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Alpine vegetation phenology dynamic over 16 years and its covariation with climate in a semi-arid region of China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 卷号: 572, 页码: 119-128
作者:  Zhou, Jihua;  Cai, Wentao;  Qin, Yue;  Lai, Liming;  Guan, Tianyu;  Zhang, Xiaolong;  Jiang, Lianhe;  Du, Hui;  Yang, Dawen;  Cong, Zhentao;  Zheng, Yuanrun
Adobe PDF(2538Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2022/07/08
Heihe River  Phenology  Remote sensing  Alpine vegetation  Normalized Difference Vegetation Index  Climate variability  
Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features 期刊论文
REMOTE SENSING, 2016, 卷号: 8, 期号: 8
作者:  Lin, Xiaohui;  Zhang, Wen;  Huang, Yao;  Sun, Wenjuan;  Han, Pengfei;  Yu, Lingfei;  Sun, Feifei
Adobe PDF(3615Kb)  |  收藏  |  浏览/下载：72/0  |  提交时间：2022/07/08
land surface temperature  air temperature  complex topography  MODIS  
CForBio: a network monitoring Chinese forest biodiversity 期刊论文
SCIENCE BULLETIN, 2016, 卷号: 61, 期号: 15, 页码: 1163-1170
作者:  Feng, Gang;  Mi, Xiangcheng;  Yan, Hui;  Li, Frank Yonghong;  Svenning, Jens-Christian;  Ma, Keping
Adobe PDF(727Kb)  |  收藏  |  浏览/下载：85/0  |  提交时间：2022/07/08
Forest ecosystem  Defaunation  Climate change  Remote sensing  
Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China 期刊论文
JOURNAL OF ARID LAND, 2016, 卷号: 8, 期号: 3, 页码: 462-477
作者:  Sha Zongyao;  Zhong Jialin;  Bai Yongfei;  Tan Xicheng;  Li, Jonathan
Adobe PDF(1243Kb)  |  收藏  |  浏览/下载：58/0  |  提交时间：2022/07/08
phenological timing  degradation  harmonic analysis  human activity  climate  restoration  
Estimation and uncertainty analyses of grassland biomass in Northern China: Comparison of multiple remote sensing data sources and modeling approaches 期刊论文
ECOLOGICAL INDICATORS, 2016, 卷号: 60, 页码: 1031-1040
作者:  Jia, Wenxiao;  Liu, Min;  Yang, Yuanhe;  He, Honglin;  Zhu, Xudong;  Yang, Fang;  Yin, Cai;  Xiang, Weining
Adobe PDF(2706Kb)  |  收藏  |  浏览/下载：63/0  |  提交时间：2022/07/08
Grassland biomass  NDVI  Root-to-shoot ratio  Uncertainty analysis  Northern China  
Derivation, Validation, and Sensitivity Analysis of Terrestrial Laser Scanning-Based Leaf Area Index 期刊论文
CANADIAN JOURNAL OF REMOTE SENSING, 2016, 卷号: 42, 期号: 6, 页码: 719-729
作者:  Li, Yumei;  Guo, Qinghua;  Tao, Shengli;  Zheng, Guang;  Zhao, Kaiguang;  Xue, Baolin;  Su, Yanjun
Adobe PDF(961Kb)  |  收藏  |  浏览/下载：78/0  |  提交时间：2022/07/08
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：76/0  |  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：63/0  |  提交时间：2022/07/08
global  forest  aboveground biomass  remote sensing  LiDAR  
Forest fuel treatment detection using multi-temporal airborne lidar data and high-resolution aerial imagery: a case study in the Sierra Nevada Mountains, California 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2016, 卷号: 37, 期号: 14, 页码: 3322-3345
作者:  Su, Yanjun;  Guo, Qinghua;  Collins, Brandon M.;  Fry, Danny L.;  Hu, Tianyu;  Kelly, Maggi
Adobe PDF(4413Kb)  |  收藏  |  浏览/下载：78/0  |  提交时间：2022/07/08
Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 卷号: 117, 页码: 79-91
作者:  Zhao, Xiaoqian;  Guo, Qinghua;  Su, Yanjun;  Xue, Baolin
Adobe PDF(2953Kb)  |  收藏  |  浏览/下载：84/0  |  提交时间：2022/07/08
Light detection and ranging  Ground filtering  Ground points  Triangulated irregular network  Digital terrain model