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Effectiveness of DOS (Dark-Object Subtraction) method and water index techniques to map wetlands in a rapidly urbanising megacity with Landsat 8 data

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Open access
Authors
Gilmore, S.
Saleem, Ashty
Dewan, Ashraf
Date
2015
Type
Conference Paper

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Gilmore, S. and Saleem, A. and Dewan, A. 2015. Effectiveness of DOS (Dark-Object Subtraction) method and water index techniques to map wetlands in a rapidly urbanising megacity with Landsat 8 data, in Veenendaal, B. and Kealy, A. (ed), Proceedings of Research@Locate in conjunction with the annual conference on spatial information in Australia and New Zealand, Vol-1323, Mar 10-12 2015, pp. 100-108. Brisbane: CEUR-WS.
Source Title
Research@Locate '15
Source Conference
Research@Locate '15
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Department of Spatial Sciences
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This open access article is distributed under the Creative Commons license http://creativecommons.org/publicdomain/zero/1.0/

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Abstract

The objectives of this work were to examine the applicability of the Dark-Object Subtraction (DOS) atmospheric correction method and water-based index techniques to map wetlands in Dhaka megacity using Landsat 8 data. With the use of both raw data and DOS- corrected imagery, the analysis revealed that DOS- corrected images performed better in discriminating wetland areas. Furthermore, the Modified Normalised Water Index (MNDWI) was the most superior technique whilst the Normalised Difference Water Index (NDWI) was the least suitable in identifying the spatial locations of wetlands in a rapidly urbanising environment such as Dhaka.