Research on the identification method of inefficient land in Baiyun District, Guangzhou based on multisource data

Haoran Gui; Fan Yu; Huawei Wan

doi:10.1117/12.3059032

2 January 2025 Research on the identification method of inefficient land in Baiyun District, Guangzhou based on multisource data

Haoran Gui, Fan Yu, Huawei Wan

Author Affiliations +

Proceedings Volume 13514, International Conference on Remote Sensing and Digital Earth (RSDE 2024); 135140Q (2025) https://doi.org/10.1117/12.3059032
Event: 2024 International Conference on Remote Sensing and Digital Earth, 2024, Chengdu, China

Abstract

In the backdrop of swift urban expansion, as urban areas rapidly develop, the management of land designated for construction has emerged as the principal method for managing urban territory. However, this process has led to inefficient utilization of building land, resulting in a considerable quantity of underutilized land that hinders the city's future growth. Consequently, an evaluation index system tailored to local conditions has been established for identifying inefficiently used urban land. This system utilizes multisource statistics to facilitate spatial intersection assessment regarding building land The results indicate that the identification accuracy of inefficiently used land in the study area is 85.265%, this inefficiently used land is primarily concentrated in the central, western, and northern areas within the city. Currently, the city is in the later stages of urbanization, characterized by a slower pace of urbanization but a rising level of economic development.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haoran Gui, Fan Yu, and Huawei Wan "Research on the identification method of inefficient land in Baiyun District, Guangzhou based on multisource data", Proc. SPIE 13514, International Conference on Remote Sensing and Digital Earth (RSDE 2024), 135140Q (2 January 2025); https://doi.org/10.1117/12.3059032

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KEYWORDS

Remote sensing

Matrices

Geographic information systems

Roads

Image classification

Industry

Spatial analysis

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