Abstract: Based on the remote sensing images of 4 periods from 2001 to 2019, remote sensing images were interpreted through a combination of supervised classification, modification of visual interpretation and investigation in field, and the transfer matrix of landscape area was constructed. Using landscape indices, driving forces analysis and FLUS model, temporal and spatial variation and simulation of landscape pattern for study area were analyzed. The results show that from 2001 to 2019, the cropland area was mainly converted into urban, human settlement and construction land, the wood land was mainly converted into cropland, and the water area was mainly converted into urban park green space. The integrated landscape fragmentation has become more serious in the study area, the connectivity has decreased in each of landscape types, the landscape has developed dispersedly, and the dominance of most advantageous area of cropland has decreased gradually. The regional GDP, second industrial output and tertiary industry output were the main driving forces for the landscape pattern change in the study area. The urban and rural residential and industrial and mining land in the study area mainly expanded to the north and the East.