MSDCN-LSTF: A Multiscale and Multidimensional Collaboration Network for Land Surface Temperature Spatiotemporal Fusion Based on Transformer and Convolution (opens in new tab)

High spatiotemporal resolution land surface temperature (LST) data are crucial for dynamic environmental monitoring. Spatiotemporal fusion is an effective means to obtain high spatiotemporal resolution remote sensing data. However, existing spatiotemporal fusion methods are still insufficient in dealing with the uncertain temporal fluctuations and complex spatial distribution of LST data. In this article, we propose a multiscale and multidimensional collaboration network combining a convoluti...