Mapping China's offshore mariculture based on dense time-series optical and radar data
文献类型：期刊论文
| 作者 | Liu, Xiaoliang1,2; Wang, Zhihua1,2; Yang, Xiaomei1,2; Liu, Yueming1,2; Liu, Bin1,2; Zhang, Junyao1,2; Gao, Ku1,2; Meng, Dan1; Ding, Yaxin1 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2022-12-31 |
| 卷号 | 15期号:1页码:1326-1349 |
| ISSN号 | 1753-8947 |
| 关键词 | Aquaculture mariculture multi-source remote sensing time-series China's coastal zone |
| DOI | 10.1080/17538947.2022.2108923 |
| 通讯作者 | Yang, Xiaomei(yangxm@lreis.ac.cn) |
| 英文摘要 | Due to the weak information about cultural targets in the complex marine environment, an omission problem exists in large-scale mariculture extraction using single-view and single-source images. To overcome this problem, we developed a mariculture extraction method that combines dense time-series Sentinel-2 and Sentinel-1 data. A high-precision Chinese mariculture distribution map for 2020 was produced with an overall accuracy of 94.00% and a kappa coefficient of 0.91. The results show that (1) the total area of mariculture was 1173249.22 ha on the national scale, which was significantly larger than the previous studies (459595.70 and 205920.28 ha, respectively), with Shandong Province (39.09%) having the largest proportion; (2) China's mariculture presented a spatial distribution characteristic of 'Denser North and Sparser South', and mariculture was centralized in the coastal zones of the northern provinces (60.76%) rather than the southern provinces; (3) the official production statistics and remote sensing-derived mariculture area revealed a highly corresponding trend at the provincial level, with an R-2 reaching 0.78, which is much higher than the 0.07 and 0.41 values of the comparison data. The results directly provide data reference for mariculture production estimation and site selection or ideas for mariculture extraction in other regions and globally. |
| WOS关键词 | RAFT CULTIVATION AREA ; EXTRACTION ; REGION |
| 资助项目 | National Key Research and Development Program of China[2021YFB3900501] ; National Natural Science Foundation of China[41671436] ; National Natural Science Foundation of China[41901354] ; National Natural Science Foundation of China[41890854] ; Innovation Project of LREIS[O88RAA01YA] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:000837495200001 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Innovation Project of LREIS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/181605]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Xiaomei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Xiaoliang,Wang, Zhihua,Yang, Xiaomei,et al. Mapping China's offshore mariculture based on dense time-series optical and radar data[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2022,15(1):1326-1349. |
| APA | Liu, Xiaoliang.,Wang, Zhihua.,Yang, Xiaomei.,Liu, Yueming.,Liu, Bin.,...&Ding, Yaxin.(2022).Mapping China's offshore mariculture based on dense time-series optical and radar data.INTERNATIONAL JOURNAL OF DIGITAL EARTH,15(1),1326-1349. |
| MLA | Liu, Xiaoliang,et al."Mapping China's offshore mariculture based on dense time-series optical and radar data".INTERNATIONAL JOURNAL OF DIGITAL EARTH 15.1(2022):1326-1349. |
入库方式： OAI收割
来源：地理科学与资源研究所
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