Abstract
As the urbanization process continues to accelerate, this paper studies the development of time and space in the built-up area of Shenyang City based on Landsat image data to analyze the urban expansion, study the urban spatial layout and rationally plan urban development. The study first preprocesses the images. The multiresolution segmentation of the study area is carried out by using the classification network evolution algorithm, and the unsupervised decision tree classification method is used to extract the built-up area of Shenyang City. Finally, using the landscape index to study the urban development and changes in Shenyang. According to the experimental results, the Percentage of Landscape (PLAND) of urban built-up areas in Shenyang from 2007 to 2014 increased by 7.00%. However, it merely increased by 1.17% from 2014 to 2017. The overall expansion rate of the built-up area in Shenyang City showed a trend of “first fast and then slow”.
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Acknowledgments
This study was supported by Scientific Research Project of Education Department of Liaoning Province of China: Analysis and Research on Polycentric Urbanization in Liaoning Province with Traffic Big Data (No. lnqn201917).
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Xie, Z., Ma, Y., Su, G., Shan, J. (2020). Study on Space-Time Development of Urban Areas in Shenyang Using Landsat Remote Sensing Data. In: Xie, Y., Li, Y., Yang, J., Xu, J., Deng, Y. (eds) Geoinformatics in Sustainable Ecosystem and Society. GSES GeoAI 2019 2019. Communications in Computer and Information Science, vol 1228. Springer, Singapore. https://doi.org/10.1007/978-981-15-6106-1_26
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DOI: https://doi.org/10.1007/978-981-15-6106-1_26
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