A high-resolution spatialization of population based on single house and VNP46A2: a case study of Liangzhou District of Wuwei City, Gansu Province

Xiaoxue Li; Xiao Zhang; Anguo Liu; Dagui Li

doi:10.1117/12.3029780

21 June 2024 A high-resolution spatialization of population based on single house and VNP46A2: a case study of Liangzhou District of Wuwei City, Gansu Province

Xiaoxue Li, Xiao Zhang, Anguo Liu, Dagui Li

Author Affiliations +

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131671T (2024) https://doi.org/10.1117/12.3029780
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

In order to improve the population grid data of Gansu Earthquake Agency, this paper takes Liangzhou District as the research area. According to the principle of 'there are people in houses, no people in houses', a linear model is established by using the area of single houses and night light VNP46A2. Through comparison with the area method, it is found that the population distribution obtained by the linear model with night light is more consistent with the actual situation. Moreover, the accuracy is also higher than that of the population data obtained only by the calculation of the building area, which indicates the feasibility of the night light VNP46A2 data in the economically developed township scale in Gansu Province, and finds a simple and high portability method for the township level fine population spatial work in Gansu Province.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoxue Li, Xiao Zhang, Anguo Liu, and Dagui Li "A high-resolution spatialization of population based on single house and VNP46A2: a case study of Liangzhou District of Wuwei City, Gansu Province", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131671T (21 June 2024); https://doi.org/10.1117/12.3029780

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