Evaluating the spatial transferability and temporal repeatability of remote-sensing-based lake water quality retrieval algorithms at the European scale: a meta-analysis approach

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dc.contributor.author Politi, Eirini
dc.contributor.author Cutler, M. E. J.
dc.contributor.author Rowan, J. S.
dc.date.accessioned 2016-08-19T11:14:57Z
dc.date.available 2016-08-19T11:14:57Z
dc.date.issued 2015-06-12
dc.identifier.citation Politi, E., Cutler, M.E.J. and Rowan, J.S. (2015) 'Evaluating the spatial transferability and temporal repeatability of remote sensing-based lake water quality retrieval algorithms at the European scale: a meta-analysis approach', International Journal of Remote Sensing, 36(11), pp. 2995-3023. http://dx.doi.org/10.1080/01431161.2015.1054962 en
dc.identifier.volume 36 en
dc.identifier.issued 11 en
dc.identifier.startpage 2995 en
dc.identifier.endpage 3023 en
dc.identifier.issn 0143-1161
dc.identifier.uri http://hdl.handle.net/10468/3012
dc.identifier.doi 10.1080/01431161.2015.1054962
dc.description.abstract Many studies have shown the considerable potential for the application of remote-sensing-based methods for deriving estimates of lake water quality. However, the reliable application of these methods across time and space is complicated by the diversity of lake types, sensor configuration, and the multitude of different algorithms proposed. This study tested one operational and 46 empirical algorithms sourced from the peer-reviewed literature that have individually shown potential for estimating lake water quality properties in the form of chlorophyll-a (algal biomass) and Secchi disc depth (SDD) (water transparency) in independent studies. Nearly half (19) of the algorithms were unsuitable for use with the remote-sensing data available for this study. The remaining 28 were assessed using the Terra/Aqua satellite archive to identify the best performing algorithms in terms of accuracy and transferability within the period 2001–2004 in four test lakes, namely Vänern, Vättern, Geneva, and Balaton. These lakes represent the broad continuum of large European lake types, varying in terms of eco-region (latitude/longitude and altitude), morphology, mixing regime, and trophic status. All algorithms were tested for each lake separately and combined to assess the degree of their applicability in ecologically different sites. None of the algorithms assessed in this study exhibited promise when all four lakes were combined into a single data set and most algorithms performed poorly even for specific lake types. A chlorophyll-a retrieval algorithm originally developed for eutrophic lakes showed the most promising results (R2 = 0.59) in oligotrophic lakes. Two SDD retrieval algorithms, one originally developed for turbid lakes and the other for lakes with various characteristics, exhibited promising results in relatively less turbid lakes (R2 = 0.62 and 0.76, respectively). The results presented here highlight the complexity associated with remotely sensed lake water quality estimates and the high degree of uncertainty due to various limitations, including the lake water optical properties and the choice of methods. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Taylor and Francis en
dc.rights © 2015 The Author(s). Published by Taylor & Francis. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Estimating chlorophyll concentration en
dc.subject Airborne imaging spectrometry en
dc.subject Satellite imagery en
dc.subject Eutrophic lakes en
dc.subject Landsat imagery en
dc.subject Coastal waters en
dc.subject Inland waters en
dc.subject Remote sensing en
dc.subject Lake water quality en
dc.subject Secchi disc depth (SDD) en
dc.subject Lake Vänern en
dc.subject Lake Vättern en
dc.subject Lake Geneva en
dc.subject Lake Balaton en
dc.title Evaluating the spatial transferability and temporal repeatability of remote-sensing-based lake water quality retrieval algorithms at the European scale: a meta-analysis approach en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Eirini Politi, Environmental Research Institute, University College Cork, Cork, Ireland. +353-21-490-3000 Email: eirini.politi@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2016-08-19T08:46:22Z
dc.description.version Published Version en
dc.internal.rssid 344188383
dc.description.status Peer reviewed en
dc.identifier.journaltitle International Journal of Remote Sensing en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress eirini.politi@ucc.ie en


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© 2015 The Author(s). Published by Taylor & Francis. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Except where otherwise noted, this item's license is described as © 2015 The Author(s). Published by Taylor & Francis. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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