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| Titel |
Deriving inherent optical properties and associated inversion-uncertainties in the Dutch Lakes |
| VerfasserIn |
M. S. Salama, A. Dekker, Z. Su, C. M. Mannaerts, W. Verhoef |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 7 ; Nr. 13, no. 7 (2009-07-13), S.1113-1121 |
| Datensatznummer |
250011934
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| Publikation (Nr.) |
 copernicus.org/hess-13-1113-2009.pdf |
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| Zusammenfassung |
| Remote sensing of water quality in inland waters requires reliable retrieval
algorithms, accurate atmospheric correction and consistent method for
uncertainty estimation. In this paper, the GSM semi-analytical inversion
model is modified for inland waters to derive inherent optical properties
(IOPs) and their spectral dependencies from air and space borne data. The
modified model was validated using two data sets from the Veluwe and the
Vecht Dutch lakes. For the Veluwe lakes, the model was able to derive a
linear relationship between measured concentrations and estimated IOPs with
R2 values above 0.7 for chlorophyll-a (Chl-a) and up to 0.9 for
suspended particulate matters (SPM). In the Vecht lakes, the modified model
derived accurate values of IOPs. The R2 values were 0.89 for Chl-a and
up to 0.95 for SPM. The RMSE values were 0.93 mg m−3 and
0.56 g m−3 for Chl-a and SPM respectively. Finally, the IOPs of the
Veluwe lakes are derived from multi-spectral, ocean color and hyperspectral
airborne data. Inversion-uncertainties of the derived IOPs were also
estimated using a standard nonlinear regression technique. The study shows
that inversion-uncertainties of remote sensing derived IOPs are proportional
to water turbidity. |
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