DocumentCode :
2468598
Title :
Monitoring inland waters with the APEX sensor, a wavelet approach
Author :
Knaeps, E. ; Raymaekers, D. ; Sterckx, S. ; Bertels, L. ; Odermatt, D.
Author_Institution :
RSL - Remote Sensing Labs., Univ. of Zurich, Zurich, Switzerland
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
In this study a new curve fitting approach is presented to derive TSM, CHL and CDOM concentrations in inland and coastal waters from water leaving-reflectance spectra. The approach is based on the wavelet transform and is tested on simulated water-leaving reflectance spectra. For simulations SIOPS and water concentrations, representative for the Scheldt river, were used. The results shown that the approach is less sensitive to errors in the atmospheric correction or specific sensor noise. The idea is based on the development of a new minimization criteria for curve fitting. Instead of minimizing the difference between modeled and measured spectra using a simple RMSE, the RMSE is now combined with specific wavelet features. Several types of errors and noise are added to the simulated spectra to find robust features. Two minimization criteria were found which are almost insensitive to a white error and less sensitive to adjacency effects.
Keywords :
curve fitting; hydrological techniques; oceanographic techniques; reflectivity; remote sensing; water quality; wavelet transforms; APEX sensor; CDOM concentration; CHL; SIOPS simulation; Scheldt river; TSM; coastal waters; curve fitting approach; inland waters monitoring; water concentration; water leaving-reflectance spectra; wavelet approach; Atmospheric modeling; Biological system modeling; Curve fitting; Minimization; Noise; Sea measurements; Wavelet transforms; APEX; Scheldt; curve fitting; water quality; wavelets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location :
Reykjavik
Print_ISBN :
978-1-4244-8906-0
Electronic_ISBN :
978-1-4244-8907-7
Type :
conf
DOI :
10.1109/WHISPERS.2010.5594860
Filename :
5594860
Link To Document :
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