联系方式
电子邮箱：lisijin@njnu.edu.cn
ResearchGate: https://www.researchgate.net/profile/Sijin-Li-8
教育背景
2018.09-2023.06, 南京师范大学, 地理科学学院, 理学博士（硕博连读）
2019.09-2021.06, Paris-Lodron-Universität Salzburg, Applied Geoinformatics, Master of Science
2014.09-2018.06, 山东科技大学, 测绘与空间信息学院, 遥感科学与技术， 工学学士
研究经历
2023.8-至今, 南京师范大学, 地理科学学院, 讲师
主要研究方向
数字地形分析；数字地貌分类与制图；GeoAI
主要社会兼职
ISPRS Journal of Photogrammetry and Remote Sensing, Earth Surface Processes and Landforms, Wetlands Ecology and Management, Environmental Earth Sciences等期刊审稿人
荣誉和获奖情况
2022.09 第十届高校GIS论坛“高校GIS新秀”
近期发表论文（*通讯作者）
1. Li, S., Hu, G., Cheng, X., Xiong, L., Tang, G., & Strobl, J. (2022). Integrating topographic knowledge into deep learning for the void-filling of digital elevation models. Remote Sensing of Environment, 269, 112818.
2. Xiong, L., Li, S.*, Tang, G., & Strobl, J. (2022). Geomorphometry and terrain analysis: Data, methods, platforms and applications. Earth-Science Reviews, 104191.
3. Li, S., Xiong, L., Hu, G., Dang, W., Tang, G., & Strobl, J. (2021). Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning. Land Degradation & Development, 32(7), 2303-2317.
4. Li, S., Xiong, L., Tang, G., & Strobl, J. (2020). Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery. Geomorphology, 354, 107045.
5. Li, S., Li, K., Xiong, L., & Tang, G. (2022) Generating Terrain Data for Geomorphological Analysis by Integrating Topographical Features and Conditional Generative Adversarial Networks. Remote Sensing, 14, 1166.
6. Jiang, Y., Xiong, L.*, Huang, X., Li, S.*, & Shen, W. (2023). Super-resolution for terrain modeling using deep learning in high mountain Asia. International Journal of Applied Earth Observation and Geoinformation, 118, 103296
7. 李思进,代文,熊礼阳,汤国安.DEM分辨率对黄土侵蚀沟形态特征表达的不确定性分析[J].地球信息科学学报,2020,22(03):338-350.
承担（参与）的主要科研项目
2020.01-2024.12，国家自然科学基金重点项目“面向地貌学本源的数字地形分析理论与方法研究”，参与
2021.09-2022.09，江苏省科研与实践创新计划”黄土地貌景观图谱研究-以黄土丘陵沟壑区为例“，主持
2018.09-2020.12，国家自然科学基金面上项目“基于空代时的黄土高原黄土地貌演化图谱研究”，参与
授权专利及软件
杨昕;李思进;马俊飞;陈阳;李昕. 基于数字高程模型和坡度成本距离的河谷平原提取方法. CN 115544789 B