TY - GEN
T1 - Use of sentinel-1 and sentinel-2 for monitoring illegal fishing off Ghana
AU - Kurekin, Andrey
AU - Loveday, Benjamin
AU - Clements, Oliver
AU - Quartly, Graham
AU - Miller, Peter
AU - Wiafe, George
AU - Agyekum, Kwame Adu
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/31
Y1 - 2018/10/31
N2 - An efficient and inexpensive service has been developed for the monitoring of fishing vessels in West Africa using Earth Observation (EO) data. The service makes use of fast-delivery data from the Synthetic Aperture Radar (SAR) instrument on Sentinel-1 and the Multi Spectral Imager (MSI) on Sentinel-2, detecting objects that differ markedly from their immediate background using a constant false alarm rate (CFAR) test. The selected objects are then discounted from further analysis if they fall within the bespoke land mask or can be shown from time series analysis to be static (signals associated with jetties, oil platforms and "ghost objects" arising from very bright land targets). Detections are matched to, and verified by, AIS data, which provides location and dimensions of ships that are legally in the region. Both matched and un-matched data are then displayed on a web portal for use by the Gulf of Guinea (GoG) state authorities.
AB - An efficient and inexpensive service has been developed for the monitoring of fishing vessels in West Africa using Earth Observation (EO) data. The service makes use of fast-delivery data from the Synthetic Aperture Radar (SAR) instrument on Sentinel-1 and the Multi Spectral Imager (MSI) on Sentinel-2, detecting objects that differ markedly from their immediate background using a constant false alarm rate (CFAR) test. The selected objects are then discounted from further analysis if they fall within the bespoke land mask or can be shown from time series analysis to be static (signals associated with jetties, oil platforms and "ghost objects" arising from very bright land targets). Detections are matched to, and verified by, AIS data, which provides location and dimensions of ships that are legally in the region. Both matched and un-matched data are then displayed on a web portal for use by the Gulf of Guinea (GoG) state authorities.
KW - Automatic identification system
KW - Illegal fishing
KW - Synthetic Aperture Radar
KW - Vessel detection
UR - http://www.scopus.com/inward/record.url?scp=85064266484&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2018.8519539
DO - 10.1109/IGARSS.2018.8519539
M3 - Conference contribution
AN - SCOPUS:85064266484
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 6875
EP - 6878
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -