Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying phytoplankton in water characterized by high‐suspended sediment

Tyler, Andrew N.; Svab, E.; Preston, Tom; Présing, Mátyås; Kovács, W. A.

doi:10.1080/01431160500419311

Cited by 182 publications

(125 citation statements)

References 26 publications

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“…Hence, many studies concerned with small to moderately sized lakes and reservoirs, rivers and estuaries have made use of high spatial resolution data from satellites missions designed for land applications such as those in the Landsat-series (e.g., Tyler et al, 2006, Olmanson et al, 2008. The main disadvantage of the sensors flown on missions such as Landsat is that they were not designed for applications over water bodies and thus the coverage and resolution of their spectral bands and their radiometric sensitivity is sometimes not sufficient to provide accurate retrievals of parameters such as Chl-a or CDOM, particularly for lakes with low water-leaving radiance.…”

Section: Special Issue Science Of the Total Environmentmentioning

confidence: 99%

“…Many of these algorithms have found applications in optically complex waters (e.g. Ali et al, 2014;Bélanger et al, 2008;Kowalczuk et al, 2010;Matthews et al, 2010;Tyler et al, 2006). Regionallyspecific implementations and adaptations of already existing algorithms are also common in the literature (Budd & Warrington, 2004;Li et al, 2004;Yacobi et al, 2001;Palmer et al, 2015).…”

Section: Figurementioning

confidence: 99%

“…Higher resolution satellite data from sensors such as Landsat-TM/ETM+ has been used to retrieve estimates of Chl-a in smaller lakes. Tyler et al (2006), for example, used Landsat-TM data to estimate the concentration…”

Section: Special Issue Science Of the Total Environmentmentioning

confidence: 99%

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Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Tyler

Hunter

Spyrakos

et al. 2016

Science of The Total Environment

130

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The Earth's surface waters are a fundamental resource and encompass a broad range of ecosystems that are core to global biogeochemical cycling and food and energy production.Despite this, the Earth's surface waters are impacted by multiple natural and anthropogenic pressures and drivers of environmental change. The complex interaction between physical, chemical and biological processes in surface waters poses significant challenges for in situ monitoring and assessment and often limits our ability to adequately capture the dynamics of aquatic systems and our understanding of their status, functioning and response to pressures. Here we explore the opportunities that Earth observation (EO) has to offer to basin-scale monitoring of water quality over the surface water continuum comprising inland, transition and coastal water bodies, with a particular focus on the Danube and Black Sea region. This review summarises the technological advances in EO and the opportunities that the next generation satellites offer for water quality monitoring. We provide an overview of algorithms for the retrieval of water quality parameters and demonstrate how such models have been used for the assessment and monitoring of inland, transitional, coastal and shelfsea systems. Further, we argue that very few studies have investigated the connectivity between these systems especially in large river-sea systems such as the Danube-Black Sea. Subsequently, we describe current capability in operational processing of archive and near real-time satellite data. We conclude that while the operational use of satellites for the assessment and monitoring of surface waters is still developing for inland and coastal waters and more work is required on the development and validation of remote sensing algorithms for these optically complex waters, the potential that these data streams offer for developing an improved, potentially paradigm-shifting understanding of physical and biogeochemical processes across large scale river-sea continuum including the Danube-Black Sea is considerable.

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Section: Special Issue Science Of the Total Environmentmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

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Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Tyler

Hunter

Spyrakos

et al. 2016

Science of The Total Environment

130

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“…This method is objective, however, in sea (almost) no pure spectra can be found, and endmembers defined with this method will vary per image, season etc. The study of Tyler et al (2005) selects endmembers with this method; Zortea and Plaza (2009) present an improved pure pixel method for land remote sensing data. & Classification (for example with K-means clustering).…”

Section: Appendix 2-endmember Selectionmentioning

confidence: 99%

“…Doerffer and Murphy 1989). However, only a few studies are available that applies unmixing to water reflectances (Moore et al 2001;Tyler et al 2005;Jianguang et al 2007;Moore et al 2009). Moore et al (2001) base their approach on the fuzzy property of endmember models to blend algorithms and retrieve concentration maps without discontinuities.…”

Section: Introductionmentioning

confidence: 99%

Spectra of a shallow sea—unmixing for class identification and monitoring of coastal waters

et al. 2011

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Ocean colour-based monitoring of water masses is a promising alternative to monitoring concentrations in heterogeneous coastal seas. Fuzzy methods, such as spectral unmixing, are especially well suited for recognition of water masses from their remote sensing reflectances. However, such models have not yet been applied for water classification and monitoring. In this study, a fully constrained endmember model with simulated endmembers was developed for water class identification in the shallow Wadden Sea and adjacent German Bight. Its performance was examined on in situ measured reflectances and on MERIS satellite data. Water classification by means of unmixing reflectance spectra proved to be successful. When the endmember model was applied to MERIS data, it was able to visualise well-known spatial, tidal, seasonal, and wind-related variations in optical properties in the heterogeneous Wadden Sea. Analyses show that the method is insensitive to small changes in endmembers. Therefore, it can be applied in similar coastal areas. For use in open ocean situations or coastal or inland waters with other specific inherent optical properties, re-simulation of the endmember spectra with local optical properties is required. However, such an adaptation requires only a limited number of local in situ measurements.

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Spatial variability of absorption coefficients over a biogeochemical gradient in a large and optically complex shallow lake

et al. 2015

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In order to improve robustness of remote sensing algorithms for lakes, it is vital to understand the variability of inherent optical properties (IOPs) and their mass‐specific representations (SIOPs). In this study, absorption coefficients for particulate and dissolved constituents were measured at 38 stations distributed over a biogeochemical gradient in Lake Balaton, Hungary. There was a large range of phytoplankton absorption (aph(λ)) over blue and red wavelengths (aph(440) = 0.11–4.39 m−1, aph(675) = 0.048–2.52 m−1), while there was less variability in chlorophyll‐specific phytoplankton absorption (a*ph(λ)) in the lake (a*ph(440) = 0.022 ± 0.0046 m2 mg−1, a*ph(675) = 0.010 ± 0.0020 m2 mg−1) and adjoining wetland system, Kis‐Balaton (a*ph(440) = 0.017 ± 0.0015 m2 mg−1, a*ph(675) = 0.0088 ± 0.0017 m2 mg−1). However, in the UV, a*ph(350) significantly increased with increasing distance from the main inflow (Zala River). This was likely due to variable production of photoprotective pigments (e.g., MAAs) in response to the decreasing gradient of colored dissolved organic matter (CDOM). The slope of CDOM absorption (SCDOM) also increased from west to east due to larger terrestrial CDOM input in the western basins. Absorption by nonalgal particles (aNAP(λ)) was highly influenced by inorganic particulates, as a result of the largely mineral sediments in Balaton. The relative contributions to the absorption budget varied more widely than oceans with a greater contribution from NAP (up to 30%), and wind speed affected the proportion attributed to NAP, phytoplankton, or CDOM. Ultimately, these data provide knowledge of the heterogeneity of (S)IOPs in Lake Balaton, suggesting the full range of variability must be considered for future improvement of analytical algorithms for constituent retrieval in inland waters.

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Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying phytoplankton in water characterized by high‐suspended sediment

Cited by 182 publications

References 26 publications

Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Spectra of a shallow sea—unmixing for class identification and monitoring of coastal waters

Spatial variability of absorption coefficients over a biogeochemical gradient in a large and optically complex shallow lake

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