Analysis of Driving Forces for Land Cover Change and Urban Land Expansion in Dianchi Lake Basin Based on GEE

This study takes Dianchi Lake Basin as the study area. Landsat remote sensing images are selected based on Google Earth Engine cloud platform. Support vector machine classification method is used to extract forest, grass, farmland, water, construction land, other unused land. Administrative divisions were used as a unit to analyse the characteristics of land cover changes in 1988–2018. The entropy method and grey correlation method are used to analyze the driving forces affecting the expansion of construction land in Dianchi Lake Basin in different time periods. The results showed that the area of forest land, construction land and other unused land in Dianchi Lake Basin increased from 1988 to 2018, while the area of grassland, farmland and water body decreased. From 1988 to 2018, construction land was the largest transfer type, and the lose area of forest and grassland was large. From 1998 to 2018, the most drastic changes in land cover in Dianchi Lake basin were Guandu District, Wuhua District and Chenggong District, while the process of land cover change in other districts was relatively slow. From 1988 to 2018, the 3 factors of per capita road paving area, total sales of social products, and total passenger traffic were highly correlated with construction land; from 1988 to 2008, the proportion of economic driving factors and population driving factors high; from 2008 to 2018, the driving factors of education and health conditions and the driving factors of infrastructure construction contributed a relatively high proportion.