TY - GEN
T1 - Detecting red tides in the eastern seto inland sea with satellite ocean color imagery
AU - Takahashi, W.
AU - Kawamura, H.
AU - Omura, T.
AU - Furuya, K.
PY - 2005
Y1 - 2005
N2 - A multi-spectral classification scheme is proposed to identify areas with red tides through the satellite ocean color imagery by the sea-viewing wide field-of-view sensor (SeaWiFS). The eastern Seto Inland Sea, where serious red tides frequently occur, was studied. Colors of the water around a red tide or those emerging before/after that are referred to as "background ocean colors (hereafter BOCs)", and BOCs are estimated as the monthly mean of normalized water-leaving radiances (nLw) with 0.01 degree spatial resolution with SeaWiFS imagery. Criteria for detection of red tide pixels are established through analyses of the features of nLw (at 443, 490, 510, and 555nm) anomalies from BOCs and the nLw spectra together with the red tide records in Osaka Bay. The proposed scheme efficiently indicates the presence of red tides for individual match-ups with 92% accuracy, and this suggests that the scheme is appropriate to detect red tides for optically complex coastal water of Osaka Bay.
AB - A multi-spectral classification scheme is proposed to identify areas with red tides through the satellite ocean color imagery by the sea-viewing wide field-of-view sensor (SeaWiFS). The eastern Seto Inland Sea, where serious red tides frequently occur, was studied. Colors of the water around a red tide or those emerging before/after that are referred to as "background ocean colors (hereafter BOCs)", and BOCs are estimated as the monthly mean of normalized water-leaving radiances (nLw) with 0.01 degree spatial resolution with SeaWiFS imagery. Criteria for detection of red tide pixels are established through analyses of the features of nLw (at 443, 490, 510, and 555nm) anomalies from BOCs and the nLw spectra together with the red tide records in Osaka Bay. The proposed scheme efficiently indicates the presence of red tides for individual match-ups with 92% accuracy, and this suggests that the scheme is appropriate to detect red tides for optically complex coastal water of Osaka Bay.
KW - Red tides
KW - Satellite ocean color remote sensing
KW - SeaWiFS
KW - Seto Inland Sea
UR - http://www.scopus.com/inward/record.url?scp=33745713283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745713283&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2005.1526386
DO - 10.1109/IGARSS.2005.1526386
M3 - Conference contribution
AN - SCOPUS:33745713283
SN - 0780390504
SN - 9780780390508
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1924
EP - 1927
BT - 25th Anniversary IGARSS 2005
T2 - 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
Y2 - 25 July 2005 through 29 July 2005
ER -