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基本信息 Basic Information
姓 名：许明珠
职 称：讲师
最高学位：理学博士
单 位：福建师范大学地理科学学院
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联系方式Contact
通讯地址：福建省福州市闽侯县上街镇乌龙江中大道18号福建师范大学旗山校区科技楼16#
邮政编码：350117
电子邮箱：xumz@fjnu.edu.cn
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研究方向 Research Interests
全球植被结构和生化参数遥感反演、陆地生态系统碳循环模拟
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个人履历 Resume
教 育：
2016.08-2020.09南京大学地理与海洋科学学院，博士
2013.09-2016.07中国科学院地理科学与资源研究所，硕士
2009.09-2013.06武汉大学资源与环境科学学院，学士
工 作：
2023.12-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
2018.11-2019.11德国地学研究中心，访问学者
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个人简介 Brief
主要研究方向包括基于卫星遥感的植被结构和生化参数反演算法以及数据产品的开发，陆地生态系统碳循环模拟等，希望利用卫星遥感精确刻画区域和全球尺度上的植被属性变化，进而探讨植被对气候变化的响应机制。工作内容主要涉及野外植被属性数据的采集、植被辐射传输过程的模拟，以及对区域和全球尺度中高分辨率卫星资料的处理。
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代表性论文 Selected Publications
（1）第一/通讯作者论文
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
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
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
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
（2）合作者论文
Liang, L., Shang, R., Chen, J.M., Xu, M., Zeng, H., 2023. Improved estimation of the underestimated GEDI footprint LAI in dense forests. Geo-spatial Information Science. https://doi.org/10.1080/10095020.2023.2286377
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
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
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
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
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数据产品 Dataset
MODIS全球叶片叶绿素含量数据产品：
Mingzhu Xu, Ronggao Liu, Jing M. Chen, Yang Liu, & Rong Shang. (2021). Global leaf chlorophyll content (LCC) product from MODIS imagery (2000-2020) (Version V1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5805575
MERIS全球叶片叶绿素含量数据产品：
Mingzhu, X., Liu, R., Chen, J. M., Shang, R., & Liu, Y. (2022). Global leaf chlorophyll content product from MERIS imagery (GLOBMAP MERIS LCC) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10467919
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科研项目 Research projects
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
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
---数据更新至2024年1月8日---
