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				<publisherName>Zibeline International Publishing</publisherName>
				<publisherLoc>Malaysian Journal of Geosciences</publisherLoc>
			</publisherInfo>
			
			<doi origin="razipublishing" registered="yes">10.26480/mjg.02.2025.110.116</doi>
			
			<issn type="online">2521-0920</issn>
			<issn type="print">2521-0602</issn>
			
			<titleGroup>
				<title type="subject" xml:lang="en" sort="Malaysian Journal of Geosciences">Malaysian Journal of Geosciences</title>
				<title type="title">GEOSPATIAL-BASED MULTI-TEMPORAL CHANGE ANALYSIS OF URBAN WATERBODIES IN DHAKA CITY OF BANGLADESH</title>
			</titleGroup>
			
			<copyright ownership="publisher">Copyright © 2017 Zibeline International Publishing</copyright>
			
			<eventGroup>
				<event type="publication_date" date="19-06-2025"/>
			</eventGroup>
		
			<creators>

				<creator xml:id="msi" creatorRole="editor">
					<personName>
						<editorNames>Md Shafiqul Islam</editorNames> 
					</personName>
				</creator>   
                <creator xml:id="ih" creatorRole="editor">
					<personName>
						<editorNames>Irteja Hasan</editorNames> 
					</personName>
				</creator> 
                <creator xml:id="mho" creatorRole="editor">
					<personName>
						<editorNames>Mehedi Hasan Ovi</editorNames> 
					</personName>
				</creator> 
                <creator xml:id="dkr" creatorRole="editor">
					<personName>
						<editorNames>Dhiman Kumar Roy</editorNames> 
					</personName>
				</creator> 
                <creator xml:id="mmhr" creatorRole="editor">
					<personName>
						<editorNames>Md Mahmudul Hasan Rakib</editorNames> 
					</personName>
				</creator> 
                <creator xml:id="mt" creatorRole="editor">
					<personName>
						<editorNames>Md. Touhiduzzaman</editorNames> 
					</personName>
				</creator> 
                <creator xml:id="mni" creatorRole="editor">
					<personName>
						<editorNames>Md. Nazrul Islam</editorNames> 
					</personName>
				</creator> 
                <creator xml:id="msim" creatorRole="editor">
					<personName>
						<editorNames>Md. Sagirul Islam Majumder</editorNames> 
					</personName>
				</creator> 
                <creator xml:id="ty" creatorRole="editor">
					<personName>
						<editorNames>Tania Yeasmin</editorNames> 
					</personName>
				</creator>  
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		<citation_keywords>
		    <keyword>Waterbody, NDWI, Vegetation, GIS, Remote Sensing, Bangladesh</keyword>
		</citation_keywords>
			
		<citation_pdfformat>
		     <pdf_url>https://zibelinepub.com/archives/2mjg2025/2mjg2025-110-116.pdf</pdf_url>
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	         <xml_url>https://zibelinepub.com/xml/2mjg2025/2mjg2025-110-116.xml</xml_url>
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	   <citation_volume>
	       <volume>9</volume>
	   </citation_volume>
	   
	   <citation_issue>
	        <issue>2</issue>
	   </citation_issue>
	   
	   <citation_pages>
	      <pages>110-116</pages>
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	   <citation_fulltext_html>
	       <fulltext_html>https://myjgeosc.com/mjg-02-2025-110-116/</fulltext_html>
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			<abstract type="main" xml:lang="en">
			<title type="main">Summary</title>
			
					<p>Dhaka the capital city of Bangladesh has experienced a steady loss of waterbodies over the last few decadesdue to unsustainable urbanization and climate change. This study employs remote sensing and geospatialtechnology to investigate the spatial-temporal changes of waterbodies of Dhaka city over a 30-year period.This study relied, primarily, on the Normalized Difference Water Index (NDWI) method for the identificationand classification of the waterbodies (and non-waterbodies) followed by change detection and accuracyassessment. In addition to this NDWI approach, a supervised LULC classification -followed by changedetection has been undertaken for the evaluation of the spatial and temporal dynamics of the LULC classes(Bare Land, Built-up Area, Vegetation and Waterbody). The results of the NDWI-based assessment primarilydemonstrate that the extent of the waterbody area has disappeared significantly, from 84.19 km2 in 1992 to37.20 km2 in 2022. This indicates that more than half of the waterbody area has been lost over these 30 years.The overall classification accuracy was 88%, 92% and 90% respectively for the study years 1992, 2007 and2022, with kappa values of 0.84, 0.88 and 0.86 for each respective study year. The supervised LULCclassification and change detection present a dynamic picture of the LULC transition, which reveals that thegrowth of built-up areas is the principal driver leading to the loss of 15.083 km² of waterbodies and 27.483km² of vegetation over the study period. Finally, based on the findings, this study provides a briefing on thelikely reasons underlying this dynamic LULC transformation as well as plausible policy strategies to reversethe trend. The findings of this study could be useful to policymakers for the long-term planning andmanagement of urban water resources as well as sustainable urban planning and environmentalmanagement of this capital city.</p>
			</abstract>

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