Our paper "Geospatial time machine: a generative model to enhance spectral-temporal data resolution" is published in IEEE Transactions on Geoscience and Remote Sensing (Vol. 63, pp. 1-13).

With V. Sagan, S. Sarkar, A. Stylianou, and F. Esposito, we introduce a generative approach that fills spectral and temporal gaps in satellite imagery time series — letting us "look back" at moments the sensors missed. [Paper link]