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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：101/0  |  提交时间：2022/03/01
mangrove  LiDAR  random forest  GLAS  aboveground biomass  
Contrasting the Performance of Eight Satellite-Based GPP Models in Water-Limited and Temperature-Limited Grassland Ecosystems 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 11
作者:  Zhang, Liangxia;  Zhou, Decheng;  Fan, Jiangwen;  Guo, Qun;  Chen, Shiping;  Wang, Ranghui;  Li, Yuzhe
Adobe PDF(5477Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2022/01/06
gross primary productivity  light use efficiency model  satellite remote sensing  MODIS  EVI  eddy covariance  grassland ecosystem  temperate steppe  alpine meadow  
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：90/0  |  提交时间：2022/01/06
individual segmentation method  leaf area index  canopy cover  tree density  coefficient of variation of tree height  
Mapping Irrigated Areas of Northeast China in Comparison to Natural Vegetation 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 7
作者:  Xiang, Kunlun;  Ma, Minna;  Liu, Wei;  Dong, Jie;  Zhu, Xiufang;  Yuan, Wenping
Adobe PDF(1928Kb)  |  收藏  |  浏览/下载：132/0  |  提交时间：2022/01/06
cropland  forest  irrigation  land surface water index  
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：106/0  |  提交时间：2022/01/06
spatiotemporal data fusion  object-based framework  similar pixel  vegetation mapping  
A Satellite-Based Model for Simulating Ecosystem Respiration in the Tibetan and Inner Mongolian Grasslands 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 1
作者:  Ge, Rong;  He, Honglin;  Ren, Xiaoli;  Zhang, Li;  Li, Pan;  Zeng, Na;  Yu, Guirui;  Zhang, Liyun;  Yu, Shi-Yong;  Zhang, Fawei;  Li, Hongqin;  Shi, Peili;  Chen, Shiping;  Wang, Yanfen;  Xin, Xiaoping;  Ma, Yaoming;  Ma, Mingguo;  Zhang, Yu;  Du, Mingyuan
Adobe PDF(3132Kb)  |  收藏  |  浏览/下载：199/0  |  提交时间：2022/02/25
ecosystem respiration  MODIS  moisture effect  ChinaFLUX  alpine grasslands  temperate grasslands  
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：88/0  |  提交时间：2022/02/25
wildfire burn probability  crown fire  forest fuels  Sierra Nevada  Lidar  error  
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：85/0  |  提交时间：2022/02/25
canopy height  Random Forest  LiDAR  multi-source  vegetation type  location  scale  
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：85/0  |  提交时间：2022/03/28
urban mapping  one-class  NPP-VIIRS DNB  MODIS NDVI  large scale  
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：73/0  |  提交时间：2022/07/08
global  forest  aboveground biomass  remote sensing  LiDAR