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A.B. VIIRS (Nov. 20, 2013).

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Presentation on theme: "A.B. VIIRS (Nov. 20, 2013)."— Presentation transcript:

1 A.B. VIIRS Backscattering @551nm (Nov. 20, 2013)

2 GEOCAPE / Northern Gulf of Mexico Cruise July 9-19, 2013 - Scatter Insitu: UMASS/NOAA

3 A.B. C. D. 1:1 Line

4 VIIRS 1815 GMT Bb_551_qaa Rrs Stations – Handheld Radiometer Flowthru Stations – AC9 A B

5 MODIS & VIIRS Very Similar! VIIRS 1815 GMT Bb_551_qaa Flowthru Stations – AC9 19 Stations

6 A. MODIS (1855 GMT) AL MS LA FL B. SNPP VIIRS (1925 GMT) AL MS LA FL 0.5 0.13 0.032 0.0079 0.002 0.0005 m -1

7 GEOCAPE / Northern Gulf of Mexico Cruise September 9-19, 2013 Rrs and IOP Station Locations Insitu: UMASS/NOAA VIIRS Mean Backscattering @551nm (September 9-19, 2013)

8 GEOCAPE / Northern Gulf of Mexico Cruise July 9-19, 2013 - Spectral Insitu: UMASS/NOAA

9 Insitu: UMASS (Lee) & NOAA (Ondrusek) 25 Valid Matchups

10 Insitu: UMASS (Lee) & NOAA (Ondrusek) A.B. C. D.

11 GEOCAPE / Northern Gulf of Mexico Cruise July 9-19, 2013 - Scatter Insitu: UMASS/NOAA

12 GEOCAPE / Northern Gulf of Mexico Cruise July 9-19, 2013 - Spectral

13 NOAA ECOPUC Data (Ondrusek)

14 RV Ocean Color Cruise – November 20, 2013 – Mississippi Sound Rrs and IOP (Surface FlowThru +/- 30 Minutes from Satellites) VIIRS 1815 GMT Bb_551_qaa Rrs Stations – Handheld Radiometer Flowthru Stations – AC9

15 VIIRS Comparison Between MODIS and VIIRS - November 20, 2013 Mississippi Sound QAA Total Backscattering (551nm for VIIRS & 547nm for MODIS Aqua) MODIS Aqua Biloxi, MS Bay St. Lous, MS Slidell, LA Biloxi, MS Bay St. Lous, MS Slidell, LA

16 A.B. C. D. 1:1 1:1 1:1

17 A.B. C. D.

18 R/V Ocean Color Cruise Mississippi Sound November 20, 2013 FlowThru (+/- 30 minutes of early/late satellite pass) MODIS & VIIRS Very Similar! Satellite bb/b Insitu profile bb/b 0.018616497 0.018218296

19 19 Stations

20 R/V Ocean Color Cruise Mississippi Sound November 20, 2013 FlowThru (+/- 30 minutes of early/late satellite pass)

21 R/V Ocean Color Cruise Mississippi Sound November 20, 2013 FlowThru (+/- 30 minutes of early/late satellite pass) MODIS & VIIRS Very Similar!

22 Evaluation of GOCI, MODIS, and VIIRS Imagery Objective Evaluate current NRL processing of GOCI level 1b water leaving radiance (nL w ) Provide an inter-sensor comparison between GOCI, MODIS, and VIIRS remote sensing reflectances Compare GOCI, MODIS, and VIIRS with East China Sea Aeronet Ocean Color (Gageocho and Ieodo) data 22Session 42 Optical Remote Sensing 2014 AGU OCEAN SCIENCES (Crout, et.al.)

23 Evaluation of GOCI, MODIS, and VIIRS Imagery Background - Data MODIS – Processed with MOBY gains VIIRS – Processed with MOBY gains GOCI – Processed with MODIS-SWIR-derived vicarious calibration gains – GOCI data from 4Z GTM (corresponds to local 1 pm) Reduces sun glint and sensor issues Aeronet SeaPrism – Gageocho Aeronet (SeaPrism #624) was moved to Ieodo Results in a data gap from May 2012 – December 2013 The quality control of the data is near real time? 23Session 42 Optical Remote Sensing

24 Evaluation of GOCI, MODIS, and VIIRS Imagery Background - Processing Operational Ocean Color Processing – NRL’s Automated Processing System (APS) based on n2gen software (NRL/NASA R&D) – Level 1b data obtained from NOAA CLASS (MODIS) and NAVO (GOCI and MODIS) – Atmospheric correction using Gordon-Wang NIR with 80 aerosol models – Glint and cloud removal 24Session 42 Optical Remote Sensing

25 Evaluation of GOCI, MODIS, and VIIRS Imagery JD 118 2012 Spectra – Gageocho and Ieodo Session 42 Optical Remote Sensing25 Ieodo Gageocho

26 Evaluation of GOCI, MODIS, and VIIRS Imagery JD 277 2013 Spectra – Gageocho Session 42 Optical Remote Sensing26

27 Evaluation of GOCI, MODIS, and VIIRS Imagery JD 341 2013 spectra – Ieodo Session 42 Optical Remote Sensing27

28 Evaluation of GOCI, MODIS, and VIIRS Imagery All sensors (4Z) time series - rrs 550 Session 42 Optical Remote Sensing28

29 Evaluation of GOCI, MODIS, and VIIRS Imagery - bb 551nm JD 277 Imagery Session 42 Optical Remote Sensing29 GOCI No GainsMODIS VIIRS Gains GOCI Gains VIIRS No Gains bad

30 Evaluation of GOCI, MODIS, and VIIRS Imagery JD 277 Full Image comparison to sites from multiple images - R 2 Values Session 42 Optical Remote Sensing30 R 2 ValuesMultiple Images, Single SampleSingle Image, all samples ChannelGOCI-MODISVIIRS-MODISGOCI-MODISVIIRS-MODIS 4120.5390.9700.8420.942 4430.8350.9930.9430.971 4900.9300.9920.9760.985 5550.9800.9790.9830.990 6900.9590.9140.9720.983 Compared to MODIS, VIIRS doing a little better overall than GOCI (mainly 412). All three sensors consistent.

31 Evaluation of GOCI, MODIS, and VIIRS Imagery Conclusions MODIS, VIIRS, and GOCI remote sensing reflectances compare favorably in the East China Sea Application of Gains to GOCI and VIIRS visibly improves data Application of Gains lowers rrs in most cases – GOCI 412 and 443 channels appear to be exceptions Data from single points and imagery show similar statistics, except at GOCI 412 and 443 Channels Overall, the comparison between the sensors are good Session 42 Optical Remote Sensing31

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