Streamlining and Correcting of Class Based Uncertainties #96
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# Conflicts: # Source/ProcessInstrumentUncertainties.py
…sis including some minor reformatting of code for clarity
…Solved bugs with Class based code for TriOS and HyperOCR sensors. Interpolation of uncertainties moved until after the process. Input instrument data is interpolated to the radcal wavebands before a class based uncertainty analysis. Once Es, Li, Lt, Lw, & Rrs uncertainties have been propagated, they are interpolated to the common wavebands of the corrected radiance data.
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Corrections made to standard deviation calculations in ProcessL2. Input errors taken from characterisation files are now correctly converted to absolute units for Class based analysis. Interpolation and filtering of uncertainties moved to occur after uncertainty propagation for Class based analysis.
Tested on Trios_NOTRACKER and Seabird_pySAS datasets using Class based and FRM branches.
Solves issues #86