Articles | Volume 12, issue 2
https://doi.org/10.5194/essd-12-1123-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1123-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
19 May 2020
Data description paper |
| 19 May 2020
| 19 May 2020
A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications
Kimberly A. Casey
CORRESPONDING AUTHOR
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
Steven G. Ackleson
Naval Research Laboratory, Washington, DC 20375, 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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- An integrated algorithm to estimate chlorophyll-a concentration in various optical waters using HY-3A CZI L. Zhang et al. 10.1016/j.isprsjprs.2025.05.001
- Phytoplankton Light Absorption Impacted by Photoprotective Carotenoids in a Global Ocean Spectrally‐Resolved Biogeochemistry Model E. Álvarez et al. 10.1029/2022MS003126
- Inherent Optical Properties Inversion Coastal and Inland Waters Based on QAA Algorithm 尤. 王 10.12677/gser.2025.141016
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- Holistic optical water type classification for ocean, coastal, and inland waters S. Bi & M. Hieronymi 10.1002/lno.12606
- A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity J. Pitarch & V. Brando 10.5194/essd-17-435-2025
- On the generalization ability of probabilistic neural networks for hyperspectral remote sensing of absorption properties across optically complex waters M. Werther et al. 10.1016/j.rse.2025.114820
- Evaluation of CALIOP derived backscattering coefficient (bbp(532)) product over contrasted oceanic waters S. Vadakke-chanat et al. 10.1364/OE.539704
- Satellite estimation of the spectral power exponent of particulate backscattering coefficient in the global ocean Y. Zhang et al. 10.1364/OE.545222
- Preliminary analysis on the characteristics of light absorption coefficients in typical rivers of different river basins across China Y. Zhang et al. 10.1364/OE.515555
- Satellite Remote Sensing of Herring (Clupea pallasii) Spawning Events: A Case Study in the Strait of Georgia L. Qi et al. 10.1029/2020GL092126
- Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook H. Dierssen et al. 10.3389/fenvs.2021.649528
- QWIP: A Quantitative Metric for Quality Control of Aquatic Reflectance Spectral Shape Using the Apparent Visible Wavelength H. Dierssen et al. 10.3389/frsen.2022.869611
- Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors M. Soppa et al. 10.1364/OE.523813
- A three-step semi analytical algorithm (3SAA) for estimating inherent optical properties over oceanic, coastal, and inland waters from remote sensing reflectance D. Jorge et al. 10.1016/j.rse.2021.112537
- Global distribution of the spectral power coefficient of particulate backscattering coefficient obtained by a neural network scheme X. Yu et al. 10.1016/j.rse.2023.113750
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- Mixture density networks for re-constructing historical ocean-color products over inland and coastal waters: demonstration and validation S. Balasubramanian et al. 10.3389/frsen.2025.1488565
- Modeling surface ocean phytoplankton pigments from hyperspectral remote sensing reflectance on global scales S. Kramer et al. 10.1016/j.rse.2021.112879
- A synthetic optical database generated by radiative transfer simulations in support of studies in ocean optics and optical remote sensing of the global ocean H. Loisel et al. 10.5194/essd-15-3711-2023
- Exploring the link between spectra, inherent optical properties in the water column, and sea surface temperature and salinity S. White et al. 10.1016/j.rsase.2025.101454
- The QAA-RGB: A universal three-band absorption and backscattering retrieval algorithm for high resolution satellite sensors. Development and implementation in ACOLITE J. Pitarch & Q. Vanhellemont 10.1016/j.rse.2021.112667
- Retrieval of Phytoplankton Pigment Composition from Their In Vivo Absorption Spectra Y. Zhang et al. 10.3390/rs13245112
- Phytoplankton composition from sPACE: Requirements, opportunities, and challenges I. Cetinić et al. 10.1016/j.rse.2023.113964
2 citations as recorded by crossref.
- Relationships between the concentration of particulate organic nitrogen and the inherent optical properties of seawater in oceanic surface waters A. Fumenia et al. 10.5194/bg-22-2461-2025
- A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications K. Casey et al. 10.5194/essd-12-1123-2020
Latest update: 09 Jul 2025
Short summary
An increase in spectral resolution in forthcoming remote-sensing missions will improve our ability to understand and characterize aquatic ecosystems. We organize and provide a global compilation of high spectral resolution inherent and apparent optical property data from polar, midlatitude, 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 calibration and validation activities.
An increase in spectral resolution in forthcoming remote-sensing missions will improve our...
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