IB-CAS

浏览/检索结果: 共5条,第1-5条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data 期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 卷号: 78, 页码: 25-38
作者:  Hu, Tianyu;  Ma, Qin;  Su, Yanjun;  Battles, John J.;  Collins, Brandon M.;  Stephens, Scott L.;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(15930Kb)  |  收藏  |  浏览/下载:86/0  |  提交时间:2022/01/06
Fire severity  Fire type  Tree canopy  Airborne LiDAR  Profile area change  
The influence of meteorology and phenology on net ecosystem exchange in an eastern Siberian boreal larch forest 期刊论文
JOURNAL OF PLANT ECOLOGY, 2016, 卷号: 9, 期号: 5, 页码: 520-530
作者:  Xue, Bao-Lin;  Guo, Qinghua;  Gong, Yongwei;  Hu, Tianyu;  Liu, Jin;  Ohta, Takeshi
Adobe PDF(853Kb)  |  收藏  |  浏览/下载:70/0  |  提交时间:2022/07/08
boreal forest  eastern Siberia  net ecosystem exchange  phenology  
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:80/0  |  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:67/0  |  提交时间:2022/07/08
global  forest  aboveground biomass  remote sensing  LiDAR  
Drivers of lightning- and human-caused fire regimes in the Great Xing'an Mountains 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2014, 卷号: 329, 页码: 49-58
作者:  Hu, Tianyu;  Zhou, Guangsheng
Adobe PDF(1745Kb)  |  收藏  |  浏览/下载:33/0  |  提交时间:2023/03/30
Great Xing'an Mountains  Lightning-caused fire  Human-caused fire  Driving factors  Social factors  Population