Extraction and analysis of urban green space based on remote sensing images

Xiaolei Ju; Wenxin Li

doi:10.1117/12.2635382

6 May 2022 Extraction and analysis of urban green space based on remote sensing images

Xiaolei Ju, Wenxin Li

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122560O (2022) https://doi.org/10.1117/12.2635382
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

Urban green space is a vital building facility that provides a source of oxygen for the city to maintain the ecological environment in the process of urban construction. Its construction status plays an important role in improving the overall environmental appearance of the city. Based on Landsat 8 images, this paper extracted urban green space information in Nanjing. The images of Nanjing in 2013 and 2017 were processed and analyzed, and the green space information was extracted by using the method of supervised classification for atmospheric correction, image fusion and image cropping of the images. The final result shows that the green space area decreased gradually from 2013 to 2017 due to the rapid development of the city. It can be seen that the development of Nanjing itself has led to the continuous reduction of green space in the original city.

Citation Download Citation

Xiaolei Ju and Wenxin Li "Extraction and analysis of urban green space based on remote sensing images", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122560O (6 May 2022); https://doi.org/10.1117/12.2635382

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