Selection of a network of large lakes and reservoirs suitable for global environmental change analysis using Earth Observation

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dc.contributor.authorPoliti, Eirini
dc.contributor.authorMacCallum, S.
dc.contributor.authorCutler, M. E. J.
dc.contributor.authorMerchant, C. J.
dc.contributor.authorRowan, J. S.
dc.contributor.authorDawson, T. P.
dc.contributor.funderNatural Environment Research Council, United Kingdomen
dc.date.accessioned2016-08-17T13:25:20Z
dc.date.available2016-08-17T13:25:20Z
dc.date.issued2016-06-28
dc.date.updated2016-08-15T10:32:52Z
dc.description.abstractThe GloboLakes project, a global observatory of lake responses to environmental change, aims to exploit current satellite missions and long remote-sensing archives to synoptically study multiple lake ecosystems, assess their current condition, reconstruct past trends to system trajectories, and assess lake sensitivity to multiple drivers of change. Here we describe the selection protocol for including lakes in the global observatory based upon remote-sensing techniques and an initial pool of the largest 3721 lakes and reservoirs in the world, as listed in the Global Lakes and Wetlands Database. An 18-year-long archive of satellite data was used to create spatial and temporal filters for the identification of waterbodies that are appropriate for remote-sensing methods. Further criteria were applied and tested to ensure the candidate sites span a wide range of ecological settings and characteristics; a total 960 lakes, lagoons, and reservoirs were selected. The methodology proposed here is applicable to new generation satellites, such as the European Space Agency Sentinel-series.en
dc.description.sponsorshipNatural Environment Research Council, United Kingdom (Grant number NE/J024279/)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPoliti, E., MacCallum S., Cutler M.E.J., Merchant C.J., Rowan J.S. and Dawson T.P. (2016) 'Selection of a network of large lakes and reservoirs suitable for global environmental change analysis using Earth Observation', International Journal of Remote Sensing, 37(13), pp. 3042-3060. http://dx.doi.org/10.1080/01431161.2016.1192702en
dc.identifier.doi10.1080/01431161.2016.1192702
dc.identifier.endpage3060en
dc.identifier.issn0143-1161
dc.identifier.issn1366-5901
dc.identifier.issued13en
dc.identifier.journaltitleInternational Journal of Remote Sensingen
dc.identifier.startpage3042en
dc.identifier.urihttps://hdl.handle.net/10468/3001
dc.identifier.volume37en
dc.language.isoenen
dc.publisherTaylor and Francisen
dc.rights© 2016 The Authors. Published by Informa UK Limited, trading as Taylor & Francis Group. 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.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectGloboLakesen
dc.subject(A)ATSRen
dc.subjectEnvironmental changeen
dc.subjectLakesen
dc.subjectSite selectionen
dc.titleSelection of a network of large lakes and reservoirs suitable for global environmental change analysis using Earth Observationen
dc.typeArticle (peer-reviewed)en
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