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An Introduction to Radiometry: Taking Measurements, Getting Closure, and Data Applications

An Introduction to Radiometry: Taking Measurements, Getting Closure, and Data Applications. Part I: Guide to Radiometric Measurements. An Introduction to Radiometry: Taking Measurements, Getting Closure, and Data Applications. Part II: Data Processing and Analysis.

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An Introduction to Radiometry: Taking Measurements, Getting Closure, and Data Applications

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  1. An Introduction to Radiometry:Taking Measurements, Getting Closure, and Data Applications Part I: Guide to Radiometric Measurements

  2. An Introduction to Radiometry:Taking Measurements, Getting Closure, and Data Applications Part II: Data Processing and Analysis

  3. An Introduction to Radiometry:Taking Measurements, Getting Closure, and Data Applications Part III: Closure and Application

  4. A REMIND… Dock Test, 07-27-13

  5. Dock Test, 07-27-13

  6. WISP and HyperPro ‘Transformation’ • Assumed Dock Test was the most ‘ideal’ control conditions • Assumed HyperSAS was accurate enough to be the ‘right’ system • Used Dock Test spectra for SAS, Pro, and WISP to get ratios Pro/SAS and WISP/SAS for all wavelengths (3 nm bins) • Applied Dock Test ratios to transform cruise data • Assumed ρsky= 0.028

  7. Cruise 1: River Station

  8. Before transformation

  9. After transformation

  10. After transformation

  11. Three Lw’s can match if we use ρsky=0.021 instead of 0.028. Therefore, this means we overcorrected sky radiance initially (?).

  12. Three Rrs’s can match if we use ρsky=0.021 instead of 0.028. Therefore, this means we overcorrected sky radiance initially (?).

  13. Cruise 1: Ocean Station

  14. Inversion Application Example Rrs(λ) anw(λ), bbp(λ) Pigments Interesting fact is that inversed results are always better when using WISP-measured Rrs(λ). The estimated non-water absorption anw(λ) and Chl concentration with WISP Rrs(λ) is shown above for dock test on Jul 15 and Jul 27.

  15. CLOSURE ANALYSIS

  16. Differencesbetweeninstruments’ response couldbeexplainedby: • Offsetsbetweensensors, • Spatialvariationsduringdeployment, • Notaccurateinformationaboutatmosphericconditions and sea levelstate, • Inappropriateanglecorrections, • Handlingerrors (especiallyfor WISP), • … Duetothelack of more information, some of thecorrectionswe can perform are onlyassumptions and wecan’tjustifythem. • Incorrectvalues of sea-surfacereflectance factor, ρ Hydrolightmodelprovides a veryusefultoolwhich can beusedforthispurpose.

  17. CRUISE 2- “OFFSHORE” STATION HyperPRO, noisy and uselesssignal

  18. ECOLIGHT SIMULATIONS: Inputs: IOPs (aP,bb,aCDOM) Simulationsunderdifferentcloudcoverage and windspeeds 10% 16%

  19. Sameshapebetweenspectra, differentmagnitude. 1) ThemeasuredRrs at [720-750] significantlyhigherthanzero open ocean  “dark pixel” correction 2) Imprecisesky and measurementconditions, unknown try withanother rho values

  20. . Mobley(1999) ρ≈0.034 whenφ ≈ 135º, θ ≈43º and U=5 m/s

  21. CRUISE 2- RIVER STATION • Full overcast(no “dark pixel” correctionsnorchange of sea-surfacereflectance factor).

  22. Lab/ Dock test usingtheEdsensorsunderthesame light conditions EdPRO= 1.1Ed SAS • Euclidean_dist [Ecolight-HyperPRO]= 0.0036

  23. THANK YOU!

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