基于混合像元分解的池塘养殖动态遥感监测

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室

	基于混合像元分解的池塘养殖动态遥感监测
	盛德志 1,2,3; 邢前国 1,2,3; 刘海龙 1,2,3; 郑向阳 1,2,3
刊名	自然资源遥感
	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
内容类型	期刊论文
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
作者单位	1.中国科学院大学,北京100049 2.山东省海岸带环境过程重点实验室,烟台264003; 3.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;
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.