coastal optical characterization experiment (coce) activities at star noaa 2013 satellite...

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Coastal Optical Characterization Experiment (COCE) Activities at STAR NOAA 2013 Satellite Conference, April 7-12, 2013 M. Ondrusek, [email protected], NOAA/NESDIS/STAR, College Park, MD, United States. E. Stengel, [email protected], NOAA/NESDIS/STAR, College Park, MD, United States. SUMMARY The Coastal Optical Characterization Experiment (COCE) is an ongoing project at NOAA/NESDIS/STAR Satellite Oceanography and Climatology Division. The primary goals of COCE are satellite ocean color validation and application development. The COCE group has been validating all ocean color sensors since the SeaWiFS sensor launch in 1997 by measuring in situ the water leaving radiances seen by the satellite. Currently, this effort concentrates on the initialization and validation of the Joint Polar Satellite System (JPSS) VIIRS sensor aboard the Suomi National Polar-orbiting Partnership (SNPP) sensor. The performance of the sensor is evaluated by presenting comparisons between ground truth measurements and VIIRS retrievals made off Florida, Hawaii and in the Chesapeake Bay. The application development effort focuses on developing new ocean color satellite remote sensing tools for monitoring relevant coastal ocean parameters. A COCE developed high-resolution Total Suspended Matter (TSM) algorithm is used to monitor several high sediment runoff events in the Chesapeake Bay including the record runoff event following Tropical Storm Lee in the Fall of 2011. An experimental TSM loading algorithm is also presented. These COCE activities improve the utility of ocean color satellite data in monitoring and analyzing coastal and oceanic processes. D) ) E) Band Old NASA - New NASA Hyperpro - New NASA Hyperpr o - NRL Hyperpr o - NOAA 410 -6.99 1.50 3.48 -16.56 443 -9.36 3.18 1.05 -14.13 488 -8.38 3.93 3.38 -8.16 551 -19.31 1.40 36.27 -15.39 671 -30.70 -8.81 158.79 -22.56 average 410 to 551 -11.01 2.50 11.05 -13.56 Cross plot of in-situ vs VIIRS for Chesapeake Bay. Cross plot of in-situ vs VIIRS for Hawaii. Band Avg. % diff. Hyperpro - New NASA Std. Dev. of % diff. Hyperpro - New NASA 410 65.98 113.88 443 -49.99 53.63 488 -46.35 24.05 551 -35.10 15.69 671 -33.47 16.35 average 443 to 671 -41.23 Average and Std. Dev of the percent differences between Hyperpro in-situ and VIIRS (new NASA) for Chesapeake Bay. Sample dates include 10/11/12, 11/2/12, 1/7/13, and 1/10/13. N = 12. Averages of the percent differences between Hyperpro in-situ and VIIRS for Hawaii, Sept. 2012 comparing different processings. Sample dates include 9/11/12, 9/12/12, and 9/15/12. N = 6. 10/11/12 Sta1 0 0.002 0.004 0.006 0.008 0.01 400 450 500 550 600 650 700 nm Rrs H yperpro N A SA 10/11/12 Sta 2 0 0.001 0.002 0.003 0.004 0.005 0.006 400 450 500 550 600 650 700 nm Rrs H yperpro N A SA 10/11/12Sta 3 0 0.001 0.002 0.003 0.004 0.005 0.006 400 450 500 550 600 650 700 nm Rrs H yperpro N A SA 10/11/12 Sta 4 0 0.001 0.002 0.003 0.004 0.005 0.006 400 450 500 550 600 650 700 nm Rrs H yperpro N A SA 11/2/12 Sta 1 0 0.002 0.004 0.006 0.008 0.01 400 450 500 550 600 650 700 nm Rrs H yperpro N A SA 11/2/12 Sta 2 0 0.002 0.004 0.006 0.008 0.01 0.012 0.014 400 450 500 550 600 650 700 nm Rrs Hyperpro N A SA 1/7/13 Sta 1 0 0.002 0.004 0.006 0.008 0.01 400 450 500 550 600 650 700 nm Rrs H yperpro N A SA 1/7/13 Sta2 0 0.002 0.004 0.006 0.008 0.01 400 450 500 550 600 650 700 nm Rrs H yperpro N A SA 1/10/13 Sta1 0 0.001 0.002 0.003 0.004 0.005 0.006 400 450 500 550 600 650 700 nm Rrs Hyperpro N A SA 1/10/13 Sta 2 0 0.001 0.002 0.003 0.004 0.005 0.006 0.007 400 450 500 550 600 650 700 nm Rrs Hyperpro NA SA 1/7/13 Sta3 0 0.001 0.002 0.003 0.004 0.005 0.006 0.007 400 450 500 550 600 650 700 nm Rrs Hyperpro N A SA 1/10/13 Sta3 0 0.002 0.004 0.006 0.008 0.01 400 450 500 550 600 650 700 nm Rrs H yperpro N A SA Chesapeake Bay FY13 Matchups Inland water validation – 14 Stations VIIRS OCEAN COLOR VALIDATION Spectral nLw data normalized to the nLw maximum to emphasize the spectral differences between the red tide spectra (red) and spectra collected outside the bloom (green). Microscopic photo of Cochlodinium polykrikoides collected August 16 th , 2011 in the Elisabeth River (photos courtesy of Sharyn Hedrick, Smithsonian Environmental Research Center). Cell counts exceeded 4000 cells/ml. Aug. 17 th Chl imagery of the Norfolk region Imagery concentrations exceeded 200 mg/m 3 . No clear imagery was available for Aug 16 th . JDAY Date 2011 TSM conc. Surf. to Bottom TSM conc. Surf to 10m Differen ce % Diff Sediment Load all Sediment Load 10m n pixels (Metric Ton) (Metric Ton) (Metric Ton) (Metric Ton) (Metric Ton) 62 3-Mar 434890 367623 67268 15.47 177261 76 17-Mar 1152729 952435 200294 17.38 759867 622207 176429 255 12-Sep 1951767 1763679 188088 9.64 1558906 1433451 124134 256 13-Sep 2848646 2443232 405414 14.23 2455784 2113004 139940 257 14-Sep 3397808 2846926 550882 16.21 3004946 2516698 161356 305 1-Nov 350833 292834 57999 16.53 124368 Normal sediment load = average day 62 and 305 = 392862 330228 Sept. 10 Sept. 11 Sept. 12 Sept. 13 Sept. 14 http://chesapeakebay.noaa.gov/observations-hot-topics/ncbo-researches-sediment-plume http://chesapeakebay.noaa.gov/observations-hot-topics/ncbo-monitors-plume-location Hypro vs IDPS Hypro vs L2GEN ASD vs L2gen ASD vs IDPS ASD vs Aqua Hyperpro vsAqua ch r2 slop e r2 slop e r2 slop e r2 slop e r2 slop e r2 slop e 41 0 0.862 8 0.87 52 0.90 71 1.01 77 0.84 14 0.96 39 0.83 64 0.79 94 0.57 53 1.20 16 0.45 75 1.27 82 44 3 0.984 8 0.93 29 0.98 48 0.90 58 0.94 68 0.90 72 0.97 66 0.91 25 0.92 02 0.96 92 0.89 22 0.97 96 48 8 0.998 1 0.97 72 0.99 64 0.97 62 0.97 35 1.05 03 0.99 12 0.99 64 0.98 88 0.91 15 0.99 14 0.87 27 55 1 0.989 5 0.96 03 0.98 50 0.98 38 0.96 35 1.11 98 0.97 59 1.07 67 0.98 04 0.92 81 0.97 79 0.87 3 67 1 0.995 3 0.73 62 0.99 59 0.93 68 0.89 92 1.00 56 0.96 13 0.73 27 0.97 12 0.57 6 0.97 92 0.64 86 Southern Florida Cruise – February 28 – March 2, 2012 Coastal water validatoin - 9 clear validation stations were achieved and compared to NRL, L2GEN and MODIS Aqua. Honolulu, Hawaii Cruise – September 8 – 21, 2013 Blue water validation - 28 Station occupied Mean daily discharge rates from the Conowingo Dam in cubic feet per second. Data from: http://waterdata.usgs.gov. Data collection dates range from 10/1/1967 to present. March 3 Normal conditions March 7 Beginning of Event March 13 TSM load increasing March 17 Maximum extent of plume March 19 Plume begins to recede March 22 Plume continues to recede March 26 Plume continues to recede March 27 Plume continues to recede March 29 Plume continues to recede Pict of sampling MODIS Aqua NRL VIIRS IDPS VIIRS .01 .05 .3 1.6 8.4 45 Chlorophyll (mg/m3) New Analytical Laboratory for Validation Measurements Room 3755 NCWCP Satlantic HYPERPRO Primary radiance validation instrument VIIRS Validation Summary In open ocean waters, in situ matchups indicate that VIIRS ocean color sensor is performing to near heritage quality. More work is needed to assess the coastal and inland performance. Chlorophyll performance (left) is sensitive to relative band performance and therefore reflects uncertainty in the Bay radiance measurements. SPECTRAL CHARACTERIZATION OF RED TIDES IN THE CHESAPEAKE BAY SEDIMENT RUNOFF INTO THE CHESAPEAKE BAY Use Total Suspended Matter (TSM) Imagery Developed at STAR to Monitor the Sources and Evolution of Runoff Events in the Chesapeake Bay March 2012 Spring Runoff Event Surface TSM Concentrations in mg/l September 2012 Runoff Event Following Tropical Storm Lee Surface TSM Concentrations in mg/l Sediment Runoff in the Northern Chesapeake Bay is Related to Susquehanna River Flow March 2012 Sept. 2012 The Calculation of Total Instantanious Sediment Loads (TSM) into the Chesapeake Bay in Metric Tons Characterize sediment distributions with depth using in situ sampling, runoff limited to top 10m. March 3 March 17 November 1 September 12 September 13 September 14 Calculate total sediment per pixel in kg Sum all pixels in a region (red box in bay) to estimate total sediment in bay then subtract normal day from event day to calculate total instantaneous sediment load for that day.

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Page 1: Coastal Optical Characterization Experiment (COCE) Activities at STAR NOAA 2013 Satellite Conference, April 7-12, 2013 M. Ondrusek,

Coastal Optical Characterization Experiment (COCE) Activities at STAR NOAA 2013 Satellite Conference, April 7-12, 2013

M. Ondrusek, [email protected], NOAA/NESDIS/STAR, College Park, MD, United States.E. Stengel, [email protected], NOAA/NESDIS/STAR, College Park, MD, United States.

SUMMARYThe Coastal Optical Characterization Experiment (COCE) is an ongoing project at NOAA/NESDIS/STAR Satellite Oceanography and Climatology Division. The primary goals of COCE are satellite ocean color validation and application development. The COCE group has been validating all ocean color sensors since the SeaWiFS sensor launch in 1997 by measuring in situ the water leaving radiances seen by the satellite. Currently, this effort concentrates on the initialization and validation of the Joint Polar Satellite System (JPSS) VIIRS sensor aboard the Suomi National Polar-orbiting Partnership (SNPP) sensor. The performance of the sensor is evaluated by presenting comparisons between ground truth measurements and VIIRS retrievals made off Florida, Hawaii and in the Chesapeake Bay. The application development effort focuses on developing new ocean color satellite remote sensing tools for monitoring relevant coastal ocean parameters. A COCE developed high-resolution Total Suspended Matter (TSM) algorithm is used to monitor several high sediment runoff events in the Chesapeake Bay including the record runoff event following Tropical Storm Lee in the Fall of 2011. An experimental TSM loading algorithm is also presented. These COCE activities improve the utility of ocean color satellite data in monitoring and analyzing coastal and oceanic processes.

D)

)

E)

BandOld NASA - New NASA

Hyperpro - New NASA

Hyperpro - NRL

Hyperpro - NOAA

410 -6.99 1.50 3.48 -16.56443 -9.36 3.18 1.05 -14.13488 -8.38 3.93 3.38 -8.16551 -19.31 1.40 36.27 -15.39671 -30.70 -8.81 158.79 -22.56

average 410 to 551 -11.01 2.50 11.05 -13.56

Cross plot of in-situ vs VIIRS for Chesapeake Bay.

Cross plot of in-situ vs VIIRS for Hawaii.

BandAvg. % diff. Hyperpro - New NASA

Std. Dev. of % diff. Hyperpro - New NASA

410 65.98 113.88443 -49.99 53.63488 -46.35 24.05551 -35.10 15.69671 -33.47 16.35

average 443 to 671 -41.23

Average and Std. Dev of the percent differences between Hyperpro in-situ and VIIRS (new NASA) for Chesapeake Bay. Sample dates include 10/11/12, 11/2/12, 1/7/13, and 1/10/13. N = 12.

Averages of the percent differences between Hyperpro in-situ and VIIRS for Hawaii, Sept. 2012 comparing different processings. Sample dates include 9/11/12, 9/12/12, and 9/15/12. N = 6.

10/11/12 Sta 1

0

0.002

0.004

0.006

0.008

0.01

400 450 500 550 600 650 700

nm

Rrs

Hyperpro

NASA

10/11/12 Sta 2

00.0010.0020.0030.0040.0050.006

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

10/11/12 Sta 3

0

0.001

0.002

0.003

0.004

0.005

0.006

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

10/11/12 Sta 4

0

0.001

0.002

0.003

0.004

0.005

0.006

400 450 500 550 600 650 700

nm

Rrs

Hyperpro

NASA

11/2/12 Sta 1

0

0.002

0.004

0.006

0.008

0.01

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

11/2/12 Sta 2

00.0020.0040.0060.0080.01

0.0120.014

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

1/7/13 Sta 1

0

0.002

0.004

0.006

0.008

0.01

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

1/7/13 Sta 2

0

0.002

0.004

0.006

0.008

0.01

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

1/10/13 Sta 1

0

0.001

0.002

0.003

0.004

0.005

0.006

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

1/10/13 Sta 2

00.0010.0020.0030.0040.0050.0060.007

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

1/7/13 Sta 3

00.0010.0020.0030.0040.0050.0060.007

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

1/10/13 Sta 3

0

0.002

0.004

0.006

0.008

0.01

400 450 500 550 600 650 700

nm

Rrs Hyperpro

NASA

Chesapeake Bay FY13 Matchups Inland water validation – 14 Stations

VIIRS OCEAN COLOR VALIDATION

Spectral nLw data normalized to the nLw maximum to emphasize the spectral differences between the red tide spectra (red) and spectra collected outside the bloom (green).

Microscopic photo of Cochlodinium polykrikoides collected August 16th, 2011 in the Elisabeth River (photos courtesy of Sharyn Hedrick, Smithsonian Environmental Research Center). Cell counts exceeded 4000 cells/ml.

Aug. 17th Chl imagery of the Norfolk region Imagery concentrations exceeded 200 mg/m3. No clear imagery was available for Aug 16th.

JDAY Date 2011TSM conc. Surf. to Bottom

TSM conc. Surf to 10m Difference % Diff Sediment Load all Sediment Load 10m n pixels

(Metric Ton) (Metric Ton) (Metric Ton) (Metric Ton) (Metric Ton)

62 3-Mar 434890 367623 67268 15.47 17726176 17-Mar 1152729 952435 200294 17.38 759867 622207 176429

255 12-Sep 1951767 1763679 188088 9.64 1558906 1433451 124134256 13-Sep 2848646 2443232 405414 14.23 2455784 2113004 139940257 14-Sep 3397808 2846926 550882 16.21 3004946 2516698 161356305 1-Nov 350833 292834 57999 16.53 124368

Normal sediment load = average day 62 and 305 = 392862 330228

Sept. 10 Sept. 11 Sept. 12 Sept. 13 Sept. 14

http://chesapeakebay.noaa.gov/observations-hot-topics/ncbo-researches-sediment-plumehttp://chesapeakebay.noaa.gov/observations-hot-topics/ncbo-monitors-plume-location

Hypro vs IDPSHypro vs L2GEN

ASD vs L2gen ASD vs IDPS ASD vs AquaHyperpro vsAqua

ch r2 slope r2 slope r2 slope r2 slope r2 slope r2 slope

410 0.86280.875

20.907

11.017

70.841

40.963

90.836

40.799

40.575

31.201

60.457

51.278

2

443 0.98480.932

90.984

80.905

80.946

80.907

20.976

60.912

50.920

20.969

20.892

20.979

6

488 0.99810.977

20.996

40.976

20.973

51.050

30.991

20.996

40.988

80.911

50.991

40.872

7

551 0.98950.960

30.985

00.983

80.963

51.119

80.975

91.076

70.980

40.928

10.977

9 0.873

671 0.99530.736

20.995

90.936

80.899

21.005

60.961

30.732

70.971

2 0.5760.979

20.648

6

Southern Florida Cruise – February 28 – March 2, 2012Coastal water validatoin - 9 clear validation stations were achieved and compared to NRL, L2GEN and MODIS Aqua.

Honolulu, Hawaii Cruise – September 8 – 21, 2013Blue water validation - 28 Station occupied

Mean daily discharge rates from the Conowingo Dam in cubic feet per second. Data from: http://waterdata.usgs.gov. Data collection dates range from 10/1/1967 to present.

March 3 Normal conditions

March 7Beginning of Event

March 13TSM load increasing

March 17Maximum extent of plume

March 19Plume begins to recede

March 22Plume continues to recede

March 26Plume continues to recede

March 27Plume continues to recede

March 29Plume continues to recede

Pict of sampling

MODIS Aqua NRL VIIRS IDPS VIIRS

.01 .05 .3 1.6 8.4 45Chlorophyll (mg/m3)

New Analytical Laboratory for Validation MeasurementsRoom 3755 NCWCP

Satlantic HYPERPROPrimary radiance validation instrument

VIIRS Validation SummaryIn open ocean waters, in situ matchups indicate that VIIRS ocean color sensor is performing to near heritage quality. More work is needed to assess the coastal and inland performance. Chlorophyll performance (left) is sensitive to relative band performance and therefore reflects uncertainty in the Bay radiance measurements.

SPECTRAL CHARACTERIZATION OF RED TIDES IN THE CHESAPEAKE BAY

SEDIMENT RUNOFF INTO THE CHESAPEAKE BAYUse Total Suspended Matter (TSM) Imagery Developed at STAR to Monitor the Sources and Evolution of Runoff Events in the Chesapeake Bay

March 2012 Spring Runoff EventSurface TSM Concentrations in mg/l

September 2012 Runoff Event Following Tropical Storm LeeSurface TSM Concentrations in mg/l

Sediment Runoff in the Northern Chesapeake Bay is Related to Susquehanna River Flow

March 2012 Sept. 2012

The Calculation of Total Instantanious Sediment Loads (TSM) into the Chesapeake Bay in Metric TonsCharacterize sediment distributions with depth using in situ sampling, runoff limited to top 10m.

March 3

March 17

November 1

September 12

September 13

September 14

Calculate total sediment per pixel in kg

Sum all pixels in a region (red box in bay) to estimate total sediment in bay then subtract normal day from event day to calculate total instantaneous sediment load for that day.