C
Chong Liu
Researcher at Sun Yat-sen University
Publications - 23
Citations - 831
Chong Liu is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Impervious surface & Land cover. The author has an hindex of 11, co-authored 22 publications receiving 453 citations. Previous affiliations of Chong Liu include Jiangxi Normal University & Wuhan University.
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Journal ArticleDOI
Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018
Peng Gong,Bin Chen,Xuecao Li,Han Liu,Jie Wang,Jie Wang,Yuqi Bai,Jingming Chen,Xi Chen,Lei Fang,Shuailong Feng,Yongjiu Feng,Yali Gong,Hao Gu,Huabing Huang,Xiaochun Huang,Hongzan Jiao,Yingdong Kang,Guangbin Lei,Ainong Li,Xiaoting Li,Xun Li,Yuechen Li,Zhilin Li,Zhongde Li,Chong Liu,Chunxia Liu,Maochou Liu,Shuguang Liu,Wanliu Mao,Changhong Miao,Hao Ni,Qisheng Pan,Qisheng Pan,Shuhua Qi,Zhehao Ren,Zhuoran Shan,Shaoqing Shen,Minjun Shi,Yimeng Song,Mo Su,Hoi Ping Suen,Bo Sun,Fangdi Sun,Jian Sun,Lin Sun,Wenyao Sun,Tian Tian,Xiaohua Tong,Yi Hsing Tseng,Ying Tu,Hong Wang,Lan Wang,Xi Wang,Zongming Wang,Tinghai Wu,Yaowen Xie,Jian Yang,Jun Yang,Man Yuan,Wenze Yue,Hongda Zeng,Kuo Zhang,Neng Zhang,Tao Zhang,Yu Zhang,Feng Zhao,Yichen Zheng,Qiming Zhou,Nicholas Clinton,Zhiliang Zhu,Bing Xu +71 more
TL;DR: For example, in this article, the authors present a set of urban land use maps at the national and global scales that are derived from the same or consistent data sources with similar or compatible classification systems and mapping methods.
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Urban Change Detection Based on Dempster–Shafer Theory for Multitemporal Very High-Resolution Imagery
TL;DR: This paper proposes an urban change detection method for VHR images by fusing multiple change detection methods with D–S evidence theory and indicates that the proposed method can obtain the best performance in detection rate, false alarm rate, and comprehensive indicators.
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The Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for Monitoring Large-Scale Impervious Surface Dynamics: A Case Study in the Yangtze River Delta
Zhenfeng Shao,Chong Liu +1 more
TL;DR: The proposed method is based on a linear regression model developed between the sub-pixel ISA fraction and a multi-source index with the integrated use of DMSP-OLS NTL and MODIS NDVI and incorporated spatial information to the regression model for obtaining spatially adaptive coefficients at the per-pixel level.
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An efficient approach to capture continuous impervious surface dynamics using spatial-temporal rules and dense Landsat time series stacks
TL;DR: Wang et al. as discussed by the authors proposed an approach to capture continuous impervious surface dynamics using spatial-temporal rules and dense time series stacks of Landsat data, which achieved an overall accuracy of 85.5% at the annual scale.
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Urbanization dramatically altered the water balances of a paddy field dominated basin in Southern China
Lu Hao,Ge Sun,Y. Liu,J. Wan,M. Qin,H. Qian,Chong Liu,J. Zheng,Ranjeet John,Peilei Fan,Jiquan Chen +10 more
TL;DR: In this article, the authors examined the responses of stream flow and watershed water balances to the decline of rice paddy fields due to urbanization in the Qinhuai River basin in southern China, where massive industrialization has occurred during the past 3 decades.