UrbanDIFF: A Denoising Diffusion Model for Spatial Gap Filling of Urban Land Surface Temperature Under Dense Cloud Cover

This article introduces UrbanDIFF, a denoising diffusion model designed to address the challenge of missing data in urban land surface temperature (LST) measurements due to cloud cover. The research focuses on spatial gap filling, which is crucial for accurate urban climate studies and environmental monitoring. The use of a diffusion model suggests an innovative approach to handling the complexities of LST data and cloud interference.

• •UrbanDIFF is a denoising diffusion model.
• •It addresses the problem of missing LST data due to cloud cover.
• •The research focuses on spatial gap filling for urban climate studies.