个人简介：

谢馨瑶，女，1992年生，重庆人，博士

招生专业：

地图学与地理信息系统

学习与工作经历：

• 2024.02-至 今：中国科学院成都山地灾害与环境研究所，副研究员
• 2021.07-2024.02：中国科学院成都山地灾害与环境研究所，助理研究员
• 2020.01-2020.12：加拿大多伦多大学，国家公派博士研究生
• 2015.09-2021.06：中国科学院成都山地灾害与环境研究所，博士
• 2011.09-2015.06：中南大学，学士

研究方向及科研工作：

研究方向

主要从事山地碳水过程遥感监测理论方法与应用研究，重点涉及山地碳水循环过程关键参数遥感估算建模与尺度扩展，山地全球变化遥感监测，山地灾害风险和极端事件遥感识别、监测与分析等。以第一作者发表学术论文20余篇，授权国家发明专利3项。

主持项目

• 国家自然科学基金青年项目“耦合多地表过程的山地植被总初级生产力遥感估算时空尺度协同扩展研究”，2023-2025.
• 中国科学院人才项目“青促会会员资助项目”，2023-2026.
• 中国科学院人才项目“特别研究助理资助项目”，2022-2023.
• 山地所所部署自由探索项目“山地植被碳循环过程高精度遥感监测和精细化模拟”，2023-2025.
• 中国博士后科学基金特别资助项目，2023-2024.
• 中国博士后科学基金面上一等资助项目，2022-2023.
• 四川省自然科学基金青年基金项目“若尔盖高原区域时空无缝山地植被总初级生产力遥感估算研究”，2024-2025.

社会任职、荣誉称号：

获中国科学院院长特别奖，四川省优秀毕业生，中国科学院青年创新促进会会员; 担任Remote Sensing of Environment、Agricultural and Forest Meteorology、Journal of Hydrology、International Journal of Applied Earth Observation and Geoinformation等多个国际权威学术期刊审稿人

代表性论文论著：

[1] Xie, X., Zhao, W. and Yin, G. (2023). TAVIs: Topographically adjusted vegetation index for a reliable proxy of gross primary productivity in mountain ecosystems. Ieee Transactions on Geoscience and Remote Sensing, 1-1

[2] Xie, X., Chen, J.M., Yuan, W., Guan, X., Jin, H. and Leng, J. (2023). A Practical Algorithm for Correcting Topographical Effects on Global GPP Products. Journal of Geophysical Research-Biogeosciences, 128,e2023JG007553

[3] Xie, X. and Li, A. (2023). How is the performance of satellite-based product suites in monitoring long-term dynamics of vegetation photosynthesis over global mountainous areas? International Journal of Applied EarthObservation and Geoinformation, 119, 103325

[4] Xie, X., Li, A., Tian, J., Wu, C. and Jin, H. (2023). A fine spatial resolution estimation scheme for large-scale gross primary productivity (GPP) in mountain ecosystems by integrating an eco-hydrological model with thecombination of linear and non-linear downscaling processes. Journal of Hydrology, 616, 128833

[5] Xie, X. and Li, A. (2023). Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity. Geo-Spatial Information Science, 12

[6] Xie, X., Li, A., Chen, J.M., Guan, X. and Leng, J. (2022). Quantifying Scaling Effect on Gross Primary Productivity Estimation in the Upscaling Process of Surface Heterogeneity. Journal of Geophysical Research:Biogeosciences, 127, e2021JG006775

[7] Xie, X., Tian, J., Wu, C., Li, A., Jin, H., Bian, J., Zhang, Z., Nan, X. and Jin, Y. (2022). Long-term topographic effect on remotely sensed vegetation index-based gross primary productivity (GPP) estimation at the watershedscale. International Journal of Applied Earth Observation and Geoinformation, 108, 102755

[8] Xie, X., Li, A., Guan, X., Tan, J., Jin, H. and Bian, J. (2021). A practical topographic correction method for improving Moderate Resolution Imaging Spectroradiometer gross primary productivity estimation overmountainous areas. International Journal of Applied Earth Observation and Geoinformation, 103, 102522

[9] Xie, X., Chen, J.M., Gong, P. and Li, A. (2021). Spatial Scaling of Gross Primary Productivity Over Sixteen Mountainous Watersheds Using Vegetation Heterogeneity and Surface Topography. Journal of GeophysicalResearch: Biogeosciences, 126, e2020JG005848

[10] Xie, X., Li, A., Tan, J., Jin, H., Nan, X., Zhang, Z., Bian, J. and Lei, G.B. (2020). Assessments of gross primary productivity estimations with satellite data-driven models using eddy covariance observation sites over the northern hemisphere. Agricultural and Forest Meteorology, 280, 14

[11] Xie, X. and Li, A. (2020). An Adjusted Two-Leaf Light Use Efficiency Model for Improving GPP Simulations Over Mountainous Areas. Journal of Geophysical Research-Atmospheres, 125, 19

[12] Xie, X. and Li, A. (2020). Development of a topographic-corrected temperature and greenness model (TG) for improving GPP estimation over mountainous areas. Agricultural and Forest Meteorology, 295, 13

[13] Xie, X., Li, A., Tan, J., Lei, G., Jin, H. and Zhang, Z. (2020). Uncertainty analysis of multiple global GPP datasets in characterizing the lagged effect of drought on photosynthesis. Ecological Indicators, 113, 106224

[14] Xie, X., Li, A., Jin, H., Tan, J., Wang, C., Lei, G., Zhang, Z., Bian, J. and Nan, X. (2019). Assessment of five satellite-derived LAI datasets for GPP estimations through ecosystem models. Science of the Total Environment, 690, 1120-1130

[15] Xie, X., Li, A., Jin, H., Yin, G. and Nan, X. (2018). Derivation of temporally continuous leaf maximum carboxylation rate (V-cmax) from the sunlit leaf gross photosynthesis productivity through combining BEPS model with light response curve at tower flux sites. Agricultural and Forest Meteorology, 259, 82-94

联系方式：

通讯方式：610299，四川省成都市天府新区群贤南街189号，中国科学院水利部成都山地灾害与环境研究所

Email:xinyaoxie@imde.ac.cn

热忱欢迎具有地理学、遥感、计算机、水文气象、生态学等相关背景的同学报考，也欢迎其他院校研究生联合培养