骆玉川，男，副教授。主要从事植被遥感监测与模拟、气候变化影响与适应性分析等研究。已在Earth System Science Data、Science China Earth Sciences、International Journal of Applied Earth Observation and Geoinformation、Environmental Research Letters、Agricultural and Forest Meteorology、Advances in Climate Change Research等国内外期刊发表论文20余篇，入选ESI高被引论文，荣获IOP出版社2023年“中国高被引文章奖”。
个人经历：
1. 2023.07至今 beat365官方登录入口 beat365中文官方网站
2. 2018.09 – 2023.06 北京师范大学 地理科学学部 理学博士
3. 2014.09 – 2018.06 华中农业大学 园艺林学学院 农学学士
科研项目：
1. 国际(地区)合作与交流项目，气候变化背景下东南亚水稻灾害发生机理、灾害风险和农民生计评估与防灾减灾策略研究，2021–2025，参与
2. 国家自然科学基金面上项目，基于作物模型模拟和多源数据同化技术的区域农业灾害风险研究—以我国北方小麦干旱为例，2020–2023，参与
3. 国家重点研发计划子课题，未来气候极端事件对我国农作物生产的影响评估，2020–2025，参与
学术兼职：
《GIScience & Remote Sensing》、《International Journal of Disaster Risk Reduction》、《International Journal of Digital Earth》、《Remote sensing》期刊审稿人
已发表论文：
Yuchuan Luo, Zhao Zhang*, et al. 2020. ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products. Earth System Science Data. 12: 197-214. (入选ESI高被引论文，JCR-Q1，IF= 11.4)
Yuchuan Luo, Zhao Zhang*, et al. 2020. Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-sources data. Environmental Research Letters. 15: 074003. (获IOP Publishing Top Cited Paper Award from China，JCR-Q1，IF= 6.7)
Yuchuan Luo, Zhao Zhang*, et al. 2021. Spatiotemporal patterns of winter wheat phenology and its climatic drivers based on an improved pDSSAT model. Science China Earth Sciences. 64(12): 2144-2160. (JCR-Q1，IF= 5.7)
Yuchuan Luo, Zhao Zhang*, et al. 2022. Accurately mapping global wheat production system using deep learning algorithms. International Journal of Applied Earth Observation and Geoinformation, 110: 102823. (JCR-Q1，IF= 7.5)
Yuchuan Luo, Zhao Zhang*, et al. 2022. Weakened maize phenological response to climate warming in China over 1981‒2018 due to cultivar shifts. Advances in Climate Change Research, 13: 710-720. (JCR-Q1，IF= 7.4)
Yuchuan Luo, Zhao Zhang *, et al. 2022. Developing High-Resolution Crop Maps for Major Crops in the European Union Based on Transductive Transfer Learning and Limited Ground Data. Remote Sensing. 14(8): 1809. (SCI TOP，IF= 5)
Yuchuan Luo, Zhao Zhang*, et al. 2020. Drivers of planting area and yield shifts for three staple crops across China, 1950−2013. Climate Research. 80: 73-84.
Liangliang Zhang, Zhao Zhang*, Yuchuan Luo, et al. 2020. Optimizing genotype-environment-management interactions for maize farmers to adapt to climate change in different agro-ecological zones across China. Science of the Total Environment. 728:138614.
Liangliang Zhang, Zhao Zhang*, Yuchuan Luo, et al. 2021. Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning. Agricultural and Forest Meteorology. 311(4):108666.
Juan Cao, Zhao Zhang*, Yuchuan Luo, et al. 2021. Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine. European Journal of Agronomy. 123(1):126204.
Jichong Han, Zhao Zhang*, Yuchuan Luo, et al. 2022. Annual paddy rice planting area and cropping intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020. Agricultural Systems. 200: 103437.
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电子邮箱：lyc20230703@swu.edu.cn
