Analysis of Regional Economic Development Based on Remote Sensing Images

As the carrier of economic activities, land resource is an indispensable production factor of economic development. Economic growth leads to increased demand for land and changes in land utilization form. Therefore, changes in land use and land cover can reflect regional economic development situations to some extent. This paper proposed a method to predict regional economic situations based on remote sensing images, in which land use and land cover data is extracted by remote sensing images classification. Taking Zhoushan City as study area, the land use and land cover information from 2000 to 2015 was obtained through Landsat satellite images and then was used to construct regional economic development prediction models for 7 economic indexes. The results showed that the prediction errors of gross domestic product, products of primary industry, products of secondary industry, products of tertiary industry, fixed assets investment, gross output value of fisheries, and total tourist income are 7.8%, 9.11%, 6.93%, 7.74%, 15.31%, 7.29%, 11.76%, respectively.