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Nighttime light (NTL) remote sensing imagery supports diverse applications, from demographic analysis to urban studies, but coarse spatial resolution (500 m) of NPP-VIIRS NTL data limits fine-scale analyses. This study presents a CNN-based downscaling approach to enhance NTL data resolution.The proposed method improved NPP-VIIRS resolution from 500 m to 120 m, yielding more detailed spatial information and clearer boundaries. Evaluated via urban built-up area extraction, the downscaled data outperformed original NTL data in overall accuracy and spatial detail, effectively mitigating resolution-related limitations.The enhanced-resolution NTL data demonstrates strong potential for detailed urban mapping and socioeconomic estimation. Future work will address multi-source temporal consistency challenges through real-time social sensing integration and advanced fusion techniques.
Wang et al. (Tue,) studied this question.