许明珠

个人履历

教  育：

2016.08-2020.09 南京大学 地理与海洋科学学院，地理学专业，理学博士

2013.09-2016.07 中国科学院大学 地理科学与资源研究所，地图学与地理信息系统，理学硕士

2009.09-2013.06 武汉大学 资源与环境科学学院，地理学基地班专业，理学学士

工  作：

2023.12至今 福建师范大学地理科学学院讲师

2020.10-2023.10  福建师范大学地理科学学院 博士后

个人简介

研究兴趣主要包括基于卫星遥感的植被结构和生化参数反演算法和数据产品开发、陆地生态系统碳循环模拟等。研究的关注点在于区域和全球尺度上植被变化的详细描绘，这有助于深入了解植被对气候变化的响应机制。具体的工作范围包括野外植被属性数据的采集、植被辐射传输过程的模拟，以及区域和全球尺度中高分辨率卫星资料的处理。主要使用C++、MATLAB、Python、Google Earth Engine等编程语言。

科研项目

1. 基于多光谱遥感的落叶阔叶林不同季节叶片叶绿素含量反演研究，国家自然科学基金青年项目，2023.01-2025.12，主持

2. 亚热带阔叶林叶面积指数和叶片叶绿素含量遥感反演研究，中国博士后科学基金面上资助项目，2021.06-2023.10，主持

代表性论文

1. Shang, R., Chen, J.M., Xu, M., Lin, X., Li, P., Yu, G., He, N., Xu, L., Gong, P., Liu, L., Liu, H., Jiao, W., 2023. China’s current forest age structure will lead to weakened carbon sinks in the near future, The Innovation. https://doi.org/10.1016/j.xinn.2023.100515 

2. Xu, M., Shang, R., Chen, J.M., Zeng, L., 2023. LACC2.0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation Biochemical Parameters. Remote Sensing. 15, 3277. https://doi.org/10.3390/rs15133277 

3. Xu, M., Liu, R., Chen, J.M., Shang, R., Liu, Y., Qi, L., Croft, H., Ju, W., Zhang, Y., He, Y., Qiu, F., Li, J., Lin, Q., 2022. Retrieving global leaf chlorophyll content from MERIS data using a neural network method. ISPRS Journal of Photogrammetry and Remote Sensing. 192, 66–82. https://doi.org/10.1016/J.ISPRSJPRS.2022.08.003 

4. 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. https://doi.org/10.1109/TGRS.2022.3204185 

5. Xu, M., Liu, R., Chen, J.M., Liu, Y., Shang, R., Ju, W., Wu, C., Huang, W., 2019. Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach. Remote Sensing of Environment. 224, 60–73. https://doi.org/10.1016/j.rse.2019.01.039 

6. Li, J., Ju, W., He, W., Wang, H., Zhou, Y., Xu, M., 2019. An Algorithm Differentiating Sunlit and Shaded Leaves for Improving Canopy Conductance and Vapotranspiration Estimates. Journal of Geophysical Research: Biogeosciences. 124, 807–824. https://doi.org/10.1029/2018JG004675 

7. Shang, R., Liu, R., Xu, M., Liu, Y., Dash, J., & Ge, Q. (2018). Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories. Remote Sensing, 10, 122. https://doi.org/10.3390/rs10010122 

8. Shang, R., Liu, R., Xu, M., Liu, Y., Zuo, L., & Ge, Q. (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. https://doi.org/10.1016/j.rse.2017.07.020