基于混合像元分解的池塘养殖动态遥感监测
文献类型：期刊论文
| 作者 | 盛德志1,2,3; 邢前国1,2,3 ; 刘海龙1,2,3; 郑向阳1,2,3
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| 刊名 | 自然资源遥感
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| 出版日期 | 2022 |
| 卷号 | 34期号:4页码:53-59 |
| 关键词 | NDWI 混合像元分解 养殖池塘 中山市 珠江三角洲 |
| ISSN号 | 2097-034X |
| 其他题名 | Remote sensing monitoring of the spatio- temporal changes in pond aquaculture based on mixed pixel decomposition |
| 文献子类 | 期刊论文 |
| 英文摘要 | Aquaculture is an important way for humans to obtain food,and aquaculture ponds are a major production mode of aquaculture. The Pearl River Delta,as an important aquaculture base in southern China,has undergone great changes in its spatial distribution in the past 30 years. This study investigated Zhongshan City and its adjacent areas. First,the mixed pixels of Landsat and Sentinel- 2 remote sensing data were decomposed using the linear mixed pixel decomposition method. Then,the NDWI threshold range corresponding to the water abundance of 70% and above was selected through visual comparison and analysis. Finally,the spatio- temporal distribution of typical aquaculture ponds from 1990 to 2021 was obtained. The study results show that the aquaculture ponds in Zhongshan City and its adjacent areas have experienced a process of first increasing and then decreasing since 1990. Specifically,the area of aquaculture ponds nearly doubled from 1990 to 2000,tended to be stable from 2000 to 2010,but decreased by nearly 50% from 2010 to 2021. This study can reduce the impact of mixed pixels on the monitoring of aquaculture ponds and support the scientific aquaculture and sustainable development of fisheries in the Greater Bay Area. |
| 语种 | 中文 |
| CSCD记录号 | CSCD:7394298 |
| 源URL | [http://ir.yic.ac.cn/handle/133337/34285]  |
| 专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
| 作者单位 | 1.山东省海岸带环境过程重点实验室,烟台264003; 2.中国科学院烟台海岸带研究所,中国科学院海岸带环境过程与生态修复重点实验室,烟台264003; 3.中国科学院大学,北京100049 |
| 推荐引用方式 GB/T 7714 | 盛德志,邢前国,刘海龙,等. 基于混合像元分解的池塘养殖动态遥感监测[J]. 自然资源遥感,2022,34(4):53-59. |
| APA | 盛德志,邢前国,刘海龙,&郑向阳.(2022).基于混合像元分解的池塘养殖动态遥感监测.自然资源遥感,34(4),53-59. |
| MLA | 盛德志,et al."基于混合像元分解的池塘养殖动态遥感监测".自然资源遥感 34.4(2022):53-59. |
入库方式： OAI收割
来源：烟台海岸带研究所
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