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Surrogate models save orders of magnitude in computing time so that scientists can quickly capture the essential attributes of complex simulations. In the context of remote sensing, we examine the hypothesis that a DL emulator performs credibly and achieves similar computational performance compared to a more traditional form of model order reduction.

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