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 li...
Inherent optical properties (IOPs) play an important role in underwater light field, and are difficu...
The utility of both close-range and satellite remote sensing for assessing inland water quality was ...
Water color remote sensing algorithms for case II waters like the Great Lakes require accurate chara...
© 2015. An optical class-based approach was adapted and applied to satellite imagery of aquatic colo...
Satellite remote sensing offers one of the best spatial and temporal observational approaches. Howev...
Features of light absorption are critical to optical aspects of water quality and in regulating the ...
Spectral subsurface irradiance reflectance—intrinsic water color—was derived from above-water radian...
Lake Erie has experienced dramatic changes in water quality over the past several decades requiring ...
Satellite retrievals of water attenuation (kd), Photosynthetically Active radiation (PAR) and photic...
Bio-optical properties of the ocean have been broadly investigated using Coastal Zone Color Scanner ...
Remote sensing provides a method to accurately assess water quality for current and historical condi...
Remote sensing provides a method to accurately assess water quality for current and historical condi...
The Color Producing Agent Algorithm (CPA-A) is a semi-analytical inverse radiative transfer bio-opti...
The MTRI/NIERSC algorithm retrieves concentrations of chlorophyll (CHL), dissolved organic carbon (D...
Michigan Tech Research Institute (MTRI) scientists have modified a Nansen International Environmenta...
Inherent optical properties (IOPs) play an important role in underwater light field, and are difficu...
The utility of both close-range and satellite remote sensing for assessing inland water quality was ...
Water color remote sensing algorithms for case II waters like the Great Lakes require accurate chara...
© 2015. An optical class-based approach was adapted and applied to satellite imagery of aquatic colo...
Satellite remote sensing offers one of the best spatial and temporal observational approaches. Howev...
Features of light absorption are critical to optical aspects of water quality and in regulating the ...
Spectral subsurface irradiance reflectance—intrinsic water color—was derived from above-water radian...
Lake Erie has experienced dramatic changes in water quality over the past several decades requiring ...
Satellite retrievals of water attenuation (kd), Photosynthetically Active radiation (PAR) and photic...
Bio-optical properties of the ocean have been broadly investigated using Coastal Zone Color Scanner ...
Remote sensing provides a method to accurately assess water quality for current and historical condi...
Remote sensing provides a method to accurately assess water quality for current and historical condi...
The Color Producing Agent Algorithm (CPA-A) is a semi-analytical inverse radiative transfer bio-opti...
The MTRI/NIERSC algorithm retrieves concentrations of chlorophyll (CHL), dissolved organic carbon (D...
Michigan Tech Research Institute (MTRI) scientists have modified a Nansen International Environmenta...
Inherent optical properties (IOPs) play an important role in underwater light field, and are difficu...
The utility of both close-range and satellite remote sensing for assessing inland water quality was ...
Water color remote sensing algorithms for case II waters like the Great Lakes require accurate chara...