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Simulating highly disturbed vegetation distribution: the case of China's Jing-Jin-Ji region 期刊论文
PEERJ, 2020, 卷号: 8
Authors:  Yi, Sangui;  Zhou, Jihua;  Lai, Liming;  Du, Hui;  Sun, Qinglin;  Yang, Liu;  Liu, Xin;  Liu, Benben;  Zheng, Yuanrun
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Vegetation distribution model  Vegetation classification unit  Important predictor variable  Jing-Jin-Ji region  
Directed species loss reduces community productivity in a subtropical forest biodiversity experiment 期刊论文
NATURE ECOLOGY & EVOLUTION, 2020, 卷号: 4, 期号: 4, 页码: 550-559
Authors:  Chen, Yuxin;  Huang, Yuanyuan;  Niklaus, Pascal A.;  Castro-Izaguirre, Nadia;  Clark, Adam Thomas;  Bruelheide, Helge;  Ma, Keping;  Schmid, Bernhard
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An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 22
Authors:  Sun, Fei;  Fang, Fang;  Wang, Run;  Wan, Bo;  Guo, Qinghua;  Li, Hong;  Wu, Xincai
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image classification  class imbalance  impartial semi-supervised learning strategy (ISS)  extreme gradient boosting (XGB)  very-high-resolution (VHR)  
Patterns and environmental controls of soil organic carbon density in Chinese shrublands 期刊论文
GEODERMA, 2020, 卷号: 363
Authors:  Ge, Jielin;  Xu, Wenting;  Liu, Qing;  Tang, Zhiyao;  Xie, Zongqiang
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Carbon sequestration  Geographical pattern  Climate-vegetation-soil relationship  Soil carbon storage  
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
Authors:  Hu, Tianyu;  Zhang, YingYing;  Su, Yanjun;  Zheng, Yi;  Lin, Guanghui;  Guo, Qinghua
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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
Authors:  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
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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
Authors:  Wang, Dezhi;  Wan, Bo;  Liu, Jing;  Su, Yanjun;  Guo, Qinghua;  Qiu, Penghua;  Wu, Xincai
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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
Authors:  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
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Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
Spatial patterns and determinants of common root-associated fungi in a subtropical forest of China 期刊论文
JOURNAL OF PLANT ECOLOGY, 2019, 卷号: 12, 期号: 2, 页码: 255-263
Authors:  Shakoor, Abdul;  Li, Shan;  Wang, Fang;  Tian, Tian;  Liang, Yu;  Ma, Keping
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spatial pattern  fungal population  subtropical forests  high-throughput sequencing  dispersal  niche hypervolume  
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
Authors:  Sun, Fei;  Wang, Run;  Wan, Bo;  Su, Yanjun;  Guo, Qinghua;  Huang, Youxin;  Wu, Xincai
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gradient boosting trees  margin  class imbalance  very-high resolution (VHR) remote sensing  land cover classification  disagreement performance