FN Archimer Export Format PT J TI A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications BT AF 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 AS 1:1,2;2:1,3,4;3:1,3;4:5;5:5;6:4,6;7:7;8:8;9:8;10:9;11:10;12:11;13:12;14:13; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:; C1 Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA Land Resources, U.S. Geological Survey, Reston, VA, 20192, USA Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA Universities Space Research Association, Columbia, MD, 20771, USA School of Marine Sciences, University of Maine, Orono, ME, 04469, USA Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA University of Rhode Island, Graduate School of Oceanography, Narragansett, RI, 02882, USA Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA Naval Research Laboratory, Washington, D.C., USA CNRS and Sorbonne Université, Laboratoire d'Océanographie de Villefranche (LOV), F-06230 Villefranche-sur-mer, France Office of Research and Development, U.S. Environmental Protection Agency, USA Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada Earth Research Institute, University of California, Santa Barbara, CA, 93106, USA C2 NASA, USA US GEOL SURVEY, USA NASA, USA USRA, USA UNIV MAINE US, USA NASA, USA UNIV RHODE ISL, USA UNIV CALIF SAN DIEGO, USA NAVAL RES LAB, USA CNRS, FRANCE EPA, USA UNIV DALHOUSIE, CANADA UNIV CALIF SANTA BARBARA, USA IF 11.333 TC 13 UR https://archimer.ifremer.fr/doc/00509/62027/66149.pdf https://archimer.ifremer.fr/doc/00509/62027/74022.pdf LA English DT Article CR BIOSOPE BO L'Atalante AB 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). PY 2020 PD MAY SO Earth System Science Data SN 1866-3508 PU Copernicus GmbH VL 12 IS 2 UT 000537114200001 BP 1123 EP 1139 DI 10.5194/essd-12-1123-2020 ID 62027 ER EF