Optical remote sensing in complex waters is challenging because the optically active constituents may vary independently and have a combined and interacting influence on the remote sensing signal. Additionally, the remote sensing signal is influenced by noise and spectral contamination by confounding factors, resulting in ill-posedness and ill-conditionedness in the inversion of the model. There is a need for inversion methods that are less sensitive to these changing or shifting spectral features. We propose WaveIN, a wavelet-enhanced inversion method, specifically designed for complex waters. It integrates wavelet-transformed high-spectral resolution reflectance spectra in a multiscale analysis tool. Wavelets are less sensitive to a bias ...
Solving of several global and regional problems requires adequate data about lake water quality para...
Deriving inherent optical properties (IOPs) and other water quality parameters from satellite remote...
Optical remote sensing has been used to map and monitor water quality parameters such as the concent...
In this study a new curve fitting approach is presented to derive TSM, CHL and CDOM concentrations i...
This letter presents an application of continuous wavelet analysis, providing a new semi-empirical a...
Remote sensing of water quality in inland waters requires reliable retrieval algorithms, accurate at...
A new scheme has been proposed by Lee et al. (2014) to reconstruct hyperspectral (400 - 700 nm, 5 nm...
Wavelet artificial neural networks and remote sensing techniques can be used to estimate water quali...
The empirical (regression-based) methods for estimation of water quality parameters are mostly built...
There is an increasing demand for quantitative inland water quality observations from satellites. On...
In this paper, combined with water quality sampling data and Landsat8 satellite remote sensing image...
The dynamics of foliar chlorophyll concentrations have considerable significance for plant¿environme...
Estimating the concentration of water constituents by optical remote sensing assumes absorption and ...
The dynamics of foliar chlorophyll concentrations have considerable significance for plant–environme...
Inland waters are optically complex and provide an ongoing challenge to effective water quality moni...
Solving of several global and regional problems requires adequate data about lake water quality para...
Deriving inherent optical properties (IOPs) and other water quality parameters from satellite remote...
Optical remote sensing has been used to map and monitor water quality parameters such as the concent...
In this study a new curve fitting approach is presented to derive TSM, CHL and CDOM concentrations i...
This letter presents an application of continuous wavelet analysis, providing a new semi-empirical a...
Remote sensing of water quality in inland waters requires reliable retrieval algorithms, accurate at...
A new scheme has been proposed by Lee et al. (2014) to reconstruct hyperspectral (400 - 700 nm, 5 nm...
Wavelet artificial neural networks and remote sensing techniques can be used to estimate water quali...
The empirical (regression-based) methods for estimation of water quality parameters are mostly built...
There is an increasing demand for quantitative inland water quality observations from satellites. On...
In this paper, combined with water quality sampling data and Landsat8 satellite remote sensing image...
The dynamics of foliar chlorophyll concentrations have considerable significance for plant¿environme...
Estimating the concentration of water constituents by optical remote sensing assumes absorption and ...
The dynamics of foliar chlorophyll concentrations have considerable significance for plant–environme...
Inland waters are optically complex and provide an ongoing challenge to effective water quality moni...
Solving of several global and regional problems requires adequate data about lake water quality para...
Deriving inherent optical properties (IOPs) and other water quality parameters from satellite remote...
Optical remote sensing has been used to map and monitor water quality parameters such as the concent...