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http://dx.doi.org/10.11108/kagis.2021.24.1.112

A Study on the Mapping of Fishing Activity using V-Pass Data - Focusing on the Southeast Sea of Korea -  

HAN, Jae-Rim (Korea Institute of Science Ocean & Technology)
KIM, Tae-Hoon (Korea Institute of Science Ocean & Technology)
CHOI, Eun Yeong (Ministry of Oceans and Fisheries)
CHOI, Hyun-Woo (Korea Institute of Science Ocean & Technology)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.24, no.1, 2021 , pp. 112-125 More about this Journal
Abstract
Marine spatial planning(MSP) designates the marine as nine kinds of use zones for the systematic and rational management of marine spaces. One of them is the fishery protection zone, which is necessary for the sustainable production of fishery products, including the protection and fosterage of fishing activities. This study intends to quantitatively identify the fishing activity space, one of the elements necessary for the designation of fisheries protection zones, by mapping of fishery activities using V-Pass data and deriving the fishery activity concentrated zone. To this end, pre-processing of V-Pass data was performed, such as constructing a dataset that combines static and dynamic information, calculating the speed of fishing vessels, extracting fishing activity points, and removing data in non-fishing activity zone. Finally, using the selected V-Pass point data, a fishery activity map was made by kernel density estimation, and the concentrated space of fishery activity was analyzed. In addition, it was confirmed that there is a difference in the spatial distribution of fishing activities according to the type of fishing vessel and the season. The pre-processing technique of large volume V-Pass data and the mapping method of fishing activities performed through this study are expected to contribute to the study of spatial characteristics evaluation of fishing activities in the future.
Keywords
V-Pass; Mapping of fishing activity; Kernel density estimation; Marine Spatial Planning;
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