Abstract: The Liaodong Bay is one of the three big bays in the Bohai Sea. It can be affected frequently by large area of sea ice disasters in every winter season. To study the correlation and mutual influences between the sea ice and the air temperature, sea surface temperature and salinity, the remote sensing data of Sentinel-1 A/B obtained in winters from 2015 to 2023 are used, the SAR image textural features are extracted by contrasting Landsat-8 satellite imagery and utilizing gray scale co-occurrence matrix, the precisions of classification methods such as neural network, support vector machine and maximum likelihood classification are compared and the information about sea ice in the Liaodong Bay from 2015 to 2023 is summarized. The results show that for the Sentinel-1 A/B data, the maximum likelihood classification method has the highest precision, being up to 82.75%. The sea ice in the Liaodong Bay begin to form usually at the end of December or the beginning of January and follows a freezing order of north to south and near-shore to far-shore. The sea ice melting order is, however, from west to east and far-shore to near-shore. In the Liaodong Bay the Pearson correlation coefficient is −0.502 (P<0.01) between the air temperature and the sea ice and −0.553 (P<0.01) between the sea surface temperature and the sea ice, indicating that the sea ice in the Liaodong Bay has a significant negative correlation both to the air temperature and to the sea surface temperature. This suggests that both the air temperature and the sea surface temperature have an impact on the formation, development and melting process of the sea ice, of which the sea surface temperature may exert an even greater influence. As to the salinity, its influence on the sea ice exhibits a certain lag.