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Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269
作者:  Liu, Xiaoqiang;  Su, Yanjun;  Hu, Tianyu;  Yang, Qiuli;  Liu, Bingbing;  Deng, Yufei;  Tang, Hao;  Tang, Zhiyao;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(6152Kb)  |  收藏  |  浏览/下载：37/0  |  提交时间：2024/03/07
Forest canopy height  GEDI  ICESat-2 ATLAS  Lidar  Spatial interpolation  Deep neural network  
Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives 期刊论文
PLANT COMMUNICATIONS, 2022, 卷号: 3, 期号: 6
作者:  Tao, Haiyu;  Xu, Shan;  Tian, Yongchao;  Li, Zhaofeng;  Ge, Yan;  Zhang, Jiaoping;  Wang, Yu;  Zhou, Guodong;  Deng, Xiong;  Zhang, Ze;  Ding, Yanfeng;  Jiang, Dong;  Guo, Qinghua;  Jin, Shichao
Adobe PDF(24106Kb)  |  收藏  |  浏览/下载：23/0  |  提交时间：2024/03/07
plant phenomics  remote sensing  phenotyping  phenotypic traits  multi-omics  breeding  precision cultivation  
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：101/0  |  提交时间：2022/01/06
spatiotemporal data fusion  object-based framework  similar pixel  vegetation mapping  
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：100/0  |  提交时间：2022/02/25
mangroves  species  Sentinel-2  Landsat 8  Pleiades-1  random forest  
Mapping Regional Urban Extent Using NPP-VIIRS DNB and MODIS NDVI Data 期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 8
作者:  Wang, Run;  Wan, Bo;  Guo, Qinghua;  Hu, Maosheng;  Zhou, Shunping
Adobe PDF(2258Kb)  |  收藏  |  浏览/下载：81/0  |  提交时间：2022/03/28
urban mapping  one-class  NPP-VIIRS DNB  MODIS NDVI  large scale  
Unsupervised Object-Based Differencing for Land-Cover Change Detection 期刊论文
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2017, 卷号: 83, 期号: 3, 页码: 225-236
作者:  Zhu, Jinxia;  Su, Yanjun;  Guo, Qinghua;  Harmon, Thomas C.
Adobe PDF(658Kb)  |  收藏  |  浏览/下载：101/0  |  提交时间：2022/03/28
Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 9, 页码: 4225-4236
作者:  Ma, Qin;  Su, Yanjun;  Guo, Qinghua
Adobe PDF(2031Kb)  |  收藏  |  浏览/下载：106/0  |  提交时间：2022/03/28
Canopy cover  light detection and ranging (LiDAR)  National Agricultural Imagery Program  WorldView-2  
Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2016, 卷号: 173, 页码: 187-199
作者:  Su, Yanjun;  Guo, Qinghua;  Xue, Baolin;  Hu, Tianyu;  Alvarez, Otto;  Tao, Shengli;  Fang, Jingyun
Adobe PDF(4355Kb)  |  收藏  |  浏览/下载：86/0  |  提交时间：2022/07/08
Forest aboveground biomass  GIAS/ICESat  Lidar  Ground inventory  China  
Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data 期刊论文
REMOTE SENSING, 2016, 卷号: 8, 期号: 7
作者:  Hu, Tianyu;  Su, Yanjun;  Xue, Baolin;  Liu, Jin;  Zhao, Xiaoqian;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(8623Kb)  |  收藏  |  浏览/下载：70/0  |  提交时间：2022/07/08
global  forest  aboveground biomass  remote sensing  LiDAR  
Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California 期刊论文
LANDSCAPE ECOLOGY, 2016, 卷号: 31, 期号: 8, 页码: 1711-1723
作者:  Tao, Shengli;  Guo, Qinghua;  Wu, Fangfang;  Li, Le;  Wang, Shaopeng;  Tang, Zhiyao;  Xue, Baolin;  Liu, Jin;  Fang, Jingyun
Adobe PDF(1766Kb)  |  收藏  |  浏览/下载：76/0  |  提交时间：2022/07/08
LiDAR  Above ground biomass (AGB)  Landsat  Scale  Pattern  Vegetation index  NDVIc