码:350117

办公电话:0591-83465214    

电子邮箱:shangrong@fjnu.edu.cn

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

研究方向 Research Interests

植被遥感与碳中和、遥感大数据、地表变化动态监测

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

个人履历 Resume

教  育:

2013.09-2018.06 中国科学院大学、地理科学与资源研究所、理学博士

2009.09-2013.06 武汉大学、资源与环境科学学院、理学学士

工  作:

2021.07至今 福建师范大学、地理科学学院、副教授

2020.12-2021.06 福建师范大学、地理科学学院、讲师

2019.01-2020.08 美国康涅狄格大学、资源与环境系、博士后

2018.06-2019.01 美国德州理工大学、地理系、博士后

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

个人简介  Brief

商荣,福建师范大学地理科学学院副教授,主要从事植被遥感与碳中和、遥感大数据、地表变化动态监测等方面的研究,在The InnovationRSE3篇)、ESSDAFMJAG(高被引)等期刊发表论文30多篇,主持了国家自然科学基金面上项目、青年项目、联合项目课题、福建省自然科学基金等项目。

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

代表性论文 Selected Publications

第一或通讯作者(*表示通讯):

Shang, R., Chen, J.M., Xu, M., et. al. (2023). China’s current forest age structure will lead to weakened carbon sinks in the near future. The Innovation, 4(6), 100515.

Shang, R.*, Zhu, Z., Zhang, J., et. al. (2022). Near-real-time monitoring of land disturbance with harmonized Landsats 7–8 and Sentinel-2 data. Remote Sensing of Environment. 278, 113073.

Shang, R.*, Zhu, Z. (2019). Harmonizing Landsat 8 and Sentinel-2: A Time-series-based Reflectance Adjustment Approach. Remote Sensing of Environment, 235, 111439.

Shang, R., Liu, R., Xu, M., et. al. (2017). The relationship between the threshold-based and the inflexion-based approaches in extraction of land surface phenology. Remote Sensing of Environment, 199, 167-170.

Shang, R., Lin, X., Chen, J.M., et. al. (2025). China's annual forest age dataset at 30 m spatial resolution from 1986 to 2022. Earth System Science Data, 1-21.

Lin, X., Shang, R.*, Chen, J.M., et. al. (2023). High-resolution forest age mapping based on forest height maps derived from GEDI and ICESat-2 space-borne lidar data. Agricultural and Forest Meteorology, 339, 109592.

Li, W., Niu, Z., Shang, R.*, et. al. (2020). High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data. International Journal of Applied Earth Observations and Geoinformation, 92,102163.  

Zhang, J., Shang, R.*, Rittenhouse, C., et. al. (2021). Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series. Science of Remote Sensing. 4, 100023.

Li, P., Shang, R.*, Chen, J.M., et al. (2024). Evaluation of five models for constructing forest NPP-age relationships in China based on 3121 field survey samples. Biogeosciences, 21, 625-639.

Liang, L., Shang, R.*, Chen, J. M., et. al. (2023). Improved estimation of the underestimated GEDI footprint LAI in dense forests. Geo-spatial Information Science, 1-16.

合作者(部分):

Yan Y, …, Shang, R, …, et al. (2025). Plant traits shape global spatiotemporal variations in photosynthetic efficiency. Nature Plants, 1-11.

Li X, Zhang H, Shang R, et al. (2025). It is time to optimize forest management policy for both carbon sinks and wood harvest in China. National Science Review, 12, nwae464.

Liu, R., Shang, R., Liu, Y., et. al. (2017). Global evaluation of gap-filling approaches for seasonal NDVI with considering vegetation growth trajectory, protection of key point, noise resistance and curve stability. Remote Sensing of Environment, 189, 164-179.

Liu, Y., Liu, R., Shang, R. (2022). GLOBMAP SWF: a global annual surface water cover frequency dataset during 2000–2020. Earth System Science Data. 14, 4505–4523.

Liu, Y., Wu, C., …, Shang, R. (2022). Satellite Observed Land Surface Greening in Summer Controlled by the Precipitation Frequency Rather Than Its Total Over Tibetan Plateau. Earth’s Future. 10.

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

开源算法与数据 Open source algorithms and data

多源高分辨率时间序列遥感融合算法(TRA):https://github.com/GERSL/TRA

高分辨率扰动近实时监测算法(NRT-MONITOR):https://github.com/GERSL/NRT-MONITOR

中国1986-202230米分辨森林年龄数据产品(CAFA): https://doi.org/10.6084/m9.figshare.24464170

中国1986-202130米分辨森林扰动数据产品(CAFD):https://doi.org/10.6084/m9.figshare.24464278

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

获奖 Awards

2024年 中国自然资源学会自然资源信息系统专业委员会学术年会优秀青年学术报告

2023年 “竞明地理科学教育基金”青年学者奖教金

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

科研项目 Research projects

国家自然科学基金面上项目,复杂地形下林分尺度森林碳源汇时空模拟研究,2025-2028,主持

国家自然科学基金联合项目课题,海南热带雨林的碳汇稳定性及其调控机制研究,2024-2027,主持

国家自然科学基金青年项目,融合高分辨率遥感数据的森林扰动近实时监测算法研究,2022-2024,主持

福建省自然科学基金青创项目,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,2021-2024,主持

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

指导学生 Supervisions

指导或协助指导博士研究生3人、硕士研究生5人(2人已毕业)

指导本科生获奖:

2022年全国ESRI大赛:龚梓彤(三等奖)、吴佳敏(三等奖)

2023年全国ESRI大赛:付鑫悦(二等奖、三等奖)、吴佳敏(二等奖)

2024年全国ESRI大赛:谢雨蝶(一等奖)、欧洲(三等奖)

2025年优秀本科毕业生:付鑫悦






欢迎有遥感科学、地理信息科学、自然灾害学、林学、自然地理学、计算机科学背景的同学报考!