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Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing 期刊论文
CROP JOURNAL, 2022, 卷号: 10, 期号: 5, 页码: 1334-1345
作者:  Li, Qing;  Jin, Shichao;  Zang, Jingrong;  Wang, Xiao;  Sun, Zhuangzhuang;  Li, Ziyu;  Xu, Shan;  Ma, Qin;  Su, Yanjun;  Guo, Qinghua;  Jiang, Dong
Adobe PDF(3253Kb)  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/07
LiDAR  Multispectral  Yield  Phenotype  Hyper-temporal  
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：14/0  |  提交时间：2024/03/07
Forest aboveground biomass  Drone LiDAR  Allometric relationship  Power law  Tree height  Vegetation index  
An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 22
作者:  Sun, Fei;  Fang, Fang;  Wang, Run;  Wan, Bo;  Guo, Qinghua;  Li, Hong;  Wu, Xincai
Adobe PDF(5707Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2022/03/01
image classification  class imbalance  impartial semi-supervised learning strategy (ISS)  extreme gradient boosting (XGB)  very-high-resolution (VHR)  
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：90/0  |  提交时间：2022/03/01
mangrove  LiDAR  random forest  GLAS  aboveground biomass  
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level 期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:  Jin, Shichao;  Su, Yanjun;  Song, Shilin;  Xu, Kexin;  Hu, Tianyu;  Yang, Qiuli;  Wu, Fangfang;  Xu, Guangcai;  Ma, Qin;  Guan, Hongcan;  Pang, Shuxin;  Li, Yumei;  Guo, Qinghua
Adobe PDF(4774Kb)  |  收藏  |  浏览/下载：92/0  |  提交时间：2022/03/01
Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture  
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery 期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 85
作者:  Wang, Dezhi;  Wan, Bo;  Liu, Jing;  Su, Yanjun;  Guo, Qinghua;  Qiu, Penghua;  Wu, Xincai
Adobe PDF(4656Kb)  |  收藏  |  浏览/下载：113/0  |  提交时间：2022/03/01
Mangroves  Aboveground biomass  UAV-LiDAR  Sentinel-2  Random forest  
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
作者:  Xu, Kexin;  Su, Yanjun;  Liu, Jin;  Hu, Tianyu;  Jin, Shichao;  Ma, Qin;  Zhai, Qiuping;  Wang, Rui;  Zhang, Jing;  Li, Yumei;  Liu, Hon An;  Guo, Qinghua
Adobe PDF(4794Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 7
作者:  Sun, Fei;  Wang, Run;  Wan, Bo;  Su, Yanjun;  Guo, Qinghua;  Huang, Youxin;  Wu, Xincai
Adobe PDF(11880Kb)  |  收藏  |  浏览/下载：83/0  |  提交时间：2022/01/06
gradient boosting trees  margin  class imbalance  very-high resolution (VHR) remote sensing  land cover classification  disagreement performance  
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  
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：96/0  |  提交时间：2022/02/25
mangroves  species  Sentinel-2  Landsat 8  Pleiades-1  random forest