Remote Sensing (Apr 2019)

Cross-Matching VIIRS Boat Detections with Vessel Monitoring System Tracks in Indonesia

  • Feng-Chi Hsu,
  • Christopher D. Elvidge,
  • Kimberly Baugh,
  • Mikhail Zhizhin,
  • Tilottama Ghosh,
  • David Kroodsma,
  • Adi Susanto,
  • Wiryawan Budy,
  • Mochammad Riyanto,
  • Ridwan Nurzeha,
  • Yeppi Sudarja

DOI
https://doi.org/10.3390/rs11090995
Journal volume & issue
Vol. 11, no. 9
p. 995

Abstract

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A methodology had been proposed for cross-matching visible infrared imaging radiometer suite (VIIRS) boat detections (VBD) with vessel monitoring system (VMS) tracks. The process involves predicting the probable location of VMS vessels at the time of each VIIRS data collection with an orbital model. Thirty-two months of Indonesian VMS data was segmented into fishing and transit activity types and then cross-matched with the VBD record. If a VBD record is found within 700 m and 5 s of the predicted location, it is marked as a match. The cross-matching indicates that 96% of the matches occur while the vessel is fishing. Small pelagic purse seiners account for 27% of the matches. Other gear types with high match rates include hand line tuna, squid dip net, squid jigging, and large pelagic purse seiners. Low match rates were found for gillnet, trawlers, and long line tuna. There is an indication that VMS vessels using submersible lights can be identified based on consistently low average radiances and match rates under 45%. Overall, VBD numbers exceed VMS vessel numbers in Indonesia by a nine to one ratio, indicating that VIIRS detects large numbers of fishing boats under the 30 Gross Tonnage (GT) level set for the VMS requirement. The cross-matching could be used to identify “dark” vessels that lack automatic identification system (AIS) or VMS.

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