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：欢迎即将毕业的本科生报考！
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（不限本院/本校）！
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
2025.09–12，国自然国际合作与交流项目（NSFC-CITMA Academic Symposium），结题，主持
2023 – 2025，中山大学“百人计划”人才引进项目，结题，主持
2023，中央高校基本科研业务费青年教师培育项目，结题，主持
学术兼职（Professional Activities）
国际数字地球学会中国国家委员会数字农业专委会 副秘书长
《The Innovation Reviews》青年编委（2026-2028）
《Plant Phenomics》青年编委（2023-2024）
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）
本科生课程《地理空间信息技术与应用》（Geospatial Information Technology and Application）
本硕贯通/硕士生课程《气候系统与气候变化》（Climate System and Climate Change）
学生培养（Students）—— 因材施教，研途共进（Tailored Mentorship, Collaborative Growth）
-- 硕士研究生 --
- 2023级 张千一 资源与环境（研究方向：土壤侵蚀模型中的坡长坡度因子尺度效应及校正方法研究）
- Zhang, Q., Jiang, J.*, & Su, Q.* (2025). Underlying Mechanism of the Topographic Factor Scale Effect in Soil Erosion Equations. Journal of Mountain Science, 22, 2574-2585.
- 软著：粗分辨率DEM下LS因子两阶段尺度校正软件V1.0（完成人：江佳乐，张千一，苏琦）
- 奖励：院级优秀毕业生（2026）；研究生国家奖学金（2025）；陈世训奖学金（2024）
- 毕业去向：中山大学大气科学学院读博
- 2024级 高帅 资源与环境（研究方向：基于无人机的崩岗识别与制图）
- 奖励：陈世训奖学金（2025）
- 2025级 蔡承曦 资源与环境（研究方向：基于无人机的水稻表型研究）
发表论文（Publications）
2026：
Jiang, J.*, Zhang, Q., Johansen, K., Cheng, T., Yao, X., Su, Q., McCabe, M.F., Zhu, Y., & Yuan, W. (2026). UAV-satellite synergies for crop monitoring: current landscape, challenges, and future directions. ISPRS Journal of Photogrammetry and Remote Sensing, 239, 908-927.
吴炳方*, 马慧, 张淼, 潘庆成, 张翔, 陈水森, 邱炳文, 徐新刚, 刘建红, 范锦龙, 黄健熙, 江佳乐, 何昌垂 (2026). 对地观测驱动的数字（智慧）农业研究前沿与应用案例. 智慧农业(中英文), 8(2), 1-17.
2025：
Jiang, J.*, Gao, S., Li, C., Zhang, Q., Sun, Q.* (2025) Improving the Satellite-based Winter Wheat Monitoring by Using UAV-derived Leaf Chlorophyll Content. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 24242-24250.
Jiang, J.*, Zhang, Q., & Gao, S. (2025). Enhancing Multi-Flight Unmanned-Aerial-Vehicle-Based Detection of Wheat Canopy Chlorophyll Content Using Relative Radiometric Correction. Remote Sensing, 17, 1557.
Zhang, Q., Jiang, J.*, & Su, Q.* (2025). Underlying Mechanism of the Topographic Factor Scale Effect in Soil Erosion Equations. Journal of Mountain Science, 22, 2574-2585.
Li, S., Shen, R., Jiang, J., Peng, Q., Chen, X., Dong, J., Dong, J., & Yuan, W.* (2025). A long-term paddy rice distribution dataset in Asia at a 30 m spatial resolution. Scientific Data, 12.
Li, W., Li, D., Warner, T.A., Liu, S., Baret, F., Yang, P., Jiang, J., Dong, M., Cheng, T., Zhu, Y.*, Cao, W., & Yao, X.* (2025). Improved generality of wheat green LAI models through mitigation of the effect of leaf chlorophyll content variation with red edge vegetation indices. Remote Sensing of Environment, 318.
李林源，黄华国*，穆西晗，阎广建，漆建波，严正兵，江佳乐，杨浩，肖青.2025. 低空无人机植被定量遥感：进展、挑战与展望. 遥感学报，29（6）：2083-2113.
Guan, X., Liu, M.*, Cao, S., & Jiang, J. (2025). Phenology-Aware Transformer for Semantic Segmentation of Non-Food Crops from Multi-Source Remote Sensing Time Series. Remote Sensing, 17.
Su, Q.*, Wang, X., Yuan, D., Jiang, J., Lai, Z., Zhang, L., Sun, H., Li, H., Huang, X., Zhou, K., & Li, H. (2025). Temporally staggered formation of the Middle Pleistocene terrace in the Gonghe Basin (northeastern Tibetan Plateau) and the evolution of the Upper Yellow River. Geological Society of America Bulletin.
Before 2024：
Zhu, J., Lu, J., Li, W., Wang, Y., Jiang, J., Cheng, T., Zhu, Y., Cao, W., & Yao, X.* (2023). Estimation of canopy water content for wheat through combining radiative transfer model and machine learning. Field Crops Research, 302.
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., 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.
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., 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.
Jiang, J., Cheng, T.*, Huang, J., Yao, X., Tian, Y., Zhu, Y., & Cao, W. (2018). Improving the Estimation of Leaf Area Index in Winter Wheat at Regional Scale. In, International Geoscience and Remote Sensing Symposium (pp. 5433-5436). Valencia, Spain: IEEE.
Zheng, H., Li, W., Jiang, J., Liu, Y., Tao, C., 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, 19, 747.
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.
Jiang, J., Liu, X.*, Xu, Z., Jin, M., & Liu, F. (2016). An improved BP neural network model for estimating Cd stress in rice using remote sensing data. In, International Conference on Fuzzy Systems and Knowledge Discovery (pp. 859-863). Zhangjiajie, China: IEEE.
Huang, Z., Liu, X.*, Jin, M., Ding, C., Jiang, J., & Wu, L. (2016). Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model. Sensors (Basel), 16.
Jiang, J., Liu, X.*, Liu, C., Wu, L., Xia, X., Liu, M., & Du, Z. (2015). Analyzing the Spatial Scaling Bias of Rice Leaf Area Index From Hyperspectral Data Using Wavelet–Fractal Technique. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 8, 3068-3080.
Liu, M., Liu, X.*, Liu, D., Ding, C., & Jiang, J. (2015). Multivariable integration method for estimating sea surface salinity in coastal waters from in situ data and remotely sensed data using random forest algorithm. Computers & Geosciences, 75, 44-56.
江佳乐, 刘湘南*, 刘美玲, & 毕晓庆 (2014). 基于随机森林的香港海域海表盐度遥感反演模型. 海洋通报, 33, 333-341.
Liu, M., Liu, X.*, Li, J., Ding, C., & Jiang, J. (2014). Evaluating total inorganic nitrogen in coastal waters through fusion of multi-temporal RADARSAT-2 and optical imagery using random forest algorithm. International Journal of Applied Earth Observation and Geoinformation, 33, 192-202.
Liu, F., Liu, X.*, Zhao, L., Ding, C., Jiang, J., & Wu, L. (2014). The Dynamic Assessment Model for Monitoring Cadmium Stress Levels in Rice Based on the Assimilation of Remote Sensing and the WOFOST Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 1330-1338.
Liu, M., Liu, X.*, Jiang, J., & Xia, X. (2013). Artificial Neural Network and Random Forest Approaches for Modeling of Sea Surface Salinity. International Journal of Remote Sensing Applications, 3, 229.
专利&软著（Patent & Software Copyright）
江佳乐，张千一，苏琦. 粗分辨率DEM下LS因子两阶段尺度校正软件V1.0，2026SR0704193, 原始取得, 全部权利, 2026-07-02（软件著作权）
程涛，江佳乐，姬旭升，姚霞，田永超，朱艳，曹卫星. 一种面向田块尺度作物生长监测的遥感影像时空融合方法, 2020-04-07, 中国, CN201811312555.4（专利）
