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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.

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林学2022级2班同学到云南省林业调查规划院参观学习

【论文分享】结合哨兵-1 和哨兵-2 影像的森林地上碳储量估测的不确定性分析

【论文分享】融合Ward聚类与空间相关泊松圆盘抽样以提高森林地上碳储量估测精度

【论文分享】开发一种使用遥感和气候数据估测森林树种高山松地上碳储量的方法

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