中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Satellite-based monitoring and statistics for raft and cage aquaculture in China's offshore waters

文献类型:期刊论文

作者Liu, Yueming3,4; Wang, Zhihua4; Yang, Xiaomei3,4; Zhang, Yuanzhi1,5; Yang, Fengshuo3,4; Liu, Bin3,4; Cai, Peiyuan2
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2020-09-01
卷号91页码:10
关键词Remote sensing Aquaculture Coastal zone Landsat 8 Object oriented
ISSN号1569-8432
DOI10.1016/j.jag.2020.102118
通讯作者Yang, Xiaomei(yangxm@lreis.ac.cn) ; Zhang, Yuanzhi(yuanzhizhang@cuhk.edu.hk)
英文摘要Based on Landsat 8 remote sensing images, a combination of an unsupervised classification algorithm and artificial review was used to extract areas for Chinese offshore raft and cage aquaculture in 2018. The results of the extraction showed that China's 2018 coastal zone raft aquaculture area comprised 194,110 ha, of which the province having the largest raft aquaculture area was Jiangsu (28.77 %), followed by Fujian (20.42 %) and Shandong (13.11 %). The cage aquaculture area covered 57,847,799 square meters, of which the provinces with the largest cage aquaculture area were Fujian (64.81 %), Guangdong (17.45 %), and Liaoning (5.63 %). In addition, by combining high-resolution remote sensing image visual interpretation and field investigation, the classification of 1200 sample points in four regions was determined, and the accuracy of the aquaculture area extraction was found to be 87.35 %. The extraction results can be used not only to evaluate China's aquaculture production but also offer significant reference value for scientific planning related to sea use, ecological environmental protection, and marine disaster prevention and mitigation.
WOS关键词CULTIVATION AREA ; EXTRACTION ; VAPOR
资助项目CAS Earth Big Data Science Project[XDA19060303] ; National Key Research and Development Program of China[2016YFC1402003] ; National Science Foundation of China[41671436] ; National Science Foundation of China[U1901215] ; Innovation Project of LREIS[088RAA01YA]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000538937800011
出版者ELSEVIER
资助机构CAS Earth Big Data Science Project ; National Key Research and Development Program of China ; National Science Foundation of China ; Innovation Project of LREIS
源URL[http://ir.igsnrr.ac.cn/handle/311030/162252]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Xiaomei; Zhang, Yuanzhi
作者单位1.Chinese Univ Hong Kong, Ctr Housing Innovat, Shatin, Hong Kong, Peoples R China
2.Shandong Univ, Sch Management, Shandong 250100, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
5.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Peoples R China
推荐引用方式
GB/T 7714
Liu, Yueming,Wang, Zhihua,Yang, Xiaomei,et al. Satellite-based monitoring and statistics for raft and cage aquaculture in China's offshore waters[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2020,91:10.
APA Liu, Yueming.,Wang, Zhihua.,Yang, Xiaomei.,Zhang, Yuanzhi.,Yang, Fengshuo.,...&Cai, Peiyuan.(2020).Satellite-based monitoring and statistics for raft and cage aquaculture in China's offshore waters.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,91,10.
MLA Liu, Yueming,et al."Satellite-based monitoring and statistics for raft and cage aquaculture in China's offshore waters".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 91(2020):10.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。