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

Article


Banerjee, B. P., Raval, S. and Timms, W.. 2016. "Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data." International Journal of Environmental Science and Technology. 13, p. 1781–1792. https://doi.org/10.1007/s13762-016-1018-z
Article Title

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

ERA Journal ID44294
Article CategoryArticle
AuthorsBanerjee, B. P., Raval, S. and Timms, W.
Journal TitleInternational Journal of Environmental Science and Technology
Journal Citation13, p. 1781–1792
Number of Pages12
Year2016
PublisherSpringer
Place of PublicationIran
ISSN1735-1472
1735-2630
Digital Object Identifier (DOI)https://doi.org/10.1007/s13762-016-1018-z
Web Address (URL)https://link.springer.com/article/10.1007/s13762-016-1018-z
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.

KeywordsWetland monitoring; Remote sensing; Long-term monitoring; Time-series analysis; Landsat
Related Output
Is supplemented byErratum to: Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
401301. Cartography and digital mapping
410402. Environmental assessment and monitoring
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Byline AffiliationsUniversity of New South Wales
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