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Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data

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An Erratum to this article was published on 21 July 2016

Abstract

Thirlmere Lakes is a group of five freshwater wetlands in the southwest fringe of Sydney, Australia, that is subject to cyclic wetting and drying. The lakes are surrounded by activities that have led to increasing pressure on the local surface and groundwater supply including farming and mining. The mine has been operating for more than 30 years, and in recent times, there has been speculation that the surface subsidence and underground pumping may have some impact on surface water and groundwater hydrology. A study was undertaken using satellite imagery to examine the relation between water area changes and rainfall variability. The study utilised Landsat time-series data during the period 1982–2014 to calculate changes in the lake water area (LA), through the normalised difference water index (NDWI) threshold. High classification accuracy was achieved using NDWI against high-resolution data that are available for the years 2008 (88.4 %), 2010 (92.8 %), and 2013 (96.9 %). The LA measurement was correlated against 11 historic observations that occurred in 2009, 2010, and 2011 during drier wetland conditions. Correlation analysis of the LA with the residual rainfall mass spread across the past 30 years has found that rainfall variability is a major dominant factor associated with the wetland changes. The underground mining operations, if verified by independent investigations, probably play a minor or negligible contributor to variations in total wetland area during the study period. This study has demonstrated that remote sensing is a technique that can be used to augment limited historic data.

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Acknowledgments

This independent research was funded by the Australian Centre for Sustainable Mining Practices (ACSMP), School of Mining Engineering, UNSW, Australia, as a Ph.D. scholarship for the first author. The United States Geological Survey (USGS) is acknowledged for providing free access to the Landsat data. Additional historical lake level data were provided in kind by P. Pells.

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  1. Australian Centre for Sustainable Mining Practices, School of Mining Engineering, The University of New South Wales, Kensington, Sydney, NSW, 2052, Australia

    B. P. Banerjee, S. Raval & W. Timms

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  1. B. P. Banerjee
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  2. S. Raval
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  3. W. Timms
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Correspondence to S. Raval.

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Banerjee, B.P., Raval, S. & Timms, W. Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data. Int. J. Environ. Sci. Technol. 13, 1781–1792 (2016). https://doi.org/10.1007/s13762-016-1018-z

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  • DOI: https://doi.org/10.1007/s13762-016-1018-z

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