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学术成果

学术动态

Leyan X, Hongjian T, Zhang J, et al. Remote Sensing and Machine Learning Uncover Dominant Drivers of Carbon Sink Dynamics in Subtropical Mountain Ecosystems[J]. Remote Sensing, 2025, 17(16): 2843.

Peng M, Xu M, Zhang J*, et al. Mapping forest aboveground carbon stock of combined stratified sampling and RFRK model with mean annual temperature and precipitation[J]. Scientific Reports, 2025, 15(1): 17410.

Huang K, Teng C, Zhang J*, et al. A New Spatiotemporal Filtering Method to Reconstruct Landsat Time-Series for Improving Estimation Accuracy of Forest Aboveground Carbon Stock[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.

Yang K, Luo K, Zhang J*, et al. Estimating forest aboveground carbon sink based on landsat time series and its response to climate change[J]. Scientific Reports, 2025, 15(1): 589.

Qiu B, Li S, Cao J, et al. Uncertainty Analysis of Forest Aboveground Carbon Stock Estimation Combining Sentinel-1 and Sentinel-2 Images[J]. Forests, 2024, 15(12): 2134.

Xu M, Han X, Zhang J*, et al. Integrating ward’s clustering stratification and spatially correlated poisson disk sampling to enhance the accuracy of forest aboveground carbon stock estimation[J]. Forests, 2024, 15(12): 2111.

Qiu, B. , Li, S. , Cao, J. , Zhang, J. , Yang, K. , & Luo, K. , et al. (2024). Uncertainty analysis of forest aboveground carbon stock estimation combining sentinel-1 and sentinel-2 images. Forests (19994907), 15(12)

Xu M, Han X, Zhang J, Huang K, Peng M, Qiu B, Yang K. Integrating Ward’s Clustering Stratification and Spatially Correlated Poisson Disk Sampling to Enhance the Accuracy of Forest Aboveground Carbon Stock Estimation. Forests. 2024; 15(12):2111.

Huang, Kai , et al. "A New Spatiotemporal Filtering Method to Reconstruct Landsat Time-Series for Improving Estimation Accuracy of Forest Aboveground Carbon Stock." IEEE journal of selected topics in applied earth observations and remote sensing (2025):18.

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课题组留学生王乐林参加第二届澜湄流域林业大学校长论坛
2025第十届中国林业学术大会
《Nature》追问：人工智能会让学生更聪明，还是会完全阻止他们思考？

林学2022级2班同学到云南省林业调查规划院参观学习

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