The Chub mackerel （Scomber japonicus） in Northwest Pacific Ocean holds significant economic value. It is important to better manage its resources by understanding its suitable habitat distribution. This study transformed acoustic data collected from the high seas fishery survey during the summer of 2021 into acoustic index suitable for habitat modeling. By integrating satellite remote sensing data on sea surface temperature （SST）, sea surface salinity （SSS）, sea surface height （SSH）, and chlorophyll a mass concentration （Chl. a）, this study analyzed the relationship between suitable habitat and marine environmental factors. The ranges of environmental factors corresponding to suitable habitat were analyzed. Habitat suitability index models were established using both arithmetic mean method and geometric mean method. Their performance was compared through 500 iterations of cross-validation, and the suitable habitat distribution map was developed. The results indicated that the suitable ranges for SST, SSS, SSH, and Chl. a were respectively 22.51-25.09 ℃, 34.09-34.65, 0.48-1.14 m, and 0.13-0.23 mg/m³. The model developed using the arithmetic mean method performed superiorly in terms of regression slope, R² and AIC, proving more appropriate for modeling suitable habitat for Chub mackerel. Suitable habitat was primarily concentrated south of 38°N, near the Kuroshio current.