Mapping the fine spatial distribution of global offshore surface seawater mariculture using remote sensing big data

Author:

Liu Yueming1,Yang Xiaomei12,Wang Zhihua12ORCID,Liu Bin12,Zhang Junyao12,Liu Xiaoliang12,Meng Dan12,Gao Ku12,Zeng Xiaowei123,Yu Guo12,Zhang Qingyang12,Cui Yuyang4,Huang Zhongxin15,Luo Haofeng15,Zhou Meiqi16

Affiliation:

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China

2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, People’s Republic of China

3. School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, People’s Republic of China

4. College of Land Science and Technology, China Agricultural University, Beijing, People’s Republic of China

5. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, People’s Republic of China

6. School of Remote Sensing and Geomatics Engineering, NUIST, Nanjing, People’s Republic of China

Funder

the Strategic Priority Research Program of Chinese Academy of Sciences

the International Science Partnership Program of the Chinese Academy of Sciences

the National Natural Science Foundation of China

the Key Project of Innovation LREIS

the Youth Project of Innovation LREIS

Publisher

Informa UK Limited

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