We investigate the impact on remote sensing reflectance by the vertical non-uniformities of water constituents. Reflectance simulated for 210 pairs of in situ measured chlorophyll-a and turbidity profiles (z = 0–20 m) from Lake Geneva are compared to simulations for uniform constituent gradients and non-uniform profiles approximated by Gaussian curves, orthogonal layers and steady gradients. Relevant concentration ranges are between 0 and 17 mg m−3 for chlorophyll-a and 0 and 4.6 g m−3 for total suspended matter within the photic layer. Our results show that mesotrophic lakes are specifically sensitive to non-uniformities with 20% of the 210 samples used in this study showing deviations of the spectral angle > 5° between a uniform assumptio...
The extension and frequency of algal blooms in surface waters can be monitored using remote sensing ...
Abstract: The reasons why it is effective to estimate the chlorophyll-a concentration with the ratio...
The extension and frequency of algal blooms in surface waters can be monitored using remote sensing ...
We investigate the impact on remote sensing reflectance by the vertical non-uniformities of water co...
Estimating the concentration of water constituents by optical remote sensing assumes absorption and ...
In order to characterize the impact of turbidity plumes on optical and biological dynamics, a suite ...
Current water color remote sensing algorithms typically do not consider the vertical variations of p...
In order to improve robustness of remote sensing algorithms for lakes, it is vital to understand the...
Solving of several global and regional problems requires adequate data about lake water quality para...
Algal blooms plague freshwaters across the globe, as increased nutrient loads lead to eutrophication...
Field-based collection of discrete measurements and laboratory analysis of water samples is the trad...
Lake Superior is one of the largest freshwater lakes on our planet, but few optical observations hav...
© 2020 Elsevier B.V. Remotely-sensed ocean colour is the main tool for estimating chlorophyll a (Chl...
Remote sensing has the potential to provide truly synoptic views of water quality, the assessment of...
Aquatic plants and lake bottoms in optically shallow waters (OSWs) wield great influence on reflecta...
The extension and frequency of algal blooms in surface waters can be monitored using remote sensing ...
Abstract: The reasons why it is effective to estimate the chlorophyll-a concentration with the ratio...
The extension and frequency of algal blooms in surface waters can be monitored using remote sensing ...
We investigate the impact on remote sensing reflectance by the vertical non-uniformities of water co...
Estimating the concentration of water constituents by optical remote sensing assumes absorption and ...
In order to characterize the impact of turbidity plumes on optical and biological dynamics, a suite ...
Current water color remote sensing algorithms typically do not consider the vertical variations of p...
In order to improve robustness of remote sensing algorithms for lakes, it is vital to understand the...
Solving of several global and regional problems requires adequate data about lake water quality para...
Algal blooms plague freshwaters across the globe, as increased nutrient loads lead to eutrophication...
Field-based collection of discrete measurements and laboratory analysis of water samples is the trad...
Lake Superior is one of the largest freshwater lakes on our planet, but few optical observations hav...
© 2020 Elsevier B.V. Remotely-sensed ocean colour is the main tool for estimating chlorophyll a (Chl...
Remote sensing has the potential to provide truly synoptic views of water quality, the assessment of...
Aquatic plants and lake bottoms in optically shallow waters (OSWs) wield great influence on reflecta...
The extension and frequency of algal blooms in surface waters can be monitored using remote sensing ...
Abstract: The reasons why it is effective to estimate the chlorophyll-a concentration with the ratio...
The extension and frequency of algal blooms in surface waters can be monitored using remote sensing ...