[Objective] The common problem in the processing of remote sensing images, that is different classification algorithms may lead to different identification results of ground objects, was discussed, to provide reference information of urban change and decision making based on LULC analysis.[Methods] In this research GlobeLand 30 product and CA_Markov model were selected to monitor and analyze land use degree, entropy change of land use, spatial-temporal change of land use in Zhengzhou area from 2000 to 2020.[Results] (1) There was a great land use degree change from 2000 to 2010. During this period human-made cover type was increasing greatly; on the contrary, wetland, farmland, grassland were in a decreasing trend. Where human-made earth surface and wetland changed significantly. (2) The amount of land use was 8.04, entropy of land use and equilibrium degree were promoted, while dominance index decreased. (3) There were 68.88% and 49.99% increases for human-made earth surface and grass land respectively, and there were more than 30% increases for both of water surface and wetland.[Conclusion] There was a significant difference of landscape from 2000 to 2020. The complexity of land use was increasing, and the proportionality of land use raised.