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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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Chen, Chaoqing, Yunrun He, Jialong Zhang*, Dongfan Xu, Dongyang Han, Yi Liao, Libin Luo, Chenkai Teng, and Tangyan Yin. 2023. "Estimation of Above-Ground Biomass for Pinus densata Using Multi-Source Time Series in Shangri-La Considering Seasonal Effects" Forests 14, no. 9: 1747.
Liao, Yi, Jialong Zhang*, Rui Bao, Dongfan Xu, and Dongyang Han. 2022. "Modelling the Dynamics of Carbon Storages for Pinus densata Using Landsat Images in Shangri-La Considering Topographic Factors" Remote Sensing 14, no. 24: 6244.
Xu, Dongfan, Jialong Zhang*, Rui Bao, Yi Liao, Dongyang Han, Qianwei Liu, and Tao Cheng. 2022. "Temporal and Spatial Variation of Aboveground Biomass of Pinus densata and Its Drivers in Shangri-La, CHINA" International Journal of Environmental Research and Public Health 19(1):1-17.
Bao Rui, Zhang Jialong*, Lu Chi, et al. Estimating above-ground biomass of Pinus densata Mast. using best slope temporal segmentation and Landsat time series[J]. Journal of Applied Remote Sensing. 2021,15,(2):024507.
Zhang Jialong*, Lu Chi, Xu Hui, et al. Estimating aboveground biomass of Pinus densata-dominated forests using Landsat time series and permanent sample plot data[J]. Journal of Forestry Research. 2019,30,(5):1689-1706.
Cheng Tao, Zhang Jialong*, Zheng Xinyan, et al. Land cover's refined classification based on multi source of remote sensing information fusion: a case study of national geographic conditions census in China[C]//10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Remote Sensing Image Processing, Geographic Information Systems, and Other Applications. 2018.
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