In this study we tested the applicability of a method, originally developed for terrestrial plant leaves, to retrieve chlorophyll-a concentrations from reflectance spectra of turbid productive waters. We tuned the conceptual model according to the optical characteristics of the aquatic medium, and accurately predicted chlorophyll-a concentrations in water bodies over a wide range of optical conditions. Our results provide evidence that this technique may be considered as a general solution, independent of the type of medium, for assessing chlorophyll concentration in optically deep media using remotely sensed data
A new three-band model was developed to estimate chlorophyll-a concentrations in turbid inland wate...
The chlorophyll-a (Chl-a) concentration is one of the most important parameters for evaluating the s...
Reflectance spectra from 400 to 750 nm were measured in Lake Kinneret, when low phytoplankton stock ...
Signature analysis of reflectance spectra was used for the selection of the most suitable spectral b...
Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration ...
The general features of reflectance spectra of higher plant leaves are considered with special refer...
Remote estimation of chlorophyll-a in turbid and productive estuaries is difficult due to the optica...
Today the water quality of many inland and coastal waters is compromised by cultural eutrophication ...
A variety of models have been developed for estimating chlorophyll-a (Chl-a) concentration in turbid...
To develop the models for chlorophyll (CHL) estimation, the nature of a peak near 700 nm on the refl...
Field-based collection of discrete measurements and laboratory analysis of water samples is the trad...
Accurate estimation of spatially distributed chlorophyll content (Chl) in crops is of great importan...
First sentence of abstract: For case 2 turbid productive waters, we describe an algorithm to retriev...
Most algorithms for retrieving chlorophyll-a concentration (Chla) from reflectance spectra assume th...
The analytical development and underlying hypothesis of a three-band algorithm for estimating chloro...
A new three-band model was developed to estimate chlorophyll-a concentrations in turbid inland wate...
The chlorophyll-a (Chl-a) concentration is one of the most important parameters for evaluating the s...
Reflectance spectra from 400 to 750 nm were measured in Lake Kinneret, when low phytoplankton stock ...
Signature analysis of reflectance spectra was used for the selection of the most suitable spectral b...
Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration ...
The general features of reflectance spectra of higher plant leaves are considered with special refer...
Remote estimation of chlorophyll-a in turbid and productive estuaries is difficult due to the optica...
Today the water quality of many inland and coastal waters is compromised by cultural eutrophication ...
A variety of models have been developed for estimating chlorophyll-a (Chl-a) concentration in turbid...
To develop the models for chlorophyll (CHL) estimation, the nature of a peak near 700 nm on the refl...
Field-based collection of discrete measurements and laboratory analysis of water samples is the trad...
Accurate estimation of spatially distributed chlorophyll content (Chl) in crops is of great importan...
First sentence of abstract: For case 2 turbid productive waters, we describe an algorithm to retriev...
Most algorithms for retrieving chlorophyll-a concentration (Chla) from reflectance spectra assume th...
The analytical development and underlying hypothesis of a three-band algorithm for estimating chloro...
A new three-band model was developed to estimate chlorophyll-a concentrations in turbid inland wate...
The chlorophyll-a (Chl-a) concentration is one of the most important parameters for evaluating the s...
Reflectance spectra from 400 to 750 nm were measured in Lake Kinneret, when low phytoplankton stock ...