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Casey KA, Rousseaux CS, Gregg WW, Boss E, Chase AP, Craig SE, Mouw CB, Reynolds RA, Stramski D, Ackleson SG, Bricaud A, Schaeffer B, Lewis MR, Maritorena S. A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications. EARTH SYSTEM SCIENCE DATA 2020; 12:1123-1139. [PMID: 36419961 PMCID: PMC9680849 DOI: 10.5194/essd-12-1123-2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Light emerging from natural water bodies and measured by radiometers contains information about the local type and concentrations of phytoplankton, non-algal particles and colored dissolved organic matter in the underlying waters. An increase in spectral resolution in forthcoming satellite and airborne remote sensing missions is expected to lead to new or improved capabilities for characterizing aquatic ecosystems. Such upcoming missions include NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission; the NASA Surface Biology and Geology designated observable mission; and NASA Airborne Visible/Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) airborne missions. In anticipation of these missions, we present an organized dataset of geographically diverse, quality-controlled, high spectral resolution inherent and apparent optical property (IOP-AOP) aquatic data. The data are intended to be of use to increase our understanding of aquatic optical properties, to develop aquatic remote sensing data product algorithms, and to perform calibration and validation activities for forthcoming aquatic-focused imaging spectrometry missions. The dataset is comprised of contributions from several investigators and investigating teams collected over a range of geographic areas and water types, including inland waters, estuaries, and oceans. Specific in situ measurements include remote-sensing reflectance, irradiance reflectance, and coefficients describing particulate absorption, particulate attenuation, non-algal particulate absorption, colored dissolved organic matter absorption, phytoplankton absorption, total absorption, total attenuation, particulate backscattering, and total backscattering. The dataset can be downloaded from https://doi.org/10.1594/PANGAEA.902230 (Casey et al., 2019).
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Affiliation(s)
- Kimberly A. Casey
- Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
- U.S. Geological Survey, Reston, VA 20192, USA
| | - Cecile S. Rousseaux
- Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
- Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
- Universities Space Research Association, Columbia, MD 20771, USA
| | - Watson W. Gregg
- Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
- Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
| | - Emmanuel Boss
- School of Marine Sciences, University of Maine, Orono, ME 04469, USA
| | - Alison P. Chase
- School of Marine Sciences, University of Maine, Orono, ME 04469, USA
| | - Susanne E. Craig
- Universities Space Research Association, Columbia, MD 20771, USA
- Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
| | - Colleen B. Mouw
- Graduate School of Oceanography, University of Rhode Island, Narragansett, RI 02882, USA
| | - Rick A. Reynolds
- Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA
| | - Dariusz Stramski
- Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA
| | | | - Annick Bricaud
- CNRS and Sorbonne Université, Laboratoire d’Océanographie de Villefranche (LOV), 06230 Villefranche-sur-mer, France
| | - Blake Schaeffer
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Marlon R. Lewis
- Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Stéphane Maritorena
- Earth Research Institute, University of California, Santa Barbara, CA 93106, USA
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Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes. REMOTE SENSING 2019. [DOI: 10.3390/rs11030295] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Short-term (sub-diurnal) biological and biogeochemical processes cannot be fully captured by the current suite of polar-orbiting satellite ocean color sensors, as their temporal resolution is limited to potentially one clear image per day. Geostationary sensors, such as the Geostationary Ocean Color Imager (GOCI) from the Republic of Korea, allow the study of these short-term processes because their orbit permit the collection of multiple images throughout each day for any area within the sensor’s field of regard. Assessing the capability to detect sub-diurnal changes in in-water properties caused by physical and biogeochemical processes characteristic of open ocean and coastal ocean ecosystems, however, requires an understanding of the uncertainties introduced by the instrument and/or geophysical retrieval algorithms. This work presents a study of the uncertainties during the daytime period for an ocean region with characteristically low-productivity with the assumption that only small and undetectable changes occur in the in-water properties due to biogeochemical processes during the daytime period. The complete GOCI mission data were processed using NASA’s SeaDAS/l2gen package. The assumption of homogeneity of the study region was tested using three-day sequences and diurnal statistics. This assumption was found to hold based on the minimal diurnal and day-to-day variability in GOCI data products. Relative differences with respect to the midday value were calculated for each hourly observation of the day in order to investigate what time of the day the variability is greater. Also, the influence of the solar zenith angle in the retrieval of remote sensing reflectances and derived products was examined. Finally, we determined that the uncertainties in water-leaving “remote-sensing” reflectance (Rrs) for the 412, 443, 490, 555, 660 and 680 nm bands on GOCI are 8.05 × 10−4, 5.49 × 10−4, 4.48 × 10−4, 2.51 × 10−4, 8.83 × 10−5, and 1.36 × 10−4 sr−1, respectively, and 1.09 × 10−2 mg m−3 for the chlorophyll-a concentration (Chl-a), 2.09 × 10−3 m−1 for the absorption coefficient of chromophoric dissolved organic matter at 412 nm (ag (412)), and 3.7 mg m−3 for particulate organic carbon (POC). These Rrs values can be considered the threshold values for detectable changes of the in-water properties due to biological, physical or biogeochemical processes from GOCI.
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Wei J, Lee Z, Ondrusek M, Mannino A, Tzortziou M, Armstrong R. Spectral slopes of the absorption coefficient of colored dissolved and detrital material inverted from UV-visible remote sensing reflectance. JOURNAL OF GEOPHYSICAL RESEARCH. OCEANS 2016; 121:1953-1969. [PMID: 29201583 PMCID: PMC5706129 DOI: 10.1002/2015jc011415] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The spectral slope of the absorption coefficient of colored dissolved and detrital material (CDM), Scdm (units: nm-1), is an important optical parameter for characterizing the absorption spectral shape of CDM. Although highly variable in natural waters, in most remote sensing algorithms, this slope is either kept as a constant or empirically modeled with multiband ocean color in the visible domain. In this study, we explore the potential of semianalytically retrieving Scdm with added ocean color information in the ultraviolet (UV) range between 360 and 400 nm. Unique features of hyperspectral remote sensing reflectance in the UV-visible wavelengths (360-500 nm) have been observed in various waters across a range of coastal and open ocean environments. Our data and analyses indicate that ocean color in the UV domain is particularly sensitive to the variation of the CDM spectral slope. Here, we used a synthesized data set to show that adding UV wavelengths to the ocean color measurements will improve the retrieval of Scdm from remote sensing reflectance considerably, while the spectral band settings of past and current satellite ocean color sensors cannot fully account for the spectral variation of remote sensing reflectance. Results of this effort support the concept to include UV wavelengths in the next generation of satellite ocean color sensors.
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Affiliation(s)
- Jianwei Wei
- Optical Oceanography Laboratory, School for the Environment, University of Massachusetts Boston, Boston, Massachusetts, USA
| | - Zhongping Lee
- Optical Oceanography Laboratory, School for the Environment, University of Massachusetts Boston, Boston, Massachusetts, USA
| | - Michael Ondrusek
- NOAA/NESDIS Center for Weather and Climate Prediction, College Park, Maryland, USA
| | - Antonio Mannino
- Hydrospheric and Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
| | - Maria Tzortziou
- Department of Earth and Atmospheric Science, The City College of New York, New York, New York, USA
| | - Roy Armstrong
- Bio-optical Oceanography Laboratory, University of Puerto Rico, Mayagüez, Puerto Rico, USA
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Brewin RJW, Dall'Olmo G, Sathyendranath S, Hardman-Mountford NJ. Particle backscattering as a function of chlorophyll and phytoplankton size structure in the open-ocean. OPTICS EXPRESS 2012; 20:17632-17652. [PMID: 23038316 DOI: 10.1364/oe.20.017632] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Using an extensive database of in situ observations we present a model that estimates the particle backscattering coefficient as a function of the total chlorophyll concentration in the open-ocean (Case-1 waters). The parameters of the model include a constant background component and the chlorophyll-specific backscattering coefficients associated with small (<20 μm) and large (>20 μm) phytoplankton. The new model performed with similar accuracy when compared with a traditional power-law function, with the additional benefit of providing information on the role of phytoplankton size. The observed spectral-dependency (γ) of model parameters was consistent with past observations, such that γ associated with the small phytoplankton population was higher than that of large phytoplankton. Furthermore, γ associated with the constant background component suggests this component is likely attributed to submicron particles. We envisage that the model would be useful for improving Case-1 ocean-colour models, assimilating light into multi-phytoplankton ecosystem models and improving estimates of phytoplankton size structure from remote sensing.
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Affiliation(s)
- Robert J W Brewin
- Plymouth Marine Laboratory (PML), Prospect Place, The Hoe, Plymouth PL1 3DH, UK.
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