DATA PROCESSING & ANALYSIS. DATA ANALYSIS ADDITIONAL DATA PROCESSING Dark Corrections Interpolate to bins of wavelengths Quality Control (tilting corrections,

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Presentation transcript:

DATA PROCESSING & ANALYSIS

DATA ANALYSIS ADDITIONAL DATA PROCESSING Dark Corrections Interpolate to bins of wavelengths Quality Control (tilting corrections, etc) Align data in time HyperSAS and HyperPro HyperSAS and HyperPro Comparison with other radiometric sensors Calculate median and std Determine AOPs Closure Analysis Raw Data Level 2 Processed Data SOFTWARE: SatView/SatCon Convert from counts to physical units KPARRRrs

Raw Data DATA ANALYSIS DATA PROCESSING Dark corrections Interpolate to bins of wavelengths Quality Control Align data in time WISP WISP Comparison with other radiometric sensors Calculate median and std Determine AOPs Closure analysis Level 2 Processed Data Send raw data directly to the WISP manufacturer KPARRRrs

DATA ANALYSIS ADDITIONAL DATA PROCESSING Dark Corrections Interpolate to bins of wavelengths Quality Control (tilting corrections, etc) Align data in time HyperSAS and HyperPro HyperSAS and HyperPro Comparison with other radiometric sensors Calculate median and std Determine AOPs Closure Analysis Raw Data Level 2 Processed Data SOFTWARE: SatView/SatCon Convert from counts to physical units KPARRRrs

Raw data in digital counts Instrument calibration files Processed data in physical unit Raw Data Level 2 Processed Data SOFTWARE

Two files are created for each sensor, one containing all dark measurements and the other, the light measurements The dark measurement is used as baseline. Subtract these values from the light spectrum. DATA PROCESSING Dark Corrections Interpolate to bins of wavelengths Quality Control Align data in time

Linear interpolation to the wavelength of one of the sensors DATA PROCESSING Dark Corrections Interpolate to bins of wavelengths Quality Control Align data in time

Plot data over time to identify inconsistent data that should be deleted DATA PROCESSING Dark Corrections Interpolate to bins of wavelengths Quality Control Align data in time

Example of the effect of the tilt angle on Rrs DATA PROCESSING Dark Corrections Interpolate to bins of wavelengths Quality Control Align data in time

Remove the data with tilt angles > 5 o DATA PROCESSING Dark Corrections Interpolate to bins of wavelengths Quality Control Align data in time

This figure shows an example of disagreeing sensor measurements. These may be due to strong wave conditions at the time of measurement, operator error, etc. DATA ANALYSIS Comparison with other radiometric sensors EdLskyLsfc This figure shows an example of more consistent and stable measurements. It is important to determine the offset between the different instruments, if any. To do this, take measurements under controlled light conditions (for example, in a laboratory with a known light source).

This example shows the median results for Lw and Rrs spectra taken over a 10 minute period and the standard deviation for the three different data sets. DATA ANALYSIS Calculate median and std Ed Lw

Remote Sensing Reflectance: HyperSAS & WISP: Rrs = HyperPRO: Lee Method Rrs= DATA ANALYSIS Determine AOPs An example of Rrs spectra for the three different instruments is shown.

The differences found between the three instruments, could be due to several factors: initial calibration, the limitations of each instruments’ measurement capabilities, variable field conditions, operator error during set- up/measurement/deployment, etc. DATA ANALYSIS Closure Analysis Normalized Rrs

DATA ANALYSIS Inversion Application Chlorophyll (mg/m 3 ) DateLabInversed Jul 15~ Jul 27~ Interesting fact is that inversed results are always better when using WISP- measured R rs (λ). The estimated non-water absorption a nw (λ) and Chl concentration with WISP R rs (λ) is shown above for dock test on Jul 15 and Jul 27.