Caixia Liu
Peking University
87 Papers
35 Citations
Caixia Liu is an academic researcher from Peking University. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 15, co-authored 30 publications. Previous affiliations of Caixia Liu include Chinese Academy of Sciences & Aarhus University.
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Papers
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Peng Gong,Jie Wang,Le Yu,Yongchao Zhao,Yuanyuan Zhao,Lu Liang,Zhenguo Niu,Xiaomeng Huang,Haohuan Fu,Shuang Liu,Congcong Li,Xueyan Li,Wei Fu,Caixia Liu,Yue Xu,Xiaoyi Wang,Qu Cheng,Luanyun Hu,Wenbo Yao,Han Zhang,Peng Zhu,Ziying Zhao,Haiying Zhang,Yaomin Zheng,Luyan Ji,Yawen Zhang,Han Chen,An Yan,JianHong Guo,Liang Yu,Lei Wang,Xiaojun Liu,Tingting Shi,Menghua Zhu,Yanlei Chen,Guangwen Yang,Ping Tang,Bing Xu,Chandra Giri,Nicholas Clinton,Zhiliang Zhu,Jin Chen,Jun Chen +42 more
TL;DR: In this article, the first 30 m resolution global land cover maps using Landsat Thematic Mapper TM and enhanced thematic mapper plus ETM+ data were produced. And the authors used four classifiers that were freely available were employed, including the conventional maximum likelihood classifier MLC, J4.8 decision tree classifier, Random Forest RF classifier and support vector machine SVM classifier.
1.6K
Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine
Huabing Huang,Yanlei Chen,Nicholas Clinton,Jie Wang,Xiaoyi Wang,Caixia Liu,Peng Gong,Jun Yang,Yuqi Bai,Yaomin Zheng,Zhiliang Zhu +10 more
TL;DR: Wang et al. as mentioned in this paper used the Normalized Difference Vegetation Index (NDVI) trajectory to detect major land cover dynamics in Beijing and classified the land cover types in 2015 with the Google Earth Engine (GEE) cloud calculation.
399
Mapping wetland changes in China between 1978 and 2008
Zhenguo Niu,Haiying Zhang,Xianwei Wang,Wenbo Yao,DeMin Zhou,KuiYi Zhao,Hui Zhao,Nana Li,Huabing Huang,Congcong Li,Jun Yang,Caixia Liu,Shuang Liu,Lin Wang,Zhan Li,ZhenZhong Yang,Fei Qiao,Yaomin Zheng,Yanlei Chen,Yongwei Sheng,XiaoHong Gao,WeiHong Zhu,WenQing Wang,Hong Wang,Yongling Weng,Dafang Zhuang,Jiyuan Liu,Zhicai Luo,Xiao Cheng,Ziqi Guo,Peng Gong,Peng Gong,Peng Gong +32 more
TL;DR: Wang et al. as mentioned in this paper analyzed the 2008 wetland distribution in China and discussed wetland changes and their drivers over the past 30 years using four wetland maps for all China have been produced, based on Landsat and CBERS-02B remote sensing data.
Towards a common validation sample set for global land-cover mapping
Yuanyuan Zhao,Peng Gong,Le Yu,Luanyun Hu,Xueyan Li,Congcong Li,Haiying Zhang,Yaomin Zheng,Jie Wang,Yongchao Zhao,Qu Cheng,Caixia Liu,Shuang Liu,Xiaoyi Wang +13 more
TL;DR: A global validation data-set based on interpreting Landsat Thematic Mapper and Enhanced TM Plus images for a total of 38,664 sample units pre-determined with an equal-area stratified sampling scheme, which indicates some of the homogeneous sample units in the data- set have already been used in assessing other classification results or as training data for land-cover mapping with coarser-resolution data.
185
The first all-season sample set for mapping global land cover with Landsat-8 data
Congcong Li,Congcong Li,Peng Gong,Jie Wang,Zhiliang Zhu,Gregory S. Biging,Cui Yuan,Tengyun Hu,Haiying Zhang,Qi Wang,Xuecao Li,Xiaoxuan Liu,Yidi Xu,Jing Guo,Caixia Liu,Kwame Oppong Hackman,Meinan Zhang,Yuqi Cheng,Le Yu,Jun Yang,Huabing Huang,Nicholas Clinton +21 more
TL;DR: In this article, the authors reported the first all-season training and validation sample sets for global land cover classification with Landsat-8 data, and compared the performances of training samples in different seasons using Random Forest algorithm.
159