Monitoring urban growth by using segmentation-classification of multispectral Landsat images in Izmit, Turkey
Assessing the spatial land use and land cover (LULC) information is essential for decision making and management of landscapes. In fact, LULC information has been changed dramatically in fast-growing cities. This results in wrong land use problems due to unplanned and uncontrolled urbanization. The...
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description | Assessing the spatial land use and land cover (LULC) information is essential for decision making and management of landscapes. In fact, LULC information has been changed dramatically in fast-growing cities. This results in wrong land use problems due to unplanned and uncontrolled urbanization. The planning and evaluating of limited natural resources under the pressure of a growing population can be possible when a precise land use management plan is established. Therefore, it is imperative to monitor continuous LULC changes for future planning. Remote sensing (RS) technique is used for determining changes in LULC in urban areas. In this study, we have focused on Izmit, which is one of a growing number of metropolitan cities where the impact of the spatial growing period on LULC has been assessed over the past 30 years by using RS data. We have utilized the segmentation process and supervised classification of Landsat satellite images for four different dates (1985, 1995, 2005, and 2015). The outcome of this research can be summarized by significant changes in the shares of urban areas and farmland LULC classes. The overall observed increase in urban area class is up to 2177 ha between 1985 and 2015 period and this dramatic change has resulted in the decline of 1211 ha of farmland. Another conclusion is that the new residential areas have been created to the north, south and east of Izmit during this period. |
doi_str_mv | 10.1007/s10661-016-5392-2 |
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In fact, LULC information has been changed dramatically in fast-growing cities. This results in wrong land use problems due to unplanned and uncontrolled urbanization. The planning and evaluating of limited natural resources under the pressure of a growing population can be possible when a precise land use management plan is established. Therefore, it is imperative to monitor continuous LULC changes for future planning. Remote sensing (RS) technique is used for determining changes in LULC in urban areas. In this study, we have focused on Izmit, which is one of a growing number of metropolitan cities where the impact of the spatial growing period on LULC has been assessed over the past 30 years by using RS data. We have utilized the segmentation process and supervised classification of Landsat satellite images for four different dates (1985, 1995, 2005, and 2015). The outcome of this research can be summarized by significant changes in the shares of urban areas and farmland LULC classes. The overall observed increase in urban area class is up to 2177 ha between 1985 and 2015 period and this dramatic change has resulted in the decline of 1211 ha of farmland. Another conclusion is that the new residential areas have been created to the north, south and east of Izmit during this period.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-016-5392-2</identifier><identifier>PMID: 27270481</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Accuracy ; Agricultural land ; Agriculture ; Atmospheric Protection/Air Quality Control/Air Pollution ; Cities ; Classification ; Conservation of Natural Resources ; Decision making ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental monitoring ; Environmental Monitoring - methods ; Geographic Information Systems ; Grasslands ; Land management ; Land settlement ; Land use ; Landsat ; Landsat satellites ; Monitoring/Environmental Analysis ; Natural resources ; Planning ; Population ; Population Growth ; Remote sensing ; Residential areas ; Satellite Imagery - methods ; Studies ; Turkey ; Urban agriculture ; Urban areas ; Urban development ; Urban sprawl ; Urbanization ; Urbanization - trends</subject><ispartof>Environmental monitoring and assessment, 2016-07, Vol.188 (7), p.393-393, Article 393</ispartof><rights>Springer International Publishing Switzerland 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-2c0f2320e46053298506ce9bd05359e7dee45ef64b2a55086ecc2b0a084989213</citedby><cites>FETCH-LOGICAL-c372t-2c0f2320e46053298506ce9bd05359e7dee45ef64b2a55086ecc2b0a084989213</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-016-5392-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-016-5392-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27270481$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yildiz, Selin</creatorcontrib><creatorcontrib>Doker, Mehmet Fatih</creatorcontrib><title>Monitoring urban growth by using segmentation-classification of multispectral Landsat images in Izmit, Turkey</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Assessing the spatial land use and land cover (LULC) information is essential for decision making and management of landscapes. 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Academic</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yildiz, Selin</au><au>Doker, Mehmet Fatih</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring urban growth by using segmentation-classification of multispectral Landsat images in Izmit, Turkey</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2016-07-01</date><risdate>2016</risdate><volume>188</volume><issue>7</issue><spage>393</spage><epage>393</epage><pages>393-393</pages><artnum>393</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Assessing the spatial land use and land cover (LULC) information is essential for decision making and management of landscapes. In fact, LULC information has been changed dramatically in fast-growing cities. This results in wrong land use problems due to unplanned and uncontrolled urbanization. The planning and evaluating of limited natural resources under the pressure of a growing population can be possible when a precise land use management plan is established. Therefore, it is imperative to monitor continuous LULC changes for future planning. Remote sensing (RS) technique is used for determining changes in LULC in urban areas. In this study, we have focused on Izmit, which is one of a growing number of metropolitan cities where the impact of the spatial growing period on LULC has been assessed over the past 30 years by using RS data. We have utilized the segmentation process and supervised classification of Landsat satellite images for four different dates (1985, 1995, 2005, and 2015). The outcome of this research can be summarized by significant changes in the shares of urban areas and farmland LULC classes. The overall observed increase in urban area class is up to 2177 ha between 1985 and 2015 period and this dramatic change has resulted in the decline of 1211 ha of farmland. Another conclusion is that the new residential areas have been created to the north, south and east of Izmit during this period.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>27270481</pmid><doi>10.1007/s10661-016-5392-2</doi><tpages>1</tpages></addata></record> |
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subjects | Accuracy Agricultural land Agriculture Atmospheric Protection/Air Quality Control/Air Pollution Cities Classification Conservation of Natural Resources Decision making Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental monitoring Environmental Monitoring - methods Geographic Information Systems Grasslands Land management Land settlement Land use Landsat Landsat satellites Monitoring/Environmental Analysis Natural resources Planning Population Population Growth Remote sensing Residential areas Satellite Imagery - methods Studies Turkey Urban agriculture Urban areas Urban development Urban sprawl Urbanization Urbanization - trends |
title | Monitoring urban growth by using segmentation-classification of multispectral Landsat images in Izmit, Turkey |
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