Campbell, Glenn and Phinn, Stuart R. (2010) An assessment of the accuracy and precision of water quality parameters retrieved with the matrix inversion method. Limnology and Oceanography: Methods, 8 . pp. 16-29. ISSN 1541-5856
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Official URL: http://www.aslo.org/lomethods/locked/2010/0016.pdf
Identification Number or DOI: doi: 10.4319/lom.2010.8.16
There is an increasing demand for quantitative inland water quality observations from satellites. One approach to estimate water quality constituent (chlorophyll and other pigments, total suspended material, and colored dissolved organic matter) concentrations from remote sensing radiance measured over inland waters is to apply a Matrix Inversion Method (MIM). Using the Hydrolight® radiative transfer model and typical water quality constituent concentrations from subtropical Wivenhoe Dam, Australia, this article demonstrates that significant improvements in the accuracy and precision of retrieved water quality constituent values can be obtained by using semianalytically estimated values for the proportionality factor that are calculated separately for each spectral band of the MERIS sensor. Furthermore, it shows that overdetermined systems of equations can be used to mitigate the effect of unknown and endemic sources of error in the remote sensing system. The residuals left after the inversion of the reflectance spectrum can also be used to assign a reliability measure to the retrievals of total suspended material (TSM) and colored dissolved organic matter (CDOM), but not for chlorophyll a. The results of this study may be used to improve algorithms for the remote sensing of water quality for freshwater impoundments.
|Item Type:||Article (Commonwealth Reporting Category C)|
|Additional Information:||Published version deposited in accordance with the copyright policy of the publisher.|
|Uncontrolled Keywords:||matrix inversion method; water quality; error assessment; MERIS; inland waters|
|Fields of Research (FOR2008):||09 Engineering > 0905 Civil Engineering > 090508 Water Quality Engineering|
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring
|Socio-Economic Objective (SEO2008):||D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified|
|Deposited On:||12 Jul 2010 16:08|
|Last Modified:||12 Jan 2012 09:14|
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