Abstract
In this paper, the transfer matrix of Landsat 8 image data were used to describe the dynamic land use change from 2014 to 2019. After the pro-processing, including radiometric calibration, geometric correction, image enhancement. Moreover, supervised classification which was classified by six samples, including cultivated land, forest land, construction land, water system and unused land were applied and the transfer matrix of 2014 and 2019 were obtained. The results indicated that from 2014 to 2019, the area of construction land, grass land, forest land and unused land has been increasing with the area of cultivated land and water system decreasing. The cultivated land has suffered the most, and construction land has increased the most.
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