Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data
Article
Article Title | Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data |
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ERA Journal ID | 44294 |
Article Category | Article |
Authors | Banerjee, B. P., Raval, S. and Timms, W. |
Journal Title | International Journal of Environmental Science and Technology |
Journal Citation | 13, p. 1781–1792 |
Number of Pages | 12 |
Year | 2016 |
Publisher | Springer |
Place of Publication | Iran |
ISSN | 1735-1472 |
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. |
Keywords | Wetland monitoring; Remote sensing; Long-term monitoring; Time-series analysis; Landsat |
Related Output | |
Is supplemented by | Erratum to: Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
401301. Cartography and digital mapping | |
410402. Environmental assessment and monitoring | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of New South Wales |
https://research.usq.edu.au/item/z30q1/evaluation-of-rainfall-and-wetland-water-area-variability-at-thirlmere-lakes-using-landsat-time-series-data
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