研究
基于国际首创的“通量-大气-遥感”观测平台，开展包括大气、土壤、水文、植被等方面的地面综合观测实验，探究亚热带山地森林生态系统物质、能量循环过程和植物生理机制。并结合无人机和卫星遥感观测技术，形成“空-天-塔-地”的立体观测体系，开展遥感分类、森林碳储量遥感、植被参数定量遥感、变化检测等遥感观测技术方法，探究森林碳源汇时空演变格局及其影响机制。最终，综合地面观测实验和立体观测体系，构建并优化生态过程模型，发展全球碳同化系统，模拟评估区域到全球尺度的陆地碳汇及其对气候变化的响应和演变趋势。
随着梯度观测及涡动相关技术在大气化学成分通量观测方面也展现出巨大的应用潜力。福建师范大学上杭通量观测站将建立臭氧，挥发性有机物等大气化学成分通量长期观测基地和数据集，填补亚热带陆地生态系统臭氧通量观测资料的空白，理解亚热带森林冠层内外臭氧通量变化规律，针对森林生态系统与大气臭氧相互作用双向评估，推进对大气和森林之间大气化学成分交换过程的认识。开展长时间序列臭氧全面研究臭氧通过臭氧-植被相互作用如何影响中国的气象和空气质量，特别是在严重的臭氧污染下，目前仍然有限但急需进行。 此外，通过监测不同植被类型对臭氧的通量，可以研究植被对臭氧的敏感性和适应性。臭氧通量观测为研究大气、生态系统和气候变化之间的复杂相互作用提供了重要的数据。
围绕陆地生态过程模型BEPS (Biosphere-atmosphere Exchange Process Simulator)，利用通量及大气环境观测网络，深入研究区域及全球尺度的碳水循环机理，以此为基础致力于下一代过程模型的开发。同时借助无人机和卫星遥感信息反演关键植被生化和结构参数，优化生态过程模型，模拟区域和全球陆地生态系统的碳水循环。此外，在气候变化的背景下，通过耦合中小尺度的模型与全球陆面过程模型，进行陆地生态系统对气候变化的响应及演变的模拟和预测。最终，实现生态系统碳水循环新机制发现，生态过程模型开发，陆地生态系统碳水通量准确估算及预测的多重目标。
利用先进的观测技术和数值模拟手段，致力于理解大气环境的物理和化学过程，以及这些过程如何在全球范围内和特定区域内相互影响。借助卫星遥感、地面观测站、探空气球、飞机和无人机等多元化观测手段，获取大气环境中各类物理参数（温度、降水、云、风向和风速等）和化学成分（臭氧、细颗粒物、一氧化碳和挥发性有机物等）的高精度数据，建立污染物长时间序列数据集，深入分析这些变量的变化规律和相互作用机制，探究其与生态系统和气候变化之间的关系。利用全球大气化学传输模式（GEOS-Chem）、区域空气质量模式（WRF-Chem、CMAQ、CAMx）、地球系统模式（CESM）和大气扩散模式（HYSPLIT）等模拟工具，开展大气化学和地球系统数值模拟，探究空气污染与气候变化的成因、影响和趋势，为制定有效的环境保护政策和应对气候变化策略提供科学依据。
| 序号 | 项目成员 | 项目名称 | 课题类别 |
| 1 | 缪国芳，曾宏达，付仕佐，杨梦淼，王荣 | 山地生态系统全球变化关键参数近地面立体观测实验体系研发 | 重点研发项目课题 |
| 2 | 缪国芳 | 基于多尺度观测探索亚热带常绿阔叶林日光诱导叶绿素荧光与光合作用的关联机制 | 面上项目 |
| 3 | 商荣 | 融合高分辨率遥感数据的森林扰动近实时监测算法研究 | 青年科学基金项目 |
| 4 | 王荣 | 基于多植被指数模型的常绿针叶林叶面积指数和叶绿素含量协同反演 | 青年科学基金项目 |
| 5 | 王军 | 针叶反射率和透射率新型观测技术及其应用研究 | 青年科学基金项目 |
| 6 | 陈志雄 | “风云四号”静止卫星闪电资料同化方法的研究 | 青年科学基金项目 |
| 7 | 付仕佐 | 中国东南部丘陵地形对浅积云发生发展的影响 | 青年科学基金项目 |
| 8 | 许明珠 | 亚热带阔叶林叶面积指数和叶片叶绿素含量遥感反演研究 | 中国博士后科学基金第69批面上资助二等 |
| 9 | 汪洋 | 基于风云四号静止卫星AGRI的气溶胶参数日变化特征反演算法研究 | 国家自然科学基金项目 |
| 10 | 程叙耕 | 赤道中东太平洋海温对冬季中国南方空气污染年际变化的调制作用 | 福建省中青年教师教育科研项目 |
| 11 | 程志强 | 基于无人机高光谱数据的山地天然林叶面积指数反演研究 | 福建省自然科学基金 |
| 12 | 商荣 | 基于Landsat数据的森林扰动后碳汇恢复力评估与分析：以福建龙岩为例 | 福建省自然科学基金青创项目 |
| 13 | 程叙耕 | 福建省不同季节近地面臭氧超标事件中外源传输贡献的研究 | 福建省自然科学基金计划面上项目 |
| 14 | 付仕佐 | 福建省非台风强降水的环流形势和时空分布特征 | 福建省自然科学基金项目 |
| 15 | 汪洋 | 基于多源卫星数据的长时序气溶胶气候数据集重构研究 | 福建省自然科学基金面上项目 |
| 16 | 程志强 | 三明站山地近地面立体观测及高频次无人机观测实验 | 国家重点研发计划子课题 |
| 17 | 程志强 | 基于无人机技术和GOST2模型的山地森林叶面积指数反演研究 | 福建省科技厅公益类项目 |
| 18 | 商荣，曾宏达 | 基于 InTEC 模型的福建省森林碳汇计算与预测 | 福建省林业科技项目子课题 |
| 19 | 商荣 | 基于林龄结构的福建森林固碳潜力预测及风险评估 | 福建师范大学碳中和研究院开放基金项目 |
| 20 | 许明珠 | 基于多光谱遥感的落叶阔叶林不同季节叶片叶绿素含量反演研究 | 青年科学基金项目 |
| 21 | 束蕾 | 基于多源数据和碳同化系统的中国陆地生态系统碳汇估算研究 | 青年科学基金项目 |
| 22 | 束蕾 | 基于卫星植被遥感产品的陆地碳汇估算改进研究 | 福建师范大学中青年教师培育计划项目 |
| 23 | 杨梦淼 | 武夷山国家公园流域蒸散发演变趋势对气候变化和植被变绿的响应机制研究 | 福建省科技厅公益类项目 |
| 24 | 鄢予霖 | 亚热带常绿阔叶林植物功能性状与环境要素对叶片至冠层光能利用率的驱动机制 | 中国博士后科学基金面上项目 |
2026年部分论文展示：
Zhang, X., Wang, Y., Xin, J., Fan, M., Jiang, X., Jia, H., Xu, L., Cheng, Z., Zhu, Y., 2026. Daily seamless reconstruction of aerosol optical depth product from a single satellite data source using the novel stream method. Geo-spatial Information Science 0, 1–22. Doi:10.1080/10095020.2025.2603729
Lu, Y., Yang, M.*, Liu, J., Pan, J., Chen, J.M., Miao, G., Blanken, P.D., Scott, R.L., Wang, R. and Yan, Y., 2026. Atmospheric dryness dominates diurnal carbon–water coupling in mid‐latitude forests. Ecological Applications, 36(1), p.e70189, Doi:10.1002/eap.3056
杨博文，曾宏达*，方艺辉，张惠光，熊景峰，张晓萍. 空地 LiDAR 融合对杉木人工林地上生物量估算精度的影响. 亚热带资源与环境学报, 2026, 21(1): 165-175. Doi: 10.19687/j.cnki.1673-7105.2026.01.018
2025年部分论文展示：
Chen Zhixiong, Liu Jane, Qie Xiushu, et al. 2025. Anomalous vertical structure of tropospheric ozone due to stratospheric intrusions and convective transport. Geophysical Research Letters. Doi:10.1029/2025GL117160
Chen Zhixiong, Liu Jane, Qie Xiushu, et al. 2025. Convective injection into stratospheric intrusions alters the tropopause chemical structure. Science Bulletin.Doi:10.1016/j.scib.2024.12.053
Fu, S.*, J. M. Chen*, J. Zhang, Z. Cheng, G. Miao, R. Wang, M. Yang, and H. Zeng, 2025: Flux footprints over a forested hill derived from a Lagrangian particle model coupled into a large-eddy simulation model. J. Geophys. Res.: Atmos., 130, e2025JD043591. Doi:10.1029/2025JD043591
Fu, S.*, Y. Wang, G. Miao*, R. Wang, H. Zeng, B. Yang, and J. M. Chen*, 2025: Diurnal variations of below-canopy CO2 concentration in a subtropical forested valley. Earth Space Sci., 12, e2024EA003864.Doi:10.1029/2024EA003864
Gong, M., S. Fu*, J. Liu*, and X. Deng, 2025: A modeling study of the topographic effects on shallow convective clouds. Earth Space Sci., 12, e2024EA003867. Doi:10.1029/2024EA003867
Li, P., Shang, R.*, Chen, J., Zhang, H. G., Zhang, X. P., Zhao, G. S., Zeng, H. D. (2025). Species-specific relationships between net primary productivity and forest age for subtropical China. Biogeosciences, 22(20), 5705-5721. Doi: 10.5194/bg-22-5705-2025
Liang, L. J., Shang, R.*, Chen, J. M., Xu, M. Z., & Zeng, H. D. (2025). Improved estimation of the underestimated GEDI footprint LAI in dense forests. Geo-Spatial Information Science, 28(1), 49–64. Doi: 10.1080/10095020.2023.2286377
Liang, Y., Shang, R.*, Chen, J. M., Lin, X., Li, P., Yang, Z., Chen, Y. (2025). Comprehensive comparison and validation of forest disturbance monitoring algorithms based on Landsat time series in China. Remote Sensing, 17(4), 680. Doi: 10.3390/rs17040680
Shang, R., Lin, X., Chen, J. M., Liang, Y., Fang, K., Xu, M., Hu, Z. (2025). China's annual forest age dataset at a 30 m spatial resolution from 1986 to 2022. Earth Syst. Sci. Data, 17(7), 3219-3241. Doi: 10.5194/essd-17-3219-2025
Wang, D., Shu, L.*, Jin, J.*, and Chen, J. M., 2025. Spatiotemporal variations and drivers of runoff in China based on a high-quality continuous runoff dataset. Journal of Hydrology: Regional Studies, Doi: j.ejrh.2025.102398
Cao, J., Wang, R.*, Chen, J.M*., Yang, M., Cheng, Z., & Miao, G. (2025). Quantifying Topographic Effects on Carbon and Water Fluxes Over Mountainous Areas, 130, e2025JG008878: Doi:10.1029/2025JG008878
Wu, S., Wang, Y., Zhang, L., Jia, H., Zhang, X., Xu, L., Dai, Y., 2025. A Random Forest-Based CO2 Profile Emulator for Real-Time Prior Profile Generation in TanSat XCO2 Retrieval. Remote Sensing 17, 2764. Doi:10.3390/rs17162764
张鲜梅, 汪洋, 江兴霞, 贾衡. 卫星气溶胶光学厚度无缝数据集的重构方法[J]. 亚热带资源与环境学报, 2025, 20 (01): 164-174.
Yang, M., Cao, G., Zhang, G. J. *, Wang, Y., 2025, Understanding Moisture Variations in Madden-Julian Oscillation in NCAR CAM5.3. Journal of Climate, 38, 3953-3970, Doi:10.1175/JCLI-D-24-0060.1
Yan, Y*., Li, B., Dechant, B., Xu, M., Luo, X., Qu, S., ... & Chen, J*. (2025). Plant traits shape global spatiotemporal variations in photosynthetic efficiency. Nature Plants, 11, 924–934. Doi:10.1038/s41477-025-01958-2
2024年部分论文展示：
Chen Zhixiong, Liu Jane, Qie Xiushu, et al. 2024. Stratospheric influence on surface ozone pollution in China. Nature Communications. Doi：10.1038/s41467-024-48406-x
Chen Zhixiong, Liu Jane, Qie Xiushu, et al. 2024. Concurrence of high dust aerosol and stratosphere-intrudedozone pollution in super sandstorms. Science Bulletin. Doi:10.1016/j.scib.2024.04.046
Jiang, X.; Cheng, X.; Liu, J.; Chen, Z.; Wang, H.; Deng, H.; Hu, J.; Jiang, Y.; Yang, M.; Gai, C.; et al. Comparison of Surface Ozone Variability in Mountainous Forest Areas and Lowland Urban Areas in Southeast China. Atmosphere 2024, 15, 519. Doi:10.3390/atmos15050519
Z. Q. Cheng, J. M. Chen, Z. X. Guo, G. F. Miao, H. D. Zeng, R. Wang, Improving UAV-Based LAI Estimation for Forests Over Complex Terrain by Reducing Topographic Effects on Multispectral Reflectance, IEEE Transactions on Geoscience and Remote Sensing,, vol. 62, 2024, Art no. 4400119, Doi: 10.1109/TGRS.2023.3337177.
Zheng, Z., Zhuang, L., Miao, G.*, Liu, H., Cheng, Z., Li, W., Shang, R., Gong, P., & Chen, J. M. (2024). Elevational distribution of forests and its spatiotemporal dynamics in subtropical China from 2000 to 2019. Science China Earth Sciences, 67(8), 2563–2582. Doi:10.1007/s11430-023-1345-9
郑振灿, 庄留文, 缪国芳*, 刘涵, 程志强, 李纹宇, 商荣, 宫鹏, & 陈镜明. (2024). 中国亚热带地区2000-2019年森林海拔分布特征及其时空动态. 中国科学：地球科学, 54(8), 2604–2624. Doi:10.1360/sste-2023-0106
Li, P., Shang, R.*, Chen, J. M., Xu, M., Lin, X., Yu, G., Xu, L. (2024). Evaluation of five models for constructing forest NPP–age relationships in China based on 3121 field survey samples. Biogeosciences, 21(2), 625-639. Doi: 10.5194/bg-21-625-2024
Liu, S.#, Shu, L.#, Zhu, L.*, Song, Y., Sun, W., Chen, Y., Wang, D., Pu, D., Li, X., Sun, S., Li, J., Zuo, X., Fu, W., Yang, X., and Fu, T.-M., 2024. Underappreciated emission spikes from power plants during heatwaves observed from space: Case studies in India and China. Earth's Future, Doi: 2023EF003937
Shu, L., Wang, T.*, Li, M., Xie, M., and Liu, J., 2024. Optimizing emission control strategies for mitigating PM2.5 and O3 pollution: A case study in the Yangtze River Delta region of eastern China. Atmospheric Environment, Doi: j.atmosenv.2023.120288
Shu, L., Wang, T.*, Liu, J., Chen, Z., Wu, H., Qu, Y., Li, M., and Xie, M., 2024. Elucidating drivers of severe wintertime fine particulate matter pollution episodes in the Yangtze River Delta region of eastern China. Science of The Total Environment, Doi: j.scitotenv.2023.169546
Li, B., Wang, R.*, & Chen, J.M. (2024). Responses of phenology to preseason drought and soil temperature for different land cover types on the Mongolian Plateau. Science of the total environment, 171895: Doi:10.1016/j.scitotenv.2024.171895
Xu, M., Chen, J.M.*, Liu, Yihong, Wang, R., Shang, R., Leng, J., Shu, L., Liu, J., Liu, R., Liu, Yang, Yang, R., Yan, Y., 2024. Comparative assessment of leaf photosynthetic capacity datasets for estimating terrestrial gross primary productivity. Science of the Total Environment. 926. Doi:10.1016/j.scitotenv.2024.171400
Chen, Z., Liu, J., Qie, X., Cheng, X., Yang, M., Shu, L. and Zang, Z., 2024. Stratospheric influence on surface ozone pollution in China. Nature Communications, 15(1), p.4064, Doi:10.1038/s41467-024-48450-4
He, J., Yang, M.*, Liu, J., Chen, J.M. and Xie, X., 2024. Impacts of vegetation greening and climate change on trend and interannual variability in vegetation productivity in the Wuyi Mountain region. Geo-spatial Information Science, pp.1-22, Doi:10.1080/10095020.2024.2346452
Chen, Z., Liu, J., Qie, X., Cheng, X., Yang, M., Shu, L. and Chen, J.M., 2024. Concurrence of high dust aerosol and stratosphere-intruded ozone pollution in super sandstorms. Science bulletin, pp.S2095-9273, Doi:10.1016/j.scib.2024.03.047
Yan, Y., Ryu, Y*., Li, B., Dechant, B., Zaheer, S. A., & Kang, M. (2024). A multi-objective optimization approach to simultaneously halve water consumption, CH4, and N2O emissions while maintaining rice yield. Agricultural and Forest Meteorology, 344, 109785. Doi:10.1016/j.agrformet.2023.109785
Li, Y., Zeng, H., * Xiong, J., Miao, G. Influence of Topography on UAV LiDAR-Based LAI Estimation in Subtropical Mountainous Secondary Broadleaf Forests. Forests 2024, 15, 17. Doi:10.3390/f15010017
熊景峰，曾宏达*，谢锦升，李晓杰，陈镜明. 基于多时相无人机LiDAR 的杉木林地上生物量季节变化初探. 遥感学报， 2024, 28（12）： 3094-3106 Doi: 10.11834/jrs.20232498
2023年部分论文展示：
Chen Zhixiong, Liu Jane, Xugeng Cheng, et al. 2023. Stratospheric influences on surface ozone increase during the COVID-19 lockdown over northern China. npj Climate and Atmospheric Science. Doi：10.1038/s41612-023-00406-2
Chen Zhixiong, Liu Jane, Xugeng Cheng, et al. 2023. Distinct seasonality in vertical variations of tropospheric ozone over coastal regions of southern China. Science of the Total Environment. Doi：10.1016/j.scitotenv.2023.162423
Cheng X, Liu J, Zhao T, et al. Impact of the Tibetan Topography on Downwind Spatial Distribution of FineParticulate Matter in Winter[J]. Journal of Climate, 2023, 36(6): 1561-1574. Doi: 10.1175/JCLI-D-22-0232.1
Xu, G., S. Fu*, J. Liu, R. Shang, and Y. Luo 2023: A satellite observational study of topographical effects on daytime shallow convective clouds. Remote Sens., 15, 5542.Doi:10.3390/rs15235542
Lin, X., Shang, R.*, Chen, J. M., Zhao, G., Zhang, X., Huang, Y., . . . Jiao, W. (2023). High-resolution forest age mapping based on forest height maps derived from GEDI and ICESat-2 space-borne lidar data. Agricultural and Forest Meteorology, 339, 109592. Doi: 10.1016/j.agrformet.2023.109592
Qiu, D., Liang, Y., Shang, R.*, & Chen, J. M. (2023). Improving landtrendr forest disturbance mapping in China using multi-season observations and multispectral indices. Remote Sensing, 15(9), 2381. Doi: 10.3390/rs15092381
Shang, R., Chen, J. M., Xu, M., Lin, X., Li, P., Yu, G., Liu, L. (2023). China’s current forest age structure will lead to weakened carbon sinks in the near future. The Innovation, 4(6), 10515. Doi: 10.1016/j.xinn.2023.100515
Xu, M., Shang, R.*, Chen, J. M., & Zeng, L. (2023). LACC2. 0: Improving the LACC algorithm for reconstructing satellite-derived time series of vegetation biochemical parameters. Remote Sensing, 15(13), 3277. Doi: 10.3390/rs15133277
Shu, L., Zhu, L.*, Bak, J., Zoogman, P., Han, H., Liu, S., Li, X., Sun, S., Li, J., Chen, Y., Pu, D., Zuo, X., Fu, W., Yang, X., and Fu, T.-M., 2023. Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations. Atmospheric Chemistry and Physics, Doi: acp-23-3731-2023
Wang, R., Chen, J.M., He, L., Liu, J., Shang, J., Liu, J., & Dong, T. (2023). A novel semi-empirical model for crop leaf area index retrieval using SAR co- and cross-polarizations. Remote Sensing of Environment, 296, 113727: Doi:10.1016/j.rse.2023.113727
Guo, X., Wang, R.*, Chen, J.M., Cheng, Z., Zeng, H., Miao, G., Huang, Z., Guo, Z., Cao, J., & Niu, J. (2023). Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data. Geo-spatial Information Science, 1-14Doi: 10.1080/10095020.2023.2251540
Wang, Y., Zhang, X., Zhou, P., Fan, M., 2023. Empirical Correlation Weighting (ECW) Spatial Interpolation Method for Satellite Aerosol Optical Depth Products by MODIS AOD over Northern China in 2016. Remote Sensing 15, 4462. Doi:10.3390/rs15184462
Zhou, P., Wang, Y., Liu, J., Xu, L., Chen, X., Zhang, L., 2023. Difference between global and regional aerosol model classifications and associated implications for spaceborne aerosol optical depth retrieval. Atmos. Environ. 300, 119674. Doi:10.1016/j.atmosenv.2023.119674
陈翔, 汪洋, 周佩, 张丽坤, 徐玲琳. 中国地区MODIS Terra/Aqua MAIAC气溶胶光学厚度（AOD）产品反演误差对比分析[J]. 环境科学学报, 2023, 43 (07): 220-232.
张丽坤, 潘一凡, 赵楚雯, 邱国梁, 周佩, 陈翔, 汪洋. 基于随机森林算法的华北平原灰霾区域识别研究[J]. 遥感技术与应用, 2023, 38 (03): 752-763.
Xu, M., Shang, R.*, Chen, J.M., Zeng, L., 2023. LACC2.0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation Biochemical Parameters. Remote Sensing. 15, 3277. Doi:10.3390/rs15133277
Yang, M., Liu, J. *, Wang, Y., Chen, J. M., Cui, Z., Zhang, Z., Chen, Z. and Cheng, X., 2023, Prominent Impact of Diurnal Rainfall Variations on Evapotranspiration and Gross Primary Productivity in Forests over Low Latitudes. Agricultural and Forest Meteorology, 342, 109740, Doi:10.1016/j.agrformet.2023.109740
Pan, J., Liu, J., Yang, M. * and Wang, R., 2023. Meteorological Influences on Short-Term Carbon-Water Relationships in Two Forests in Subtropical China. Atmosphere, 14(3), p.457, Doi:10.3390/atmos14030457
Yan, Y., Ryu, Y*., Dechant, B., Li, B., & Kim, J. (2023). Dark respiration explains nocturnal stomatal conductance in rice regardless of drought and nutrient stress. Plant, Cell & Environment, 46(12), 3748-3759. Doi:10.1111/pce.14710
Xiong, J., Zeng, H., * Cai, G., Li, Y., Chen, J.M., Miao, G. Crown Information Extraction and Annual Growth Estimation of a Chinese Fir Plantation Based on Unmanned Aerial Vehicle–Light Detection and Ranging. Remote Sensing. 2023, 15, 3869. Doi:10.3390/rs15153869
2022年部分论文展示：
Chen Zhixiong, Liu Jane, Qie Xiushu, et al. 2022. Transport of substantial stratospheric ozone to the surface by a dying typhoon and shallow convection. Atmospheric Chemistry and Physics. Doi：10.5194/acp-22-8221-2022
Ge C, Liu J, Cheng X, et al. Impact of regional transport on high ozone episodes in southeast coastal regions of China[J]. Atmospheric Pollution Research, 2022, 13(8): 101497. Doi：10.1016/j.apr.2022.101497
Fu, S.*, R. Rotunno, and H. Xue, 2022: Convective updrafts near sea-breeze fronts. Atmos. Chem. Phys., 22, 7727-7738.Doi:10.5194/acp-22-7727-2022
Miao, G.*, Noormets, A., Gavazzi, M., Mitra, B., Domec, J., Sun, G., McNulty, S., & King, J. S. (2022). Beyond carbon flux partitioning: Carbon allocation and nonstructural carbon dynamics inferred from continuous fluxes. Ecological Applications, 32(7), e2655.Doi:10.1002/eap.2655
Shang, R., Zhu, Z., Zhang, J., Qiu, S., Yang, Z., Li, T., & Yang, X. (2022). Near-real-time monitoring of land disturbance with harmonized Landsats 7–8 and Sentinel-2 data. Remote Sensing of Environment, 278, 113073. Doi: 10.1016/j.rse.2022.113073
Chen, J.M., Wang, R., Liu, Y., He, L., Croft, H., Luo, X., Wang, H., Smith, N.G., Keenan, T.F., Prentice, I.C., Zhang, Y., Ju, W., & Dong, N. (2022). Global Datasets of Leaf Photosynthetic Capacity for Ecological and Earth System Research. Earth Syst. Sci. Data Discuss., 2022, 1-26, Doi:10.5194/essd-2022-136
周佩, 汪洋, 徐玲琳, 程志强, 盖宸德, 庄留文. 基于AERONET数据的气溶胶光学特性分析[J]. 遥感学报, 2022, 26 (05): 953-970.
Xu, M., Liu, R.*, Chen, J.M.*, Liu, Y., Wolanin, A., Croft, H., He, L., Shang, R., Ju, W., Zhang, Y., He, Y., Wang, R., 2022. A 21-year time-series of global leaf chlorophyll content maps from MODIS imagery. IEEE Transactions on Geoscience and Remote Sensing. 60, 1-13.Doi:10.1109/TGRS.2022.3204185
Xu, M., Liu, R.*, Chen, J.M.*, Shang, R., Liu, Y., Qi, L., Croft, H., Ju, W., Zhang, Y., He, Y., Qiu, F., Li, J., Lin, Q., 2022. Retrieving global leaf chlorophyll content from MERIS data using a neural network method. ISPRS Journal of Photogrammetry and Remote Sensing. 192, 66–82. Doi:10.1016/J.ISPRSJPRS.2022.08.003
Cui, Z., Wang, Y., Zhang, G.J. *, Yang, M., Liu, J. and Wei, L., 2022. Effects of Improved Simulation of Precipitation on Evapotranspiration and Its Partitioning Over Land. Geophysical Research Letters, 49(5), p.e2021GL097353, Doi:10.1029/2021GL097353
2021年以及往前年份部分论文展示：
Chen Zhixiong, Liu Jane, Xugeng Cheng, et al. 2021. Positive and negative influences of typhoons on tropospheric ozone over southern China. Atmospheric Chemistry and Physics.Doi：10.5194/acp-21-16911-2021, 2021.
Fu, S.*, R. Rotunno, J. Chen, X. Deng, and H. Xue, 2021: A large-eddy simulation study of deep-convection initiation through the collision of two sea-breeze fronts. Atmos. Chem. Phys., 21, 9289–9308.Doi:10.5194/acp-21-9289-2021
Zhang, J., Shang, R.*, Rittenhouse, C., Witharana, C., & Zhu, Z. (2021). Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series. Science of Remote Sensing, 4, 100023. Doi: 10.1016/j.srs.2021.100023
Yan, Y., & Ryu, Y*. (2021). Exploring Google Street View with deep learning for crop type mapping. ISPRS Journal of Photogrammetry and Remote Sensing, 171, 278-296. Doi:10.1016/j.isprsjprs.2020.11.022
Yan, Y., Jeong, S.*, Park, C. E., Mueller, N. D., Piao, S., Park, H., ... & Zheng, C*. (2021). Effects of extreme temperature on China’s tea production. Environmental Research Letters, 16(4), 044040. Doi:10.1088/1748-9326/abede6
Cheng, X., Liu, J., Zhao, T., Gong, S., et al. (2020). A teleconnection between sea surface temperature in the central and eastern Pacific and wintertime haze variations in southern China. Theoretical and Applied Climatology, 2020, 1-11. Doi：10.1007/s00704-020-03434-7
Cheng Z , Meng J , Shang J , et al. Generating Time-Series LAI Estimates of Maize Using Combined Methods Based on Multispectral UAV Observations and WOFOST Model[J]. Sensors, 2020, 20(6006):6006. Doi: 10.3390/s20216006
程志强，蒙继华，纪甫江，等. 基于WOFOST模型与UAV数据的玉米生长后期地上生物量估算[J], 遥感学报, 2020,1007-4619, 11-1403-16. Doi: 10.11834/jrs.20200069
Miao, G.*, Guan, K.*, Suyker, A. E., Yang, X., Arkebauer, T. J., Walter‐Shea, E. A., Kimm, H., Hmimina, G. Y., Gamon, J. A., Franz, T. E., Frankenberg, C., Berry, J. A., & Wu, G. (2020). Varying Contributions of Drivers to the Relationship Between Canopy Photosynthesis and Far‐Red Sun‐Induced Fluorescence for Two Maize Sites at Different Temporal Scales. Journal of Geophysical Research: Biogeosciences, 125(2), e2019JG005051. Doi:10.1029/2019JG005051
Li, W., Niu, Z., Shang, R.*, Qin, Y., Wang, L., & Chen, H. (2020). High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data. International Journal of Applied Earth Observation and Geoinformation, 92, 102163. Doi: 10.1016/j.jag.2020.102163
Wang, Y., Chen, L., Xin, J., Wang, X., 2020. Impact of the Dust Aerosol Model on the VIIRS Aerosol Optical Depth (AOD) Product across China. Remote Sensing 12, 991. Doi:10.3390/rs12060991
Yang, M., and Yu. Y. *, 2016, Attribution of variations in the quasi-biennial oscillation period from the duration of easterly and westerly phases. Climate Dynamics 47.5-6: 1943-1959, Doi:10.1007/s00382-015-2942-8
Gai C , Ying C , Cheng X ,et al.Characteristics and sources of volatile organic compounds and their impacts on ozone formation in a coastal city of southeastern China[J].Atmospheric Pollution Research, 2010, 16(10):13.Doi:10.1016/j.apr.2025.102632
（部分论文展示...持续更新中）