Hasil Pencarian - Luming Fang

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  1. 1
    Synergistic Use of Sentinel-1 and Sentinel-2 Based on Different Preprocessing for Predicting Forest Aboveground Biomass

    Synergistic Use of Sentinel-1 and Sentinel-2 Based on Different Preprocessing for Predicting Forest Aboveground Biomass oleh Gengsheng Fang, Hangyuan Yu, Luming Fang, Xinyu Zheng

    Diterbitkan 2023-08-01
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  2. 2
    Comparison of Multiple Machine Learning Models for Estimating the Forest Growing Stock in Large-Scale Forests Using Multi-Source Data

    Comparison of Multiple Machine Learning Models for Estimating the Forest Growing Stock in Large-Scale Forests Using Multi-Source Data oleh Huajian Huang, Dasheng Wu, Luming Fang, Xinyu Zheng

    Diterbitkan 2022-09-01
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  3. 3
    Comparison of Variable Selection Methods among Dominant Tree Species in Different Regions on Forest Stock Volume Estimation

    Comparison of Variable Selection Methods among Dominant Tree Species in Different Regions on Forest Stock Volume Estimation oleh Gengsheng Fang, Luming Fang, Laibang Yang, Dasheng Wu

    Diterbitkan 2022-05-01
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  4. 4
    An Integrated Method for Coding Trees, Measuring Tree Diameter, and Estimating Tree Positions

    An Integrated Method for Coding Trees, Measuring Tree Diameter, and Estimating Tree Positions oleh Linhao Sun, Luming Fang, Yuhui Weng, Siqing Zheng

    Diterbitkan 2019-12-01
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  5. 5
    Texture Features Derived from Sentinel-2 Vegetation Indices for Estimating and Mapping Forest Growing Stock Volume

    Texture Features Derived from Sentinel-2 Vegetation Indices for Estimating and Mapping Forest Growing Stock Volume oleh Gengsheng Fang, Xiaobing He, Yuhui Weng, Luming Fang

    Diterbitkan 2023-05-01
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  6. 6
    Development of a Real-Time Continuous Measurement System for Tree Radial Direction

    Development of a Real-Time Continuous Measurement System for Tree Radial Direction oleh Qianjia Zhang, Yuanjing Sun, Xinyu Zheng, Shusheng Zhang, Luming Fang

    Diterbitkan 2023-09-01
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  7. 7
    A Levenberg–Marquardt Backpropagation Neural Network for Predicting Forest Growing Stock Based on the Least-Squares Equation Fitting Parameters

    A Levenberg–Marquardt Backpropagation Neural Network for Predicting Forest Growing Stock Based on the Least-Squares Equation Fitting Parameters oleh Ruyi Zhou, Dasheng Wu, Luming Fang, Aijun Xu, Xiongwei Lou

    Diterbitkan 2018-12-01
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  8. 8
    Development of Measuring Device for Diameter at Breast Height of Trees

    Development of Measuring Device for Diameter at Breast Height of Trees oleh Shangyang Li, Luming Fang, Yuanjing Sun, Lei Xia, Xiongwei Lou

    Diterbitkan 2023-01-01
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  9. 9
    Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables

    Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables oleh Gengsheng Fang, Hao Xu, Sheng-I Yang, Xiongwei Lou, Luming Fang

    Diterbitkan 2023-07-01
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  10. 10
    Method and Device for Measuring the Diameter at Breast Height and Location of Trees in Sample Plots

    Method and Device for Measuring the Diameter at Breast Height and Location of Trees in Sample Plots oleh Shangyang Li, Xiaorong Chen, Yuanjing Sun, Chaihui Lv, Fangxing Yuan, Luming Fang

    Diterbitkan 2023-08-01
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  11. 11
    Landsat Data Based Prediction of Loblolly Pine Plantation Attributes in Western Gulf Region, USA

    Landsat Data Based Prediction of Loblolly Pine Plantation Attributes in Western Gulf Region, USA oleh Chongzhi Chen, Ke Wang, Luming Fang, Jason Grogan, Clinton Talmage, Yuhui Weng

    Diterbitkan 2022-09-01
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  12. 12
    An Optimized SIFT-OCT Algorithm for Stitching Aerial Images of a Loblolly Pine Plantation

    An Optimized SIFT-OCT Algorithm for Stitching Aerial Images of a Loblolly Pine Plantation oleh Tao Wu, I-Kuai Hung, Hao Xu, Laibang Yang, Yongzhong Wang, Luming Fang, Xiongwei Lou

    Diterbitkan 2022-09-01
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  13. 13
    Tree Height Estimation of Chinese Fir Forests Based on Geographically Weighted Regression and Forest Survey Data

    Tree Height Estimation of Chinese Fir Forests Based on Geographically Weighted Regression and Forest Survey Data oleh Xinyu Zheng, Hao Wang, Chen Dong, Xiongwei Lou, Dasheng Wu, Luming Fang, Dan Dai, Liuchang Xu, Xingyu Xue

    Diterbitkan 2024-07-01
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