TY - GEN
T1 - Analysis of Coastal Aquaculture Areas Using Alos-2 Palsar-2 Full Polarimetric Data
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
AU - Murata, Hiroki
AU - Sawayama, Shuhei
AU - Komatsu, Teruhisa
AU - Yonezawa, Chinatsu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Marine spatial planning (MSP) has been proposed to facilitate the sustainable use of oceans. To implement MSP in coastal zones, we need to understand the current status of aquaculture, in order to plan for its future. In Japan, coastal aquaculture is based on fishery rights, but it is hard to establish the existing situation as there are so many aquaculture facilities in place. In this study, we used full polarimetric, L-band PALSAR-2 data to identify aquaculture areas. We calculated HH and HV backscattering coefficients, and applied polarimetric decomposition analysis to three-component scattering models. The HV backscattering coefficient successfully discriminated aquaculture areas from the sea surface, while the HH backscattering coefficient was mostly able to discriminate between raft and longline aquaculture areas. The three-component scattering model was then able to discriminate between raft and longline aquaculture types in areas where the HH backscattering coefficient could not. Weather conditions affected the sea surface and therefore influenced the outcomes of our analyses.
AB - Marine spatial planning (MSP) has been proposed to facilitate the sustainable use of oceans. To implement MSP in coastal zones, we need to understand the current status of aquaculture, in order to plan for its future. In Japan, coastal aquaculture is based on fishery rights, but it is hard to establish the existing situation as there are so many aquaculture facilities in place. In this study, we used full polarimetric, L-band PALSAR-2 data to identify aquaculture areas. We calculated HH and HV backscattering coefficients, and applied polarimetric decomposition analysis to three-component scattering models. The HV backscattering coefficient successfully discriminated aquaculture areas from the sea surface, while the HH backscattering coefficient was mostly able to discriminate between raft and longline aquaculture areas. The three-component scattering model was then able to discriminate between raft and longline aquaculture types in areas where the HH backscattering coefficient could not. Weather conditions affected the sea surface and therefore influenced the outcomes of our analyses.
KW - Backscattering coefficient
KW - Marine spatial planning (MSP)
KW - Polarimetric decomposition
UR - http://www.scopus.com/inward/record.url?scp=85077680136&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077680136&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2019.8897966
DO - 10.1109/IGARSS.2019.8897966
M3 - Conference contribution
AN - SCOPUS:85077680136
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3273
EP - 3276
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 July 2019 through 2 August 2019
ER -