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A novel entropy-based method to quantify forest canopy structural complexity from multiplatform lidar point clouds 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 282
作者:  Liu, Xiaoqiang;  Ma, Qin;  Wu, Xiaoyong;  Hu, Tianyu;  Liu, Zhonghua;  Liu, Lingli;  Guo, Qinghua;  Su, Yanjun
Adobe PDF(11200Kb)  |  收藏  |  浏览/下载：20/0  |  提交时间：2024/03/07
Forest canopy structural complexity  Entropy  Multiplatform lidar point clouds  Mann-Kendall test  Kernel density estimation  
Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin;  Ju, Yuanzhen;  Zhang, Jing;  Xuan, Jing;  Liu, Jin;  Su, Yanjun;  Xu, Qiang;  Liu, Yu
Adobe PDF(4690Kb)  |  收藏  |  浏览/下载：116/0  |  提交时间：2022/03/01
Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge  
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：104/0  |  提交时间：2022/02/25
mangroves  species  Sentinel-2  Landsat 8  Pleiades-1  random forest  
Simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data 期刊论文
OPTICS EXPRESS, 2018, 卷号: 26, 期号: 10, 页码: A562-A578
作者:  Luo, Laiping;  Zhai, Qiuping;  Su, Yanjun;  Ma, Qin;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(4147Kb)  |  收藏  |  浏览/下载：95/0  |  提交时间：2022/02/25
Global patterns and determinants of forest canopy height 期刊论文
ECOLOGY, 2016, 卷号: 97, 期号: 12, 页码: 3265-3270
作者:  Tao, Shengli;  Guo, Qinghua;  Li, Chao;  Wang, Zhiheng;  Fang, Jingyun
Adobe PDF(1865Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2022/07/08
climatic indices  forest canopy height  geoscience laser altimeter system  giant trees  light detection and ranging  potential evapotranspiration  RH100  tallest tree  water supply  
A New Accuracy Assessment Method for One-Class Remote Sensing Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 卷号: 52, 期号: 8, 页码: 4621-4632
作者:  Li, Wenkai;  Guo, Qinghua
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：34/0  |  提交时间：2023/03/30
Accuracy assessment  background  F-measure  negative  one-class remote sensing classification  positive  
How to assess the prediction accuracy of species presence-absence models without absence data? 期刊论文
ECOGRAPHY, 2013, 卷号: 36, 期号: 7, 页码: 788-799
作者:  Li, Wenkai;  Guo, Qinghua
Adobe PDF(1061Kb)  |  收藏  |  浏览/下载：34/0  |  提交时间：2023/04/25