Authors / CoAuthors
Mueller, N. | Lewis, A. | Roberts, D. | Ring, S. | Melrose, R. | Sixsmith, J. | Lymburner, L. | McIntyre, A. | Tan, P. | Curnow, S | Ip, A.
Abstract
Following extreme flooding in eastern Australia in 2011, the Australian Government established a programme to improve flood information at the national scale. As a result a project was launched to map the extent of surface water across Australia using the multi-decadal archive of Landsat satellite imagery. This was achieved by using a robust water detection algorithm based on a decision tree classifier and a comparison methodology using a logistic regression to provide an understanding of the confidence in the water observation results. This has created a continental-scale mapping of surface water over an entire continent based on a time series of 27 years of satellite observations. The Water Observation from Space (WOfS) product provides insight into the behaviour of surface water across Australia through time, demonstrating where water is a usual occurrence, such as in permanent water bodies, and where it is unusual, such as during a flood. In addition WOfS has been found to be important for wetland studies, aquatic species behaviour, hydrological models, land surface process modelling and groundwater recharge research. This paper describes the WOfS methodology as implemented on the National Computation Infrastructure high performance computing facility at the Australian National University and shows how similar analyses of nationally significant environmental variables might be conducted at the continental scale.
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nonGeographicDataset
eCat Id
82745
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- External Publication
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
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2015-01-01T00:00:00
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