I am using Landsat-8-OLI Multispectral images to perform Principal Component Analysis. The aim is to detect noise and reduce dimensionality contained by the spectral bands. The resultant Principal components having new data dimensions with minimum noise will be used in biomass study which involves Multi Regression Analysis. The aim is to ascertain whether there is any potential relationship between biomass samples and PCA components.
The OLI sensor consist of 7 Multi spectral bands including ultra blue (B1) , wavelength spanned between 0.43 - 0.45 micrometer.
Should I exclude Band 1 - Ultra Blue (coastal/aerosol) and run PCA analysis on remaining Six bands (B, G, R, NIR, SWIR 1 & SWIR 2)?