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

Type Article
Date 2020
Language English
Author(s) Casey Kimberly A.1, 2, Rousseaux Cecile S.1, 3, 4, Gregg Watson W.1, 3, Boss Emmanuel5, Chase Alison P.5, Craig Susanne E.4, 6, Mouw Colleen B.7, Reynolds Rick A.8, Stramski Dariusz8, Ackleson Steven G.9, Bricaud Annick10, Schaeffer Blake11, Lewis Marlon R.12, Maritorena Stéphane13
Affiliation(s) 1 : Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA
2 : Land Resources, U.S. Geological Survey, Reston, VA, 20192, USA
3 : Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA
4 : Universities Space Research Association, Columbia, MD, 20771, USA
5 : School of Marine Sciences, University of Maine, Orono, ME, 04469, USA
6 : Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
7 : University of Rhode Island, Graduate School of Oceanography, Narragansett, RI, 02882, USA
8 : Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA
9 : Naval Research Laboratory, Washington, D.C., USA
10 : CNRS and Sorbonne Université, Laboratoire d'Océanographie de Villefranche (LOV), F-06230 Villefranche-sur-mer, France
11 : Office of Research and Development, U.S. Environmental Protection Agency, USA
12 : Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
13 : Earth Research Institute, University of California, Santa Barbara, CA, 93106, USA
Source Earth System Science Data Discussions (1866-3591) (Copernicus GmbH), 2020 , Vol. 12 , N. 2 , P. 1123–1139
DOI 10.5194/essd-2019-105

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).

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Casey Kimberly A., Rousseaux Cecile S., Gregg Watson W., Boss Emmanuel, Chase Alison P., Craig Susanne E., Mouw Colleen B., Reynolds Rick A., Stramski Dariusz, Ackleson Steven G., Bricaud Annick, Schaeffer Blake, Lewis Marlon R., Maritorena Stéphane (2020). A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications. Earth System Science Data Discussions, 12(2), 1123–1139. Publisher's official version : https://doi.org/10.5194/essd-2019-105 , Open Access version : https://archimer.ifremer.fr/doc/00509/62027/