LION: Spatiotemporal Data Fusion Model for Nighttime Light

Nighttime light (NTL) data holds irreplaceable value in research related to human activities, sustainable development, etc. However, the temporal and spatial continuity of high-resolution NTL data is challenging to meet the demands of large-scale applications. Spatiotemporal data fusion methods, by integrating low-resolution and high-resolution data, can fill in missing high-resolution data. Nevertheless, previous spatiotemporal data fusion research has primarily focused on multispectral data and face challenges when directly applied to NTL data. This research proposes a spatiotemporal fusion method specifically for NTL data, named the "LIght ON spatiotemporal data fusion" (LION) model. Experimental results indicate that LION demonstrated potential in predicting abrupt changes in NTL.