Deriving fishing monthly effort and caught species from vessel trajectories Coro, Gianpaolo Fortunati, Luigi Pagano, Pasquale OCEANS - Bergen, 2013 MTS/IEEE 報告者 : 王浩勳

Outline  Introduction  Algorithms  Results  Conclusion Deriving fishing monthly effort and caught species from vessel trajectories 2

 Limiting destructive fishing practices  Understanding the degree of exploitation of ocean areas in a certain period  Estimating the species that are involved in the catch Introduction Deriving fishing monthly effort and caught species from vessel trajectories 3

Introduction  Vessel Monitoring System (VMS)  Vessel Transmitted Information (VTI)  Unreported, unregulated and illegal (UUI) fishing activity  Case  Vessels activity classification  Trawling spatial extent  Commercial fisheries activity Deriving fishing monthly effort and caught species from vessel trajectories 4

Inputs  A set of records reporting information transmitted by some vessels (VTI) via GPS during a certain period  Recording time  Vessel identity  Speed  Coordinates  Direction  Environmental information  Bathymetry  Temperature  Salinity  Ice concentration Deriving fishing monthly effort and caught species from vessel trajectories 5

Algorithms Speed-basedSpeed-bathymetry-based Deriving fishing monthly effort and caught species from vessel trajectories 6

Fishing activity hours ( fahs )  The first point of a trajectory has 0 fahs  A point differing from the previous one for more than 4 hours has 0 fahs. We consider this as unreliable  For all the other points, if the speed-based classification is of Fishing type, then the number of fahs is the time difference (in hours) with respect to the previous point Deriving fishing monthly effort and caught species from vessel trajectories 7

Results Deriving fishing monthly effort and caught species from vessel trajectories 8

Results Deriving fishing monthly effort and caught species from vessel trajectories 9

Results Deriving fishing monthly effort and caught species from vessel trajectories 10

Results Deriving fishing monthly effort and caught species from vessel trajectories 11

Results Deriving fishing monthly effort and caught species from vessel trajectories 12

Conclusion  We have described a novel method that can be used in a VMS, which relies on a data processing software and an interactive web interface.  It allows a user to estimate the fishing monthly effort distribution on an ocean area in terms of the amount of average monthly fishing hours spent by a set of vessels during a certain period. Deriving fishing monthly effort and caught species from vessel trajectories 13

Q&A Thanks for listening. Deriving fishing monthly effort and caught species from vessel trajectories 14