ISBN: 978-981-18-7950-0 DOI: 10.18178/wcse.2023.06.037
Remote Sensing Monitoring of Land Use Change in Jinan City
Abstract—Studying land use change is an efficient means to deal with the problem of human and land in today's region. Therefore, this paper takes Jinan as the research area, taking Landsat8 OLI images in 2014, 2018 and 2021 as the data source, and uses ENVI software to preprocess the images (radiation calibration, atmospheric correction, geometric correction, image fusion, splicing and cropping), then uses the maximum likelihood method in supervised classification to study the area and distribution information of land use types in different periods, and finally compares the image classification results in the three periods. The study shows that during these three periods, the area of cultivated land and construction land has been increasing, the area of forest land and water body has decreased first and then increased, while the area of bare land has been decreasing. This result can provide theoretical basis for post-urban planning and sustainable development ecological environment management.
Index Terms—land use change, Landsat8 remote sensing image, Maximum likelihood method, dynamic monitoring
Rui Wang, LeTian Ma
School of Civil Engineering, Shandong Jiaotong University, CHINA
Cite: Rui Wang, LeTian Ma, "Remote Sensing Monitoring of Land Use Change in Jinan City" Proceedings of 2023 the 13th International Workshop on Computer Science and Engineering (WCSE 2023), pp. 254-258, June 16-18, 2023.