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New Forest Aboveground Biomass Maps of China Integrating Multiple Datasets 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 15
作者:  Chang, Zhongbing;  Hobeichi, Sanaa;  Wang, Ying-Ping;  Tang, Xuli;  Abramowitz, Gab;  Chen, Yang;  Cao, Nannan;  Yu, Mengxiao;  Huang, Huabing;  Zhou, Guoyi;  Wang, Genxu;  Ma, Keping;  Du, Sheng;  Li, Shenggong;  Han, Shijie;  Ma, Youxin;  Wigneron, Jean-Pierre;  Fan, Lei;  Saatchi, Sassan S.;  Yan, Junhua
Adobe PDF(5095Kb)  |  收藏  |  浏览/下载：81/0  |  提交时间：2023/02/24
forest aboveground biomass  carbon stock  field measurements  remote sensing  China  
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：94/0  |  提交时间：2022/03/01
mangrove  LiDAR  random forest  GLAS  aboveground biomass  
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：98/0  |  提交时间：2022/02/25
artificial mangrove  object-based  pixel-based  decision tree  random forest  support vector machine  
Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 9
作者:  Wang, Dezhi;  Wan, Bo;  Qiu, Penghua;  Su, Yanjun;  Guo, Qinghua;  Wang, Run;  Sun, Fei;  Wu, Xincai
Adobe PDF(5307Kb)  |  收藏  |  浏览/下载：97/0  |  提交时间：2022/02/25
mangroves  species  Sentinel-2  Landsat 8  Pleiades-1  random forest  
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 8
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
Adobe PDF(4477Kb)  |  收藏  |  浏览/下载：81/0  |  提交时间：2022/02/25
canopy height  Random Forest  LiDAR  multi-source  vegetation type  location  scale