Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery

doi:10.3390/s19051221

	Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery
	Wang, Jun 1,2; Sui, Lichun 1,2; Yang, Xiaomei 3,4,5; Wang, Zhihua 3,5; Liu, Yueming 3,5; Kang, Junmei 1,2; Lu, Chen 3,5; Yang, Fengshuo 3,5; Liu, Bin 3,5
刊名	SENSORS
	2019-03-01
卷号	19 期号:5 页码:15
关键词	coastal raft aquaculture remote sensing Landsat 8 OLI NDVI edge detection GEOBIA
ISSN号	1424-8220
DOI	10.3390/s19051221
通讯作者	Wang, Zhihua(zhwang@lreis.ac.cn)
英文摘要	Information, especially spatial distribution data, related to coastal raft aquaculture is critical to the sustainable development of marine resources and environmental protection. Commercial high spatial resolution satellite imagery can accurately locate raft aquaculture. However, this type of analysis using this expensive imagery requires a large number of images. In contrast, medium resolution satellite imagery, such as Landsat 8 images, are available at no cost, cover large areas with less data volume, and provide acceptable results. Therefore, we used Landsat 8 images to extract the presence of coastal raft aquaculture. Because the high chlorophyll concentration of coastal raft aquaculture areas cause the Normalized Difference Vegetation Index (NDVI) and the edge features to be salient for the water background, we integrated these features into the proposed method. Three sites from north to south in Eastern China were used to validate the method and compare it with our former proposed method using only object-based visually salient NDVI (OBVS-NDVI) features. The new proposed method not only maintains the true positive results of OBVS-NDVI, but also eliminates most false negative results of OBVS-NDVI. Thus, the new proposed method has potential for use in rapid monitoring of coastal raft aquaculture on a large scale.
资助项目	CAS Earth Big Data Science Project of China[XDA19060303] ; National Science Foundation of China[41671436] ; National Science Foundation of China[41421001] ; Innovation Project of LREIS[O88RAA01YA]
WOS关键词	VISUAL-ATTENTION ; SEGMENTATION ; DELINEATION ; CULTURE ; IMPACTS ; NDVI ; GIS
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种	英语
出版者	MDPI
WOS记录号	WOS:000462540400240
资助机构	CAS Earth Big Data Science Project of China ; National Science Foundation of China ; Innovation Project of LREIS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48675]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Zhihua
作者单位	1.Changan Univ, Geol Engn, Xian 710054, Shaanxi, Peoples R China 2.Changan Univ, Inst Surveying & Mapping, Xian 710054, Shaanxi, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jun,Sui, Lichun,Yang, Xiaomei,et al. Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery[J]. SENSORS,2019,19(5):15.
APA	Wang, Jun.,Sui, Lichun.,Yang, Xiaomei.,Wang, Zhihua.,Liu, Yueming.,...&Liu, Bin.(2019).Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery.SENSORS,19(5),15.
MLA	Wang, Jun,et al."Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery".SENSORS 19.5(2019):15.