: water quality, atmospheric correction, air-water interface, imaging spectroscopy An extension of the atmospheric correction model A TCOR 4 is presented for the pre-correction of inland water. In this study, the visibility is obtimized under the assumption that the water-leaving radiance is zero in the near infrared (dark target approach) leading to a pixel based correction. A sen-sitivity analysis is performed with respect to the retrieval of chlorophyll a. It is shown that the assumptions made for the pre-correction is crucial for the relative and absolute lake water constituent concentration. 1
The main challenge that one has to face during the atmospheric correction (AC) of productive inland ...
The standard SeaWiFS atmospheric correction algorithm, designed for open ocean water, has been exten...
Accurate assessment of chlorophyll-a (Chl-a) concentrations in inland waters using remote sensing is...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret w...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret w...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret w...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret ...
Atmospheric correction of remote sensing imagery over optically complex waters is still a challengin...
Water quality assessment and monitoring from remote sensing data is strongly affected by the accurac...
Water quality assessment and monitoring from remote sensing data is strongly affected by the accurac...
Water quality assessment and monitoring from remote sensing data is strongly affected by the accurac...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret ...
A study is described in which the effects of the atmosphere on a remotely sensed, multispectral imag...
In many algorithms designed to retrieve water constituent concentrations, an assumption of negligibl...
The main challenge that one has to face during the atmospheric correction (AC) of productive inland ...
The main challenge that one has to face during the atmospheric correction (AC) of productive inland ...
The standard SeaWiFS atmospheric correction algorithm, designed for open ocean water, has been exten...
Accurate assessment of chlorophyll-a (Chl-a) concentrations in inland waters using remote sensing is...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret w...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret w...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret w...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret ...
Atmospheric correction of remote sensing imagery over optically complex waters is still a challengin...
Water quality assessment and monitoring from remote sensing data is strongly affected by the accurac...
Water quality assessment and monitoring from remote sensing data is strongly affected by the accurac...
Water quality assessment and monitoring from remote sensing data is strongly affected by the accurac...
Atmospheric correction of remotely sensed imagery of inland water bodies is essential to interpret ...
A study is described in which the effects of the atmosphere on a remotely sensed, multispectral imag...
In many algorithms designed to retrieve water constituent concentrations, an assumption of negligibl...
The main challenge that one has to face during the atmospheric correction (AC) of productive inland ...
The main challenge that one has to face during the atmospheric correction (AC) of productive inland ...
The standard SeaWiFS atmospheric correction algorithm, designed for open ocean water, has been exten...
Accurate assessment of chlorophyll-a (Chl-a) concentrations in inland waters using remote sensing is...