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Discussion papers
https://doi.org/10.5194/essd-2019-105
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-105
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 22 Jul 2019

Submitted as: data description paper | 22 Jul 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications

Kimberly A. Casey1,2, Cecile S. Rousseaux1,3,4, Watson W. Gregg1,3, Emmanuel Boss5, Alison P. Chase5, Susanne E. Craig4,6, Colleen B. Mouw7, Rick A. Reynolds8, Dariusz Stramski8, Steven G. Ackleson9, Annick Bricaud10, Blake Schaeffer11, Marlon R. Lewis12, and Stéphane Maritorena13 Kimberly A. Casey et al.
  • 1Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA
  • 2Land Resources, U.S. Geological Survey, Reston, VA, 20192, USA
  • 3Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA
  • 4Universities Space Research Association, Columbia, MD, 20771, USA
  • 5School of Marine Sciences, University of Maine, Orono, ME, 04469, USA
  • 6Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
  • 7University of Rhode Island, Graduate School of Oceanography, Narragansett, RI, 02882, USA
  • 8Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA
  • 9Naval Research Laboratory, Washington, D.C., USA, 20375
  • 10CNRS and Sorbonne Université, Laboratoire d'Océanographie de Villefranche (LOV), F-06230 Villefranche-sur-mer, France
  • 11Office of Research and Development, U.S. Environmental Protection Agency, USA
  • 12Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
  • 13Earth Research Institute, University of California, Santa Barbara, CA, 93106, USA

Abstract. Light emerging from natural water bodies and measured by remote sensing 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 to characterize aquatic ecosystems. Such upcoming missions include NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Mission; the NASA Surface Biology and Geology 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 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, as well as remote-sensing reflectance, and irradiance reflectance. The dataset can be downloaded from https://doi.pangaea.de/10.1594/PANGAEA.902230 (Casey et al., 2019).

Kimberly A. Casey et al.
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Kimberly A. Casey et al.
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In situ high spectral resolution inherent and apparent optical property data from diverse aquatic environments K. A. Casey, C. S. Rousseaux, W. W. Gregg, E. Boss, A. P. Chase, S. E. Craig, C. B. Mouw, R. A. Reynolds, D. Stramski, S. G. Ackleson, A. Bricaud, B. Schaeffer, M. R. Lewis, and S. Maritorena https://doi.pangaea.de/10.1594/PANGAEA.902230

Kimberly A. Casey et al.
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Short summary
An increase in spectral resolution in forthcoming remote sensing missions will improve our ability to understand and characterize aquatic ecosystems. We organized and provide a global compilation of high spectral resolution inherent and apparent optical property data from polar, mid- and equatorial open ocean, estuary, coastal and inland waters. The data are intended to aid in development of remote sensing data product algorithms and to perform related calibration and validation activities.
An increase in spectral resolution in forthcoming remote sensing missions will improve our...
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