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dc.contributor.authorGilmore, S.
dc.contributor.authorSaleem, Ashty
dc.contributor.authorDewan, Ashraf
dc.contributor.editorB. Veenendaal
dc.contributor.editorA. Kealy
dc.date.accessioned2017-01-30T15:10:53Z
dc.date.available2017-01-30T15:10:53Z
dc.date.created2015-07-16T06:22:04Z
dc.date.issued2015
dc.identifier.citationGilmore, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/43918
dc.description.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.

dc.publisherhttp:http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/.
dc.relation.urihttp://ceur-ws.org/Vol-1323/
dc.titleEffectiveness of DOS (Dark-Object Subtraction) method and water index techniques to map wetlands in a rapidly urbanising megacity with Landsat 8 data
dc.typeConference Paper
dcterms.source.startPage100
dcterms.source.endPage108
dcterms.source.titleResearch@Locate '15
dcterms.source.seriesResearch@Locate '15
dcterms.source.conferenceResearch@Locate '15
dcterms.source.conference-start-dateMar 10 2015
dcterms.source.conferencelocationBrisbane
dcterms.source.placeRedaktion Sun SITE, Informatik V, RWTH Aachen, Ahornstr. 55, 52056 Aachen, Germany
curtin.note

This open access article is distributed under the Creative Commons license http://creativecommons.org/publicdomain/zero/1.0/

curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusOpen access


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