The feasibility of satellite-based monitoring of phytoplankton chlorophyll a concentrations in Lake Erie is assessed by applying globally calibrated, ocean-derived color algorithms to spatially and temporally collocated measurements of SeaWiFS remote sensing reflectance. Satellite-based chlorophyll a retrievals were compared with fluorescence-based measurements of chlorophyll a from 68 field samples collected across the lake between 1998 and 2002. Twelve ocean-derived color algorithms, one regional algorithm derived for the Baltic Sea\u27s Case 2 waters, and a set of regional algorithms developed for the western, central and eastern basins of Lake Erie were considered. While none of the ocean-derived algorithms performed adequately, the out...
A large data set containing coincident in situ chlorophyll and remote sensing reflectance measuremen...
This special section of the Journal of Great Lakes Research addresses the use of state-of-the-art re...
Optical remote sensing has potential to overcome the limitations of point estimations of lake water ...
The feasibility of satellite-based monitoring of phytoplankton chlorophyll a concentrations in Lake ...
Bio-optical properties of the ocean have been broadly investigated using Coastal Zone Color Scanner ...
<p>There is considerable interest in accurately estimating water quality parameters in turbid (Case ...
Remote sensing provides a method to accurately assess water quality for current and historical condi...
Algae blooms have been a serious problem in coastal and inland water bodies across Canada. The tempo...
The dominant wavelength and hue angle can be used to quantify the color of lake water. Understanding...
Ocean color satellites such as CZCS, SeaWiFS, MODIS, MERIS, and VIIRS have been imaging the Great La...
An algorithm that utilizes individual lake hydro-optical (HO) models has been developed for the Grea...
Lake Erie has a history of algal blooms, due to eutrophic conditions attributed to urban and agricul...
A set of operational optical satellite algorithms for the Great Lakes have been developed and succes...
The development of algal blooms in Lake Erie was identified using the characteristic spectral signat...
Field-based collection of discrete measurements and laboratory analysis of water samples is the trad...
A large data set containing coincident in situ chlorophyll and remote sensing reflectance measuremen...
This special section of the Journal of Great Lakes Research addresses the use of state-of-the-art re...
Optical remote sensing has potential to overcome the limitations of point estimations of lake water ...
The feasibility of satellite-based monitoring of phytoplankton chlorophyll a concentrations in Lake ...
Bio-optical properties of the ocean have been broadly investigated using Coastal Zone Color Scanner ...
<p>There is considerable interest in accurately estimating water quality parameters in turbid (Case ...
Remote sensing provides a method to accurately assess water quality for current and historical condi...
Algae blooms have been a serious problem in coastal and inland water bodies across Canada. The tempo...
The dominant wavelength and hue angle can be used to quantify the color of lake water. Understanding...
Ocean color satellites such as CZCS, SeaWiFS, MODIS, MERIS, and VIIRS have been imaging the Great La...
An algorithm that utilizes individual lake hydro-optical (HO) models has been developed for the Grea...
Lake Erie has a history of algal blooms, due to eutrophic conditions attributed to urban and agricul...
A set of operational optical satellite algorithms for the Great Lakes have been developed and succes...
The development of algal blooms in Lake Erie was identified using the characteristic spectral signat...
Field-based collection of discrete measurements and laboratory analysis of water samples is the trad...
A large data set containing coincident in situ chlorophyll and remote sensing reflectance measuremen...
This special section of the Journal of Great Lakes Research addresses the use of state-of-the-art re...
Optical remote sensing has potential to overcome the limitations of point estimations of lake water ...