代表论文
1. Yating Gu, Zejun Wu, Matteo Detto, Dedi Yang, Jiayue Wang, Yingyi Zhao, Xi Yang, Jin Wu*. Improving leaf spring phenology modeling for temperate tree species: An integration of the Farquhar-Medlyn photosynthesis model with the optimality-based approach. Methods in Ecology and Evolution, 2025 (accepted).
2. Yating Gu, Lin Meng, Yantian Wang, Zherong Wu, Yuhan Pan, Yingyi Zhao, Matteo Detto, Jin Wu*. Uncovering the role of solar radiation and water stress factors in constraining decadal intra-site spring phenology variability in diverse ecosystems across the Northern Hemisphere. New Phytologist, 2025.
3. Yating Gu, Yantian Wang*, Sheng Nie, Cheng Wang, Zherong Wu. Retrieving Aboveground Biomass in the United States’ Largest Dry Woodland Ecosystem using Simulated ICESat-2 Data. IEEE Geoscience and Remote Sensing Letters, 2025.
4. Youran Fu, Zherong Wu, Zhi Zheng, Qi Zhu, Yating Gu, Mei-Po Kwan. Mamba-LCD: Robust Urban Change Detection in Low-Light Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.
5. Yating Gu, Yingyi Zhao, Zhengfei Guo, Lin Meng, Kun Zhang, Jing Wang, Calvin K.F. Lee, Jing Xie, Yantian Wang, Zhengbing Yan, He Zhang, Jin Wu*. The underappreciated importance of solar radiation in constraining spring phenology of temperate ecosystems in the Northern and Eastern United States. Remote Sensing of Environment, 2023.
6. Yingyi Zhao, Calvin K.F. Lee, Zhihui Wang, Jing Wang,Yating Gu, Jing Xie, Ying Ki Law, Guangqin Song, Timothy C. Bonebrake, Xi Yang, Bruce W. Nelson, Jin Wu*. Evaluating fine-scale phenology from PlanetScope satellites with ground observations across temperate forests in eastern North America. Remote Sensing of Environment, 2022.
7. Jing Wang, Calvin K.F. Lee, Xiaolin Zhu, Ruyin Cao, Yating Gu, Shengbiao Wu, Jin Wu*. A new object-class based gap-filling method for PlanetScope satellite image time series. Remote Sensing of Environment, 2022.
8. Yating Gu, Yantian Wang, Yansheng Li*. A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and SceneGuided Object Detection. Applied Sciences, 2019.
项目主持
2025-2028，基于多源数据融合与功能动态模型的森林健康监测与提早预警研究，江苏省自然科学基金-青年基金：SBK20250403215，主持；
2025-2026，面向智慧林业的森林健康动态监测与风险预警系统，青年科技基金专项：B250201125，主持；
2025-2028，长江流域森林碳汇对干旱与高温极端复合事件的响应机制，国家自然科学基金-面上项目，技术骨干参与；
2022-2025，基于树木个体和森林生态系统的落叶物候监测和机理探究，香港大学教育资助委员会：17305321，技术骨干参与；
2020-2023，基于实地观测、多源遥感及机理模型的光合作用季节性建模，香港大学教育资助委员会：27306020，技术骨干参与
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