江佳乐，博士，副教授，硕士生导师
主要从事气候变化与粮食安全研究，涉及无人机/卫星遥感、多尺度监测、作物表型等。
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Jiale JIANG, Associate Professor, M.D. Supervisor
Research interests: climate change and food security, involving UAV/satellite remote sensing, multi-scale monitoring, crop phenotyping.
联系方式（Contact）
办公地址（Address）：中山大学珠海校区海琴二号A251（A251, Haiqin 2, Sun Yat-sen University, Zhuhai, Guangdong, China）
电子邮箱（Email）：jiangjle@mail.sysu.edu.cn
研究生：欢迎有兴趣从事气候变化与粮食安全（涉及无人机/卫星遥感、多尺度监测等）相关研究工作的同学报考！
本科生：欢迎有相关研究兴趣的本科生参与研究性学习与毕业论文研究！
教育与科研经历（Education & Research Background）
2022 – 至今 中山大学，大气科学学院，副教授
2019 – 2021 沙特阿卜杜拉国王科技大学，环境科学与工程系，博士后
2017 – 2019 南京农业大学，国家信息农业工程技术中心，博士后
2012 – 2017 中国地质大学（北京），测绘科学与技术，工学博士
2015 – 2016 英国伦敦大学学院，地理系，CSC联合培养博士生
2008 – 2012 中国地质大学（北京），地理信息系统，理学学士
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2022 – Present Sun Yat-Sen University (China), Associate Professor
2019 – 2021 King Abdullah University of Science & Technology (Saudi Arabia), Postdoc
2017 – 2019 Nanjing Agricultural University (China), Postdoc
2012 – 2017 China University of Geosciences (Beijing), Ph.D. (Surveying and Mapping)
2015 – 2016 University College London (UK), Visiting Student
2008 – 2012 China University of Geosciences (Beijing), M.S. (Geographic Information System)
科研项目（Funding）
2024 – 2026，国自然青年科学基金（The National Natural Science Foundation of China），在研，主持（Principal Investigator）
2023 – 2025，中山大学“百人计划”人才引进项目，在研，主持（Principal Investigator）
2023，中央高校基本科研业务费青年教师培育项目，结题，主持（Principal Investigator）
学术兼职（Professional Activities）
《Plant Phenomics》青年编委
国际数字地球学会中国国家委员会数字农业专委会委员
讲授课程（Teaching）
本科生课程《无人机入门：从理论到实操》（UAV Introduction: from Principle to Practice）
本硕贯通/硕士生课程《气候系统与气候变化》（Climate System and Climate Change）
发表论文（Publications）
（所有论文成果：https://www.researchgate.net/profile/Jiale-Jiang/research）
- Jiang, J., Zhang, Q., Wang, W., Wu, Y., Zheng, H., Yao, X., Zhu, Y., Cao, W., Cheng, T.* (2022) MACA: A Relative Radiometric Correction Method for Multi-flight Unmanned Aerial Vehicle Images Based on Concurrent Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14.
- Jiang, J.*, Johansen, K., Tu, Y.-H., & McCabe, M.F. (2022). Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data. GIScience & Remote Sensing, 59, 936-958.
- Jiang, J.*, Johansen, K., Stanschewski, C.S., Wellman, G., Mousa, M.A.A., Fiene, G.M., Asiry, K.A., Tester, M., & McCabe, M.F. (2022). Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach. Precision Agriculture, 23, 961-983.
- Jiang, J., Liu, H., Zhao, C., He, C., Ma, J., Cheng, T., Zhu, Y., Cao, W., & Yao, X.* (2022). Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs. Remote Sensing, 14.
- Jiang, J., Zhu, J., Wang, X., Cheng, T., Tian, Y., Zhu, Y., Cao, W., & Yao, X.* (2021). Estimating the Leaf Nitrogen Content with a New Feature Extracted from the Ultra-High Spectral and Spatial Resolution Images in Wheat. Remote Sensing, 13.
- Jiang, J.*, Zhang, Q., Yao, X., Tian, Y., Zhu, Y., Cao, W., & Cheng, T. (2020). HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4607-4626.
- Jiang, J., Cai, W., Zheng, H., Cheng, T., Tian, Y., Zhu, Y., Ehsani, R., Hu, Y., Niu, Q., Gui, L., & Yao, X.* (2019). Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat. Remote Sensing, 11, 2667.
- Li, W., Jiang, J., Guo, T., Zhou, M., Tang, Y., Wang, Y., Zhang, Y., Cheng, T., Zhu, Y., Cao, W., & Yao, X.* (2019). Generating red-edge images at 3 m spatial resolution by fusing Sentinel-2 and Planet satellite products. Remote Sensing, 11, 1422.
- Jiang, J., Zheng, H., Ji, X., Cheng, T., Tian, Y., Zhu, Y., Cao, W., Ehsani, R., & Yao, X.* (2019). Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring. Sensors, 19, 747.
- Jiang, J., Ji, X., Yao, X., Tian, Y., Zhu, Y., Cao, W., & Cheng, T.* (2018). Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index. Remote Sensing, 10, 221.
- Xu, X., Ji, X., Jiang, J., Yao, X., Tian, Y., Zhu, Y., Cao, W., Cao, Q., Yang, H., Shi, Z., & Cheng, T.* (2018). Evaluation of One-Class Support Vector Classification for Mapping the Paddy Rice Planting Area in Jiangsu Province of China from Landsat 8 OLI Imagery. Remote Sensing, 10, 546.
- Zheng, H., Li, W., Jiang, J., Liu, Y., Cheng, T., Tian, Y., Zhu, Y., Cao, W., Zhang, Y., & Yao, X.* (2018). A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle. Remote Sensing, 10, 2026.
