Remote Sensing Monitoring of Land Use Change in Jinan

Abstract

The study of land use change has great theoretical and practical significance for the effective and rational utilization of regional land resources and the governance of ecological environment. Take Jinan City as the study area, and the landsat8 OLI images in 2013, 2017 and 2020 as the data source, use ENVI software to preprocess the images (radiometric calibration, atmospheric correction, splicing and clipping), then use the maximum likelihood method in supervised classification to extract the land use type area and distribution information in the study area in three years, and finally compare the image classification results in three years, so as to realize the dynamic monitoring of land use change in this area. Through the analysis of the research results, it is found that in the three periods, the area of forest land, construction land and water body increase, the area of cultivated land decreases and then increases, and the area of bare land increases first and then decreases, which can provide a theoretical basis for the development planning of land use in the next step.