（1）2023-2026海南省自然科学基金创新研究团队项目 森林生物多样性与地上生物量空地协同监测方法研究-以海南尖峰岭森林站为例

（2）2021-2024国家自然科学基金面上项目 基于高光谱与激光雷达的林冠物种与功能多样性遥

（3）2016-2021国家重点研发计划课题 基于多源遥感的生态参数标准化数据集构建 

（4）2016-2021 国家重点研发计划子课题 西南生态格局演变及驱动力分析 

（5）2017-2020 国家自然科学基金面上项目 基于激光雷达及外推模型的森林地上生物量遥感估算方法 

（6）2017-2019 中国科学院STS项目课题 全国生态参数数据生产与集成 

（7）2013-2015 国家自然科学基金青年项目 基于几何光学模型反演林冠郁闭度的普适性方法研究 

（8）2011-2015 中国科学院战略先导碳专项子课题 典型区地上生物量遥感监测与验证 

（1）学术论文

1.Zheng, Z., Schmid, B., Zeng Y.*, Schuman, M.C., Zhao, D., Schaepman, M.E., Morsdorf, F. Remotely sensed functional diversity and association with productivity in a subtropical forest. Remote Sensing of Environment, 2023, 290, 113530. 

2. Yi, K., Zhao, X., Zheng, Z., Zhao, D., Zeng, Y.* Trends of greening and browning in terrestrial vegetation in China from 2000 to 2020. Ecological Indicators, 2023, 154, 110587. 

3.Li, X., Zheng, Z., Xu, C., Zhao, P., Chen, J., Wu, J., Zhao, X., Mu, X., Zhao, D., Zeng Y.* Individual tree-based forest species diversity estimation by classification and clustering methods using UAV data. Frontiers in Ecology and Evolution, 2023, 11, 1139458.

4.Wu, J., Gao, W., Zheng, Z., Zhao, D., Zeng, Y. Study of human activity intensity from 2015 to 2020 based on remote sensing in Anhui Province, China. Remote Sensing, 2023, 15, 2029. 

5.Xu, C., Zhao, D., Zheng, Z., Zhao P., Chen, J., Li, X., Zhao, X., Zhao, Y., Liu, W., Wu, B., Zeng Y.*. Correction of UAV LiDAR-derived grassland canopy height based on scan angle. Frontiers in Plant Science, 2023, 14, 1108109. 

6.Zheng Z., Zeng Y.*, Schuman M.C., Jiang H., Schmid B., Schaepman M.E., Morsdorf F. Individual tree-based vs pixel-based approaches to mapping forest functional traits and diversity by remote sensing, International Journal of Applied Earth Observation and Geoinformation, 2022, 114: 103074. 

7.Xu C., Zeng Y.*, Zheng Z., Zhao D., Liu W., Ma Z., Wu B. Assessing the Impact of Soil on Species Diversity Estimation Based on UAV Imaging Spectroscopy in a Natural Alpine Steppe. Remote Sensing, 2022, 14, 671. 

8.Xu C., Liu W., Zhao D., Hao Y., Xia A., Yan N., Zeng Y. Remote Sensing-based Spatiotemporal Distribution of Grassland Aboveground Biomass and Its Response to Climate Change in the Hindu Kush Himalayan Region. Chinese Geographic Science, 2022, 32, 1-17. 

9.Zheng Z., Zeng Y.*, Schneider F.D., Zhao Y., Zhao D., Schmid B., Schaepman M.E., Morsdorf F. Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest, Remote Sensing of Environment, 2021, 252: 112170. 

10.Wu B., Tian F., Zhang M., Zeng H., Zeng Y. Cloud services with big data provide a solution for monitoring and tracking sustainable development goals. Geography and Sustainability, 2020, 1, 25-32. 

11.Gao W., Zeng Y.*, Zhao D., Wu B., Ren Z. Land Cover Changes and Drivers in the Water Source Area of the Middle Route of the South-to-North Water Diversion Project in China from 2000 to 2015. Chinese Geographical Science, 2020, 30, 115-126. 

12.Gao W., Zeng Y.*, Liu Y., Wu B. Human activity intensity assessment by remote sensing in the water source area of the Middle Route of the South-to-North Water Diversion Project in China. Sustainability, 2019, 11(20), 5670. 

13.Zhao Y., Zeng Y.*, Zheng Z., Dong W., Zhao D., Wu B., Zhao Q., Forest species diversity mapping using airborne LiDAR and hyperspectral data in a subtropical forest in China. Remote Sensing of Environment, 2018, 213, 101-114. 

14.Zhao Y., Zeng Y.*, Zhao D., Wu B., Zhao Q., The Optimal Leaf Biochemical Selection for Mapping Species Diversity Based on Imaging Spectroscopy. Remote Sensing, 2016, 8(3), 216. 

15.Yi K., Zeng Y.*, Wu B., Mapping and evaluation the process, pattern and potential of urban growth in China. Applied Geography, 2016, 71: 44-55. 

16.Li F., Zeng Y., Luo J., Ma R., Wu B., Modeling grassland aboveground biomass using a pure vegetation index. Ecological Indicators, 2016, 62: 279-288. 

17.Ouyang Z., Zheng H., Xiao Y., Polasky S., Liu J., Xu W., Wang Q., Zhang L., Xiao Y., Rao E., Jiang L., Lu F., Wang X., Yang G., Gong S., Wu B., Zeng Y., Yang W., Daily C. G., Improvements in ecosystem services from investments in natural capital. Science, 2016, 352 (6292): 1455-1459. 

18.Feng X., Fu B., Piao S., Wang S., Ciais, P. Zeng Z., Lu Y., Zeng Y., Wu B., Revegetation in China’s Loess Plateau is approaching sustainable water resource limits. Nature climate change, 2016, 6:1019-2024.

19.Duan Z., Zhao D., Zeng Y.*, Zhao Y., Wu B., Zhu J., Assessing and Correcting Topographic Effects on Forest Canopy Height Retrieval Using Airborne LiDAR Data. Sensors, 2015, 15(6): 12133-12155.

20.Zeng Y.*, E.Schaepman M., Wu B., G.P.W Clevers J., K.Bregt A., Quantitative forest canopy structure assessment using an inverted geometric-optical model and up-scaling. International Journal of Remote Sensing, 2009, 30(6):1385-1406. 

21.Zeng Y.*, E.Schaepman M., Wu B., G.P.W Clevers J., K.Bregt A., Scaling-based forest structural change detection using an inverted geometric-optical model in the Three Gorges region of China. Remote Sensing of Environment, 2008, 112(12):4261-4271.

22.Zeng Y.*, Huang J., Wu B., E.Schaepman M., Bruin S., G.P.W Clevers J., Comparison of the inversion of two canopy reflectance models inversion for mapping forest crown closure using imaging spectroscopy. Canadian Journal of Remote Sensing, 2008, 34(3):235-244. 

（2）专著（参与编写）

[1]《中国生态学学科40年发展回顾》，2020，科学出版社，第36章第二作者

[2]《海河流域治理工程生态效应遥感监测与评估》，2019，科学出版社，编委会成员

[3]《中国生态参数遥感监测方法及其变化格局》，2019，科学出版社，第二作者

[4]《中华人民共和国土地覆被地图集》（1：100万），2017，中国地图出版社，副主编

[5]《中国土地覆被》，2017，科学出版社，编委会成员