Supervised Conversion from Landsat-8 Images to Sentinel-2 Images with Deep Learning

In a specific remote sensing study design, the utilization of images from a particular satellite is necessary. However, the images might be unavailable in a certain time range. Therefore, a conversion method from available remote sensing images at the time range is required. In this paper, we proposed machine learning models that are capable to convert Landsat-8 images to Sentinel-2 images. The models are inspired by the advancement of super-resolution model based on Deep learning. The result of this study shows that the proposed models can predict Sentinel-2 images which are quantitatively and qualitatively similar to the original images.

European Journal of Remote Sensing

Sani M. Isa, Suharjito, Gede Putera Kusuma, Tjeng Wawan Cenggoro

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