Satellite observation has been an important way to understanding the variation of marine environments. It is noted that the satellite-retrieved ocean color products, such as the chlorophyll, have some missing data on large area where the clouds and heavy aerosols covered or other reasons. In order to monitor their changes and assess their influence on the marine ecosystems or climate, the long-term synchronous and full covered data are needed. The Geostationary Ocean Color Image (GOCI), which is one of sensors onboard COMS Geostationary satellite, observes the East China Sea hourly during the daytime (8 times observation in daytime) and provides nice opportunity to show the diurnal variation of the marine environment which different from the multi-satellite observations during a day. In this study, the hourly remote sensing data of Chlorophyll-a from July 19 to September 30, 2016 in the East China Sea is reconstructed and reanalyzed using the Data Interpolation Empirical Orthogonal Functions (DINEOF). The missing Chlorophyll-a data has been filled and the good and optimal reanalyzed image can be obtained, when considering the hourly continuous GOCI observations. Some detailed features can be found and the diurnal change of Chlorophyll-a can be shown from the reanalyzed images. In the future, the re-analyzed chlorophyll-a products could reveal its tempo-spatial variation features basically and can describe or reappear the Chlorophyll-a distribution characteristics in multi-scale processes.