Document Type
Article
Publication Date
7-25-2017
Department
Department of Geological and Mining Engineering and Sciences
Abstract
Lake Superior is one of the largest freshwater lakes on our planet, but few optical observations have been made to allow for the development and validation of visible spectral satellite remote sensing products. The dataset described here focuses on coincidently observing inherent and apparent optical properties along with biogeochemical parameters. Specifically, we observe remote sensing reflectance, absorption, scattering, backscattering, attenuation, chlorophyll concentration, and suspended particulate matter over the ice-free months of 2013-2016. The dataset substantially increases the optical knowledge of the lake. In addition to visible spectral satellite algorithm development, the dataset is valuable for characterizing the variable light field, particle, phytoplankton, and colored dissolved organic matter distributions, and helpful in food web and carbon cycle investigations. The compiled data can be freely accessed at https://seabass.gsfc.nasa.gov/archive/URI/Mouw/LakeSuperior/.
Publication Title
Earth System Science Data
Recommended Citation
Mouw, C. B.,
Ciochetto, A.,
Grunert, B.,
&
Yu, A. W.
(2017).
Expanding understanding of optical variability in Lake Superior with a 4-year dataset.
Earth System Science Data,
9(2), 497-509.
http://doi.org/10.5194/essd-9-497-2017
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/3189
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Version
Publisher's PDF
Publisher's Statement
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License. Publisher’s version of record: https://doi.org/10.5194/essd-9-497-2017