Analysis on Spatio-Temporal Changes of the Land Covers in Shenyang

Abstract

Taking Shenyang as the research object, the temporal and spatial changes of land cover in Shenyang city were studied by using four Landsat series remote sensing images in 1989, 2000, 2010 and 2016. The maximum likelihood method is used to classify the land cover in the study area, and the classification data of all kinds of land are analyzed. A Markov model is set up to predict the land cover change in Shenyang in the next 14 years. The results show that the land cover change in Shenyang is significant, in which the area of construction land is increased in 2000–2010 years, the area of cropland is increased and the area of woodland is reduced. The result of Markov forecast shows that the land cover pattern of the inner Shenyang city will be constantly changing in the next 15 years.