 | 姓名 | 刘琦 |
| 职务/职称 | 讲师 | |
| 研究方向 | 人工智能应用、遥感大数据 | |
| 联系方式 | qi.liu@jsut.edu.cn |
个人简介：
刘琦，男，1992年，2023年博士毕业于中国科学院大学，博士期间于德国亥姆霍兹环境研究中心（UFZ）进行联合培养。自2017年至今，主要从事遥感大数据、人工智能应用等前沿热点方向研究，主要研究领域包括，气候变化影响及应对，干旱监测，土地利用类型分类（人工智能应用），数据重构等。发表SCI期刊论文20余篇，主持科研项目6项，其中国家级1项、市厅级4项，横向项目1项。
主授课程：《计算机系统基础》、《数据采集与实时计算》和《人工智能应用与实践》等
荣誉与奖励：
1. 入选2025年度江苏省青年科技人才托举工程；
2. 入选2025年度常州市青年科技人才托举工程。
论文发表
[1] Liu, Q., Ma S., Li S., Tang J., Qiu J., Zhang J. 2026. Increasing optimal land surface temperature for vegetation photosynthesis accompanies a shift toward sub-optimal thermal conditions across ecosystems over China. Environmental Research Communications. (in press)
[2] Tang, J., Liu, Q.*, Han, J., Zheng, H., Li S., Fan, H., 2026. The increasing sensitivity of photosynthesis to land surface temperature over China’s grasslands. Ecological Indicators 184, 114706. (通讯作者)
[3] Liu, Q., Pan, Z., Wang, Z., Tang, J., Qiu, J., Han, J., Zheng, H., Li S., 2025. Global Multi-Faceted Application and Evaluation of Three Commonly Used NDVI Products for Terrestrial Ecosystem Monitoring. Sustainability 17, 9790.
[4] Liu, Q., Guo, H., Zhang, J., Li S., Li J., Yao F., Mahecha, M.D., Peng, J., 2024. Global assessment of terrestrial productivity in response to water stress. Science Bulletin 69, 2352-2356.
[5] Liu, Q., Yang, S., Li S., Zhang H., Zhang J., Fan, H., 2024. The optimal applications of scPDSI and SPEI in characterizing meteorological drought, agricultural drought and terrestrial water availability on a global scale. Science of The Total Environment 952, 175933.
[6] Liu, Q., Yao, F., Garcia-Garcia, A., Zhang, J., Li, J., Ma, S., Li, S., Peng, J., 2023. The response and sensitivity of global vegetation to water stress: A comparison of different satellite-based NDVI products. International Journal of Applied Earth Observation and Geoinformation 120, 103341.
[7] Liu, Qi, Liu, Quan, Meng, X., Zhang, J., Yao, F., Zhang, H., 2021. The Impact of Seasonality and Response Period on Qualifying the Relationship between Ecosystem Productivity and Climatic Factors over the Eurasian Steppe. Remote Sensing 13, 3159.
[8] Liu, Qi, Zhang, J., Zhang, H., Yao, F., Bai, Y., Zhang, S., Meng, X., Liu, Quan, 2021. Evaluating the performance of eight drought indices for capturing soil moisture dynamics in various vegetation regions over China. Science of The Total Environment 789, 147803.
[9] Liu, Q., Zhang, S., Zhang, H., Bai, Y., Zhang, J., 2020. Monitoring drought using composite drought indices based on remote sensing. Science of The Total Environment 711, 134585.
[10] Liu, Q., Zhang, G., Ali, S., Wang, X., Wang, G., Pan, Z., Zhang, J., 2019. SPI-based drought simulation and prediction using ARMA-GARCH model. Applied Mathematics and Computation 355, 96–107.
研究课题
1. 国家自然科学基金（C类），中国地区植被对大气水分需求的响应变化及干旱调控机理研究，2025.01-2027.12，主持；
2. 江苏省高等学校基础科学（自然科学），气候变化下植被对大气水分需求的响应变化及其归因研究，2024.07-2026.07，主持；
3. 常州市科技计划（应用基础研究专项），江苏生态系统植被对大气干燥的响应变化及调控机制研究，2024.05-2026.05，主持；
4. 横向项目，高精度IC固晶机控制系统的研发，2025.01-2025.12，主持。
