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Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 10
作者:  Hu, Tianyu;  Zhang, YingYing;  Su, Yanjun;  Zheng, Yi;  Lin, Guanghui;  Guo, Qinghua
Adobe PDF(3278Kb)  |  收藏  |  浏览/下载:91/0  |  提交时间:2022/03/01
mangrove  LiDAR  random forest  GLAS  aboveground biomass  
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 23
作者:  Yang, Qiuli;  Su, Yanjun;  Jin, Shichao;  Kelly, Maggi;  Hu, Tianyu;  Ma, Qin;  Li, Yumei;  Song, Shilin;  Zhang, Jing;  Xu, Guangcai;  Wei, Jianxin;  Guo, Qinghua
Adobe PDF(6208Kb)  |  收藏  |  浏览/下载:81/0  |  提交时间:2022/01/06
individual segmentation method  leaf area index  canopy cover  tree density  coefficient of variation of tree height  
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24
作者:  Guan, Hongcan;  Su, Yanjun;  Hu, Tianyu;  Chen, Jin;  Guo, Qinghua
Adobe PDF(10441Kb)  |  收藏  |  浏览/下载:96/0  |  提交时间:2022/01/06
spatiotemporal data fusion  object-based framework  similar pixel  vegetation mapping  
Artificial Mangrove Species Mapping Using Pleiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 2
作者:  Wang, Dezhi;  Wan, Bo;  Qiu, Penghua;  Su, Yanjun;  Guo, Qinghua;  Wu, Xincai
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载:96/0  |  提交时间:2022/02/25
artificial mangrove  object-based  pixel-based  decision tree  random forest  support vector machine  
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:79/0  |  提交时间:2022/02/25
wildfire burn probability  crown fire  forest fuels  Sierra Nevada  Lidar  error