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

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

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Original languageEnglish
Pages (from-to)3042-3060
Number of pages19
JournalInternational Journal of Remote Sensing
Volume37
Issue number13
Early online date28 Jun 2016
DOIs
StatePublished - 2 Jul 2016

Abstract

The 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 3,721 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 water bodies 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.

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  • Author Accepted Manuscript

    Accepted author manuscript, 1 MB, PDF-document

    This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI].

  • Final Published Version

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    © 2016 The Author(s). 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.

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