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It would be advantageous to train multi-angle, spectral output emulators with the same basis functions. Basically, the PCA is done in a fairly large number of multi-angle spectra, including a significant amount of ground (LAI=0) spectra. Additionally, we could use the first two basis functions to be the soil, an then add the actual PCA components (so that we have direct access to the soil spectra).
A second thing is that for a multivariate emulator where all individual emulators have the same input training set, the distance metric is the same, so we can re-use this calculation of the K matrix for all emulators
The text was updated successfully, but these errors were encountered:
It would be advantageous to train multi-angle, spectral output emulators with the same basis functions. Basically, the PCA is done in a fairly large number of multi-angle spectra, including a significant amount of ground (LAI=0) spectra. Additionally, we could use the first two basis functions to be the soil, an then add the actual PCA components (so that we have direct access to the soil spectra).
A second thing is that for a multivariate emulator where all individual emulators have the same input training set, the distance metric is the same, so we can re-use this calculation of the K matrix for all emulators
The text was updated successfully, but these errors were encountered: