Characterizing the spectral reflectance of algae in lake waters with high suspended sediment concentrations

Svab, E., Tyler, A.N., Preston, T., Presing, M. and Balogh, K.V. (2005) Characterizing the spectral reflectance of algae in lake waters with high suspended sediment concentrations. International Journal of Remote Sensing, 26(5), pp. 919-928. (doi:10.1080/0143116042000274087)

Svab, E., Tyler, A.N., Preston, T., Presing, M. and Balogh, K.V. (2005) Characterizing the spectral reflectance of algae in lake waters with high suspended sediment concentrations. International Journal of Remote Sensing, 26(5), pp. 919-928. (doi:10.1080/0143116042000274087)

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Publisher's URL: http://dx.doi.org/10.1080/0143116042000274087

Abstract

Remote sensing has the potential to provide truly synoptic views of water quality, the assessment of which is known to be affected by suspended sediment, phytoplankton biomass (chlorophyll alpha (Chl alpha) concentration) and dissolved organic carbon. These three components also control the spectral reflectance characteristics of waterbodies. This Letter uses in situ reflectance measurements of water in Lake Balaton on three different occasions, supplemented by controlled tank experiments, to characterize the influences of suspended sediment concentrations (SSC) and Chl alpha on spectral reflectance and simulated Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) response. The results confirm that Chl alpha cannot be estimated directly from Landsat reflectance data in waters characterized by heterogeneous SSC. However, principal component analysis (PCA) demonstrated that spectrally unique end-members can be identified, indicating that a spectral linear mixture modelling approach combined with a multivariate regression analysis may be used to provide estimates of Chl alpha concentrations, which would be independent of SSC.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Preston, Professor Thomas
Authors: Svab, E., Tyler, A.N., Preston, T., Presing, M., and Balogh, K.V.
Subjects:Q Science > QH Natural history > QH301 Biology
G Geography. Anthropology. Recreation > G Geography (General)
College/School:College of Science and Engineering > Scottish Universities Environmental Research Centre
Journal Name:International Journal of Remote Sensing
ISSN:0143-1161

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