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Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes 期刊论文
FOREST ECOSYSTEMS, 2022, 卷号: 9
作者:  Yang, Qiuli;  Su, Yanjun;  Hu, Tianyu;  Jin, Shichao;  Liu, Xiaoqiang;  Niu, Chunyue;  Liu, Zhonghua;  Kelly, Maggi;  Wei, Jianxin;  Guo, Qinghua
Adobe PDF(4150Kb)  |  收藏  |  浏览/下载：22/0  |  提交时间：2024/03/07
Forest aboveground biomass  Drone LiDAR  Allometric relationship  Power law  Tree height  Vegetation index  
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 1
作者:  Hu, Tianyu;  Sun, Xiliang;  Su, Yanjun;  Guan, Hongcan;  Sun, Qianhui;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(8953Kb)  |  收藏  |  浏览/下载：97/0  |  提交时间：2023/02/24
unmanned aerial vehicle (UAV)  lidar  DJI Livox  low cost  forest inventory  
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 1
作者:  Kelly, Maggi;  Su, Yanjun;  Di Tommaso, Stefania;  Fry, Danny L.;  Collins, Brandon M.;  Stephens, Scott L.;  Guo, Qinghua
Adobe PDF(4708Kb)  |  收藏  |  浏览/下载：90/0  |  提交时间：2022/02/25
wildfire burn probability  crown fire  forest fuels  Sierra Nevada  Lidar  error  
Simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data 期刊论文
OPTICS EXPRESS, 2018, 卷号: 26, 期号: 10, 页码: A562-A578
作者:  Luo, Laiping;  Zhai, Qiuping;  Su, Yanjun;  Ma, Qin;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(4147Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2022/02/25
Evaluating the uncertainty of Landsat-derived vegetation indices in quantifying forest fuel treatments using bi-temporal LiDAR data 期刊论文
ECOLOGICAL INDICATORS, 2018, 卷号: 95, 页码: 298-310
作者:  Ma, Qin;  Su, Yanjun;  Luo, Laiping;  Li, Le;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(3094Kb)  |  收藏  |  浏览/下载：105/0  |  提交时间：2022/02/25
Forest fuel treatment  Vegetation index  Aboveground biomass  LiDAR  
Forest fuel treatment detection using multi-temporal airborne lidar data and high-resolution aerial imagery: a case study in the Sierra Nevada Mountains, California 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2016, 卷号: 37, 期号: 14, 页码: 3322-3345
作者:  Su, Yanjun;  Guo, Qinghua;  Collins, Brandon M.;  Fry, Danny L.;  Hu, Tianyu;  Kelly, Maggi
Adobe PDF(4413Kb)  |  收藏  |  浏览/下载：87/0  |  提交时间：2022/07/08