研究队伍

姓  名:
赵涌泉
性  别:
职  务:
 
职  称:
副研究员
学  历:
博士研究生
通讯地址:
江苏省南京市北京东路73号
电  话:
 
邮政编码:
210008
传  真:
 
电子邮件:
yqzhao@niglas.ac.cn

简历:
工作简历
2023.09~今:   中国科学南京地理与湖泊研究所,副研究员(中国科学院“百人计划”人才引进)
2022.09~2023.06  中山大学,副教授(中山大学“百人计划”人才引进)
2021.01~2022.07  美国康涅狄格大学,博士后
2020.11~2020.12  美国俄亥俄州立大学,访问学者
2019.03~2020.10  美国俄亥俄州立大学,博士后
2018.10~2019.03  香港中文大学,助理研究员
2014.08~2018.07  香港中文大学,教学助理
2013.09~2014.07  香港中文大学深圳研究院,研究助理
 
学习简历
2014.08~2018.11  香港中文大学,地理与资源管理学专业,博士
2018.02~2018.04  澳大利亚昆士兰大学,博士交换生
2017.10~2018.01  意大利帕维亚大学,博士交换生
2010.09~2013.07  中国科学院大学(培养单位:中国科学院遥感与数字地球研究所),电子与通信工程专业,硕士
2006.09~2010.06  武汉大学,遥感科学与技术专业,学士
 

研究领域:
 遥感影像融合,星-地数据融合,高分辨率环境遥感
社会任职:

获奖及荣誉:
2022  Contribution to Open Science for Advancing the United Nations Sustainable Development Goals,ELSEVIER
2018  首届粤港澳大湾区高校学生BIM-CIM创新大赛优秀论文一等奖
2017  Best Paper Award, 19th International Conference on Geoscience and Remote Sensing
2017  Award of Outstanding Contribution in Reviewing,Remote Sensing of Environment
2016  香港中文大学全球卓越研究奖学金 (Global Scholarship Award for Research Excellence)
代表论著:
主要一作/通讯作者论著:
[1]  Zhao, Y.*, Bonello, P., & Liu, D*. (2023). Mapping the Environmental Risk of Beech Leaf Disease in the Northeastern United States, Plant Disease. doi: 10.1094/PDIS-12-22-2908-RE.
[2]  Zhang, H., Luo, M.*, Zhao, Y.*, Lin, L., Ge, E., Yang, Y., ... & Wang, X. (2023). HiTIC-Monthly: a monthly high spatial resolution (1 km) human thermal index collection over China during 2003–2020, Earth System Science Data, 15(1), 359–381. 
[3]  Zhao, Y.*, & Zhu, Z. (2022). ASI: An Artificial Surface Index for Landsat 8 Imagery, International Journal of Applied Earth Observation and Geoinformation, 107, 102703. 
[4]  Zhao, Y., & Liu, D*. (2022). A robust and adaptive spatial-spectral fusion model for PlanetScope and Sentinel-2 imagery. GIScience & Remote Sensing, 59(1), 520-546. 
[5]  Zhao, Y., Huang, B.*, Liu, D., & He, Q. (2021). A sparse representation-based fusion model for improving daily MODIS C6.1 aerosol products on a 3 km grid. International Journal of Remote Sensing, 2021, 42(3), 1077-1095.
[6]  Hao, T., Zhao, Y.*, Luo, M.*, He, Q., Han, Y., & Zeng, Z. (2021). Estimating PM2.5 from multisource data: A comparison of different machine learning models in the Pearl River Delta of China. Urban Climate, 35, 100740. 
[7]  Wu, S., Wang, P., Tong, X., Tian, H., Zhao, Y.*, & Luo, M*. (2021). Urbanization-driven increases in summertime compound heat extremes across China. Science of The Total Environment, 799, 149166. 
[8]  Wu, S., Chan, T., Zhang, W., Ning G., Wang, P., Tong, X., ..., Zhao, Y.*, & Luo, M*. (2021). Increasing compound heat and precipitation extremes elevated by urbanization in South China. Frontiers in Earth Science, 9, 636777. 
[9]  Zhao, Y., Liu, D.*, & Wei, X. (2020). Monitoring cyanobacterial harmful algal blooms at high spatiotemporal resolution by fusing Landsat and MODIS imagery. Environmental Advances, 2020, 2, 100008.
[10]  Zhao Y., Huang B.*, & Song, H. (2018). A robust adaptive spatial and temporal image fusion model for complex land surface changes. Remote Sensing of Environment, 2018, 208, 42-62. 
[11]  Zhao, Y.*, & Huang B. (2017). A Hybrid Image Fusion Model for Generating High Spatial-Temporal-Spectral Resolution Data Using OLI-MODIS-Hyperion Satellite Imagery. World Academy of Science, Engineering and Technology, International Journal of Geological and Environmental Engineering, 11(9), 843-848.
[12]  赵涌泉, 单小军, & 唐娉*. (2014). 低空间分辨率多源遥感数据的空间一致性分析和相对几何校正. 遥感技术与应用, 29(1): 155–163.  
主要合作论著:
[1]  Li, T.*, Zhu, Z., Wang, Z., Roman, M. O., Kalb, V. L., & Zhao, Y. (2022). Continuous monitoring of nighttime light changes based on daily NASA's Black Marble product suite. Remote Sensing of Environment, 282, 113269.  
[2]  Lin, L., Gao T.*, Luo, M.*, Ge, E., Yang, Y., Liu, Z., Zhao, Y., & Ning, G. (2020). Contribution of urbanization to the changes in extreme climate events in urban agglomerations across China. Science of The Total Environment, 2020, 744, 140264. 
[3]  李大成*, 韩启金, & 赵涌泉. (2018). 一种单时相高分辨率遥感影像时空融合算法. 计算机工程与应用, 54(5): 191–199. 
[4]  黄波*, & 赵涌泉. (2017). 多源卫星遥感影像时空融合研究的现状及展望. 测绘学报, 46(10):1492–1499. 
代码分享:
https://github.com/RichardPix

承担科研项目情况:
1. 2024.01~2026.12,项目名称:面向星座协同观测的甚高-中空间分辨率影像空谱融合,国家自然科学基金青年科学基金项目,项目负责人
2. 2021.01~2022.07,项目名称:Wide Area Terrestrial Chang Hypercube (WATCH),Office of the Director of National Intelligence/Intelligence Advanced Research Projects Activity (IARPA),项目骨干
3. 2019.08~2020.10,项目名称:Small Unmanned Aerial Vehicles and Artificial Intelligence to Manage Invasive Forest Pests,Center for Applied Plant Sciences at The Ohio State University,项目骨干
4. 2019.03~2020.12,项目名称:Strengthening Agricultural Geospatial Education and Research at Central State University,United States Department of Agriculture,项目骨干