On the Interplay Between Ocean Color Data Quality and Data Quantity: Impacts of Quality Control Flags

Hu, Chuanmin1; Barnes, Brian B.1; Feng, Lian2; Wang, Menghua3; Jiang, Lide3

2020-05

10.1109/LGRS.2019.2936220

IEEE Geoscience and Remote Sensing Letters   影响因子和分区

1545-598X

1558-0571

Nearly all calibration/validation activities for the satellite ocean color missions have focused on data quality to produce data products of the highest quality (i.e., science quality) for climate-related research. Little attention, however, has been paid to data quantity, particularly on how data quality control during data processing impacts downstream data quality and data quantity. In this letter, we attempt to fill this knowledge gap using measurements from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP). For this sensor, the same level-1B data are processed independently using different quality control methods by NASA and NOAA, respectively, allowing for an in-depth evaluation of the interplay between data quantity and quality. The results indicate that the methods to identify stray light and sun glint are the two primary quality control procedures affecting data quantity, where the criteria for flagging pixels "contaminated" by stray light and sun glint may be relaxed in the NASA ocean color data processing to increase data quantity without compromising data quality.

Oceans Image color analysis Data integrity Quality control Sun Sea measurements NASA Calibration data quality data quantity level-2 flags stray light ocean color quality control remote sensing sun glint uncertainty validation

SCI ; EI

英语

其他

U.S. NASA[NNX16AQ71G][NNX14AM63G][NNX15AB13A][80NSSC18K0340] ; Joint Polar Satellite System[NA15OAR4320064]

Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology

Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology

WOS:000529957500004

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

20201908614659

Color ; Orbits ; NASA ; Quality assurance ; Stray light ; Calibration ; Data reduction ; Remote sensing ; Thermography (imaging) ; Oceanography

Oceanography, General:471.1 ; Data Processing and Image Processing:723.2 ; Light/Optics:741.1 ; Photography:742.1 ; Quality Assurance and Control:913.3

Web of Science

1.Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA
2.South Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 430079, Peoples R China
3.NOAA NESDIS, Ctr Satellite Applicat & Res, College Pk, MD 20740 USA

Hu, Chuanmin,Barnes, Brian B.,Feng, Lian,et al. On the Interplay Between Ocean Color Data Quality and Data Quantity: Impacts of Quality Control Flags[J]. IEEE Geoscience and Remote Sensing Letters,2020,17(5):745-749.

Hu, Chuanmin,Barnes, Brian B.,Feng, Lian,Wang, Menghua,&Jiang, Lide.(2020).On the Interplay Between Ocean Color Data Quality and Data Quantity: Impacts of Quality Control Flags.IEEE Geoscience and Remote Sensing Letters,17(5),745-749.

Hu, Chuanmin,et al."On the Interplay Between Ocean Color Data Quality and Data Quantity: Impacts of Quality Control Flags".IEEE Geoscience and Remote Sensing Letters 17.5(2020):745-749.