Land use and land cover mapping using rule-based classification in Karbala City, Iraq

Ahmed, AA; Kalantar, B; Pradhan, B; Mansor, S; Sameen, MI

Land use and land cover mapping using rule-based classification in Karbala City, Iraq

Ahmed, AA Kalantar, B Pradhan, B

Mansor, S Sameen, MI

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Publication Type:: Conference Proceeding
Citation:: 2019, 9 pp. 1019 - 1027
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Ahmed, AA	en_US
dc.contributor.author	Kalantar, B	en_US
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054	en_US
dc.contributor.author	Mansor, S	en_US
dc.contributor.author	Sameen, MI	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	2019, 9 pp. 1019 - 1027	en_US
dc.identifier.issn	2366-2557	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130794
dc.description.abstract	© Springer Nature Singapore Pte Ltd. 2019. Land use and land cover are important and useful geographic information system (GIS) layers that have been used for a wide range of geospatial applications. These layers are usually generated by applying digital image processing steps for a satellite image or images captured from an aircraft. Several methods are available in literature to produce such GIS layers. Image classification is the main method that has been used by many researchers to produce thematic maps. In the current study, a decision tree was used to develop rulesets at object level. These rules were applied and a thematic map of Karbala city was produced from SPOT image. The overall accuracy of the classification image was 96% and the kappa index was 0.95. The results indicated that the proposed classification method is effective and can produce promising results.	en_US
dc.relation.isbasedon	10.1007/978-981-10-8016-6_71	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Land use and land cover mapping using rule-based classification in Karbala City, Iraq	en_US
dc.type	Conference Proceeding
utslib.citation.volume	9	en_US
utslib.for	0909 Geomatic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	9	en_US

Abstract:

© Springer Nature Singapore Pte Ltd. 2019. Land use and land cover are important and useful geographic information system (GIS) layers that have been used for a wide range of geospatial applications. These layers are usually generated by applying digital image processing steps for a satellite image or images captured from an aircraft. Several methods are available in literature to produce such GIS layers. Image classification is the main method that has been used by many researchers to produce thematic maps. In the current study, a decision tree was used to develop rulesets at object level. These rules were applied and a thematic map of Karbala city was produced from SPOT image. The overall accuracy of the classification image was 96% and the kappa index was 0.95. The results indicated that the proposed classification method is effective and can produce promising results.

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http://hdl.handle.net/10453/130794