The multi-satellite remote sensing data, including sea surface temperature (SST), ocean color (chlorophyll-a concentration, Chl-a), and sea surface height (SSH) during 1997 to 2007 were applied to examine the variability of the Kuroshio current and in relation to the catch per unit effort (CPUE) distribution of tuna-species in this study. The specific contour, empirical orthogonal function (EOF) and wavelet analysis were used, respectively. As a result, the scatter plots of SST and Chl-a data of the Kuroshio could be identified to determine the seasonal Chl-a indicators of the left wall of the Kuroshio current (LWKC). The Chl-a indicator of LWKC is 0.2 mg/m3 in spring and autumn. The Chl-a indicator of LWKC is 0.15 mg/m3 and 0.4 mg/m3 in summer and winter, respectively. Those seasonal Chl-a indicators showed that the Kuroshio usually come close to the east of Taiwan in winter and move toward offshore at a distance of 15-45 nautical miles in summer. Moreover, the current velocities of the Kuroshio mainstream derived from Argos satellite drifters ranged from 75 to 150 cm/sec, corresponding with the SSH data ranged from 220 to 260 cm. Then the specific 230 and 240 cm contours of SSH had been used to be the indicators of the Kuroshio axis during the summer and winter periods. The Kuroshio axes had the significant displacement in the east of Taiwan and south of Japan. But the Kuroshio axis had a relative stable distribution in the east of East China Sea. The Kuroshio axes derived from Argos drifters had also shown the Kuroshio usually come close to the east of Taiwan in winter and move toward offshore in summer. Additionally, the EOF analysis of monthly SSH data during 2003 to 2007 had determined the first EOF mode accounted for 87.4 % of total variance and revealed the interannual and typical highly SSH distribution of the Kuroshio. Finally, the catch distribution of tuna species in relation to the variation of the Kuroshio was examined in this study. The monthly CPUE distributions of tuna species were overlaid to the SSH anomaly images had shown that the higher tuna catch (its average CPUE more than 4-5 fishes/100 hooks) associated with the negative SSH anomaly of the Kuroshio from January to March. But the higher billfish catch (its average CPUE less than 3 fishes/100 hooks) was found to correspond with the positive SSh anomaly.Keywords: Satellite remote sensing, Sea surface height, Geographic information system, Empirical orthogonal function, Tuna species