Abstract
Luojia-1 satellite is a new launched night-time light satellite providing 130 m resolution images. To evaluate the additional spatial details of Luojia-1 compared to VIIRS images, we employed road network analysis to compare the two kinds of images in Los Angeles, United States. In the road network analysis, we calculated the correlation coefficients between the distance to the primary road and the image radiance in 228 neighborhood areas, and we found that the average Spearman correlation coefficient is −0.3843 for Luojia-1 and −0.0974 for VIIRS, while those of the Pearson correlation coefficients are −0.3129 and −0.1370, respectively. In addition, we also calculated the Pearson correlation coefficients between the distance to the road intersections and the image radiance, and the average coefficient for Luojia-1 is −0.2967 and that of the VIIRS is −0.1100. The road network analysis suggests that the night-time light radiance in Luojia-1 is stronger correlated to the road network than VIIRS. All these findings show that Luojia-1 images provide richer information to reflect urban structures than VIIRS, indicating that Luojia-1 images have potential for studying urban socioeconomic parameters at a fine resolution.
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Acknowledgements
This research was supported by Youth Fund of Wuhan Donghu University under grant no. 2018dhsk004 and Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, under grant no. 18T06.
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Xu, H., Li, X. (2020). Evaluating Spatial Details of Luojia-1 Night-Time Images Using Road Network Analysis. 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_9
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