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 (2019): In situ high spectral resolution inherent and apparent optical property data from diverse aquatic environments [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.902230, Supplement to: Casey, KA et al. (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, 12(2), 1123-1139, https://doi.org/10.5194/essd-12-1123-2020
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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 (AVIRIS) - Next Generation 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.
Related to:
Map of coincident in situ inherent and apparent optical property (IOP/AOP) aquatic data. map.png
Original version:
In situ high spectral resolution inherent and apparent optical property data from diverse aquatic environments, xlsx files, version 1 [dataset]. PACE_insitu_V1.zip
Further details:
Bricaud, Annick; Babin, Marcel; Claustre, Hervé; Ras, Josephine; Tièche, Fanny (2010): Light absorption properties and absorption budget of Southeast Pacific waters. Journal of Geophysical Research, 115(C8), https://doi.org/10.1029/2009JC005517
Chase, Alison P; Boss, Emmanuel; Cetinić, Ivona; Slade, Wayne (2017): Estimation of phytoplankton accessory pigments from hyperspectral reflectance spectra: Toward a global algorithm. Journal of Geophysical Research: Oceans, 122(12), 9725-9743, https://doi.org/10.1002/2017JC012859
Craig, Susanne E; Jones, Chris T; Li, William K W; Lazin, Gordana; Horne, Edward; Caverhill, Carla; Cullen, John (2012): Deriving optical metrics of coastal phytoplankton biomass from ocean colour. Remote Sensing of Environment, 119, 72-83, https://doi.org/10.1016/j.rse.2011.12.007
Matsuoka, Atsushi; Boss, Emmanuel; Babin, Marcel; Karp-Boss, Lee; Hafez, Mark; Chekalyuk, Alexander; Proctor, Christopher W; Werdell, P Jeremy; Bricaud, Annick (2017): Pan-Arctic optical characteristics of colored dissolved organic matter: Tracing dissolved organic carbon in changing Arctic waters using satellite ocean color data. Remote Sensing of Environment, 200, 89-101, https://doi.org/10.1016/j.rse.2017.08.009
Miller, Richard L; Belz, Mathias; Del Castilo, Carlos; Trzaskac, Rick (2002): Determining CDOM absorption spectra in diverse coastal environments using a multiple pathlength, liquid core waveguide system. Continental Shelf Research, 22(9), 1301-1310, https://doi.org/10.1016/S0278-4343(02)00009-2
Mouw, Colleen B; Ciochetto, Audrey B; Grunert, Brice; Yu, Angela (2017): Expanding understanding of optical variability in Lake Superior with a 4-year dataset. Earth System Science Data, 9(2), 497-509, https://doi.org/10.5194/essd-9-497-2017
Schaeffer, Blake; Conmy, Robyn M; Duffy, Allyn E; Aukamp, Jessica; Yates, Diane F; Craven, George (2015): Northern Gulf of Mexico estuarine coloured dissolved organic matter derived from MODIS data. International Journal of Remote Sensing, 36(8), 2219-2237, https://doi.org/10.1080/01431161.2015.1035408
Slade, Wayne; Boss, Emmanuel; Dall'Olmo, Giorgio; Langner, M Rois; Loftin, James; Behrenfeld, Michael J; Roesler, Collin S; Westberry, Toby K (2010): Underway and Moored Methods for Improving Accuracy in Measurement of Spectral Particulate Absorption and Attenuation. Journal of Atmospheric and Oceanic Technology, 27(10), 1733-1746, https://doi.org/10.1175/2010JTECHO755.1
Stramski, Dariusz; Reynolds, Rick A; Babin, Marcel; Kaczmarek, S; Lewis, Marlon R; Röttgers, Rüdiger; Sciandra, Antoine; Stramska, M; Twardowski, Michael S; Franz, B A; Claustre, Hervé (2008): Relationships between the surface concentration of particulate organic carbon and optical properties in the eastern South Pacific and eastern Atlantic Oceans. Biogeosciences, 5, 171-201, https://doi.org/10.5194/bg-5-171-2008
Coverage:
Median Latitude: 0.000000 * Median Longitude: 180.000000 * South-bound Latitude: -90.000000 * West-bound Longitude: 180.000000 * North-bound Latitude: 90.000000 * East-bound Longitude: 180.000000
Event(s):
Comment:
Version comment:
2020-05-20: Version 2 (xlsx files updated)
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | File name | File name | Casey, Kimberly A | |||
2 | File format | File format | Casey, Kimberly A | |||
3 | File size | File size | kByte | Casey, Kimberly A | ||
4 | Uniform resource locator/link to file | URL file | Casey, Kimberly A | |||
5 | LATITUDE | Latitude | Casey, Kimberly A | Geocode – minimum | ||
6 | LATITUDE | Latitude | Casey, Kimberly A | Geocode – maximum | ||
7 | LONGITUDE | Longitude | Casey, Kimberly A | Geocode – minimum | ||
8 | LONGITUDE | Longitude | Casey, Kimberly A | Geocode – maximum | ||
9 | Date/time start | Date/time start | Casey, Kimberly A | |||
10 | Date/time end | Date/time end | Casey, Kimberly A | |||
11 | File content | Content | Casey, Kimberly A | Data variable | ||
12 | File content | Content | Casey, Kimberly A | Data variable (cont.) | ||
13 | File content | Content | Casey, Kimberly A | Data range | ||
14 | Reference/source | Reference | Casey, Kimberly A | Data source | ||
15 | Reference/source | Reference | Casey, Kimberly A | Data source (cont.) | ||
16 | Reference/source | Reference | Casey, Kimberly A | Data providers | ||
17 | Uniform resource locator/link to reference | URL ref | Casey, Kimberly A | Provider reference |
Change history:
2020-05-20T10:35:53 – Xlsx files updated
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
628 data points