AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea

doi:10.3390/ijgi10050277

	AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea
	Li, Xiaoen 3,4,5; Xiao, Yang 2,6; Su, Fenzhen 2,4,6; Wu, Wenzhou 2,4,6; Zhou, Liang 1,3,4
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2021-05-01
卷号	10 期号:5 页码:21
关键词	geographic data AIS VBD data fusion fishing intensity marine fisheries sustainable northern South China Sea
DOI	10.3390/ijgi10050277
通讯作者	Su, Fenzhen(sufz@lreis.ac.cn) ; Zhou, Liang(zhouliang@lzjtu.edu.cn)
英文摘要	For the sustainable development of marine fishery resources, it is essential to comprehensively, accurately, and objectively obtain the spatial characteristics and evolution law of fishing intensity. However, previous studies have focused more on the use of single data sources, such as AIS (Automatic Information System) and VBD (VIIRS boat detection), to obtain fishing intensity information and, as such, have encountered some problems, such as insufficient comprehensive data coverage for ships, non-uniform spatial distribution of data signal acquisition, and insufficient accuracy in obtaining fishing intensity information. The development of big data and remote sensing Earth observation technology has provided abundant data sources and technical support for the acquisition of fishing intensity data for marine fisheries. Based on this situation, this paper proposes a framework that integrates the data of fishing vessels from two sources (AIS, with high space-time granularity, and VBD, with short revisit cycle and high sensitivity), in order to obtain such information based on closely matching and fusing the vector point data of ship positions. With the help of this framework and the strategy of indirectly representing fishing intensity by data point density after fusion, the spatial characteristics and rules of fishing intensity in typical seasons (February, April, September, and November) in the northern South China Sea in 2018 were systematically analyzed and investigated. The results revealed the following: (1) Matching and fusing AIS and VBD data can provide a better perspective to produce robust and accurate marine fishery intensity data. The two types of data have a low proximity match rate (approximately 1.89% and 6.73% of their respective inputs) and the matching success for fishing vessels in the data was 49.42%. (2) Single AIS data can be used for nearshore (50 to 70 km) marine fishery analysis research, while VBD data reflect the objective marine fishing in space, showing obvious complementarity with AIS. (3) The fishing intensity grid data obtained from the integrated data show that high-intensity fishing in the study area was concentrated in the coastal area of Maoming City, Guangdong (0-50 km); the coastal area of Guangxi Beihai (10-70 km); around Hainan Island in Zhangzhou (10-30 km); and the Sanya nearshore area (0-50 km). However, it did not decay with increasing offshore distance, such as at the Trans-Vietnamese boundary in the Beibu Gulf, near the China-Vietnam Common Fisheries Area (50 km) and high-intensity fishing areas. (4) The obtained fishing intensity data (AIS, VBD, and AIS + VBD) were quantitatively analyzed, showing that the CV (Coefficient of Variation) of the average for each month (after fusing the two types of data) was 0.995, indicating that the distribution of the combined data was better than that before fusion (before fusion: AIS = 0.879, VBD = 1.642). Therefore, the integration of AIS and VBD can meet the need for a more effective, comprehensive, and accurate fishing intensity analysis in marine fishery resources.
资助项目	Science and Technology Basic Resources Investigation Program of China[2017FY201401] ; National Natural Science Foundation of China[41890854] ; National Natural Science Foundation of China[41961027] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19060304] ; Lanzhou Jiaotong University Excellent Platform (LZJTU EP)[201806]
WOS关键词	IDENTIFICATION SYSTEM ; VIIRS ; LIGHT ; EXPLOITATION ; FOOTPRINT ; TRACKING ; IMAGES
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000653978400001
资助机构	Science and Technology Basic Resources Investigation Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Lanzhou Jiaotong University Excellent Platform (LZJTU EP)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162706]
专题	中国科学院地理科学与资源研究所
通讯作者	Su, Fenzhen; Zhou, Liang
作者单位	1.Gansu Prov Engn Lab Natl Geog State Monitoring, Lanzhou 730070, Peoples R China 2.Nanjing Univ, Collaborat Innovat Ctr South China Sea Studies, Nanjing 210093, Peoples R China 3.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, 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.Natl Local Joint Engn Res Ctr Technol & Applicat, Lanzhou 730070, Peoples R China 6.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Li, Xiaoen,Xiao, Yang,Su, Fenzhen,et al. AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(5):21.
APA	Li, Xiaoen,Xiao, Yang,Su, Fenzhen,Wu, Wenzhou,&Zhou, Liang.(2021).AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(5),21.
MLA	Li, Xiaoen,et al."AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.5(2021):21.