In this study, the semi-automatic detection and geostatistical technology will bedeveloped to apply for hydrographic features (i.e. cold & warm eddy, fronts) extractionin multi-satellite images, which include the pseudo-color sea surface temperature images,ocean color images and their contour maps. The value-added satellite images nowcastwill be announced to the fisherman to supply more helpful and serviceful fishing groundinformation, especially in the mullet fishery industry.Integrated the multi-satellite images and in-situ hydrographic data by geographicinformation system (GIS) will expect to help decrease the coast of waste oil and promotethe efficiency of fishing operation. In addition, the instable mullet-fishing production hadbeen caused by the global warming and the inappropriate fishing method from theChina's fisherman. This study will analyze the yearly migration and distribution, age andsize structure dynamics and fishery-oceanographic data of the mullet to understand thefish population spatial-temporal distribution and the mechanism of the fishing groundformation.