Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq

The growth of urban areas has a significant impact on land use by replacing areas of vegetation with residential and commercial areas and their related infrastructure; this escalates the land surface temperature (LST). Rapid urban growth has occurred in Duhok City due to enhanced political and econo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Climate (Basel) 2017-03, Vol.5 (1), p.13
1. Verfasser: Faqe Ibrahim, Gaylan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 13
container_title Climate (Basel)
container_volume 5
creator Faqe Ibrahim, Gaylan
description The growth of urban areas has a significant impact on land use by replacing areas of vegetation with residential and commercial areas and their related infrastructure; this escalates the land surface temperature (LST). Rapid urban growth has occurred in Duhok City due to enhanced political and economic growth during the period of this study. The objective is to investigate the effect of land use changes on LST; this study depends on data from three Landsat images (two Landsat 5-TM and Landsat OLI_TIRS-8) from 1990, 2000 and 2016. Supervised classification was used to compute land use/cover categories, and to generate the land surface temperature (LST) maps the Mono-window algorithm was used. Images were also used to create the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference bareness index (NDBAI) and normalized difference water index (NDWI) maps. Linear regression analysis was used to generate relationships between LST with NDVI, NDBI, NDBAI and NDWI. The study outcome proves that the changes in land use/cover have a significant role in the escalation of land surface temperatures. The highest temperatures are associated with barren land and built-up areas, ranging from 47°C, 50°C, 56°C while lower temperatures are related to water bodies and forests, ranging from 25°C, 26°C, 29°C respectively, in 1990, 2000 and 2016. This study also proves that NDVI and NDWI correlate negatively with low temperatures while NDBI and NDBAI correlate positively with high temperatures.
doi_str_mv 10.3390/cli5010013
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1888924407</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1888924407</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-f85cc7ceeeb1a9eb3ea627feae51242009b3bb6634dd813c2f735932c87687bc3</originalsourceid><addsrcrecordid>eNpNkN1KAzEQhYMoWGpvfIKAd8JqfvYn652srRYLgm2vl2x20k1td9skK_QZfGlTWtC5mcNw-A5zELql5IHznDyqjUkIJYTyCzRgjCURpUl8-U9fo5FzaxImp1xQMUA_S1vJFs9kW-Olg5Moum-wuGhkuwKHj5dFA8bisdagPO7O_nlvtVSAF7DdgZW-t_CECxkoc9_Xh8Az7Qq_dE3_hQvjD9i02DeA33tbG-dD7CesTKB1Gk-t3N-gKy03DkbnPUTLyXhRvEWzj9dp8TyLFMsTH2mRKJUpAKiozKHiIFOWaZCQUBaz8FvFqypNeVzXgnLFdMaTnDMlslRkleJDdHfi7my378H5ct31tg2RJRVC5CyOSRZc9yeXsp1zFnS5s2Yr7aGkpDz2Xf71zX8Bkn5yWA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1888924407</pqid></control><display><type>article</type><title>Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Faqe Ibrahim, Gaylan</creator><creatorcontrib>Faqe Ibrahim, Gaylan</creatorcontrib><description>The growth of urban areas has a significant impact on land use by replacing areas of vegetation with residential and commercial areas and their related infrastructure; this escalates the land surface temperature (LST). Rapid urban growth has occurred in Duhok City due to enhanced political and economic growth during the period of this study. The objective is to investigate the effect of land use changes on LST; this study depends on data from three Landsat images (two Landsat 5-TM and Landsat OLI_TIRS-8) from 1990, 2000 and 2016. Supervised classification was used to compute land use/cover categories, and to generate the land surface temperature (LST) maps the Mono-window algorithm was used. Images were also used to create the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference bareness index (NDBAI) and normalized difference water index (NDWI) maps. Linear regression analysis was used to generate relationships between LST with NDVI, NDBI, NDBAI and NDWI. The study outcome proves that the changes in land use/cover have a significant role in the escalation of land surface temperatures. The highest temperatures are associated with barren land and built-up areas, ranging from 47°C, 50°C, 56°C while lower temperatures are related to water bodies and forests, ranging from 25°C, 26°C, 29°C respectively, in 1990, 2000 and 2016. This study also proves that NDVI and NDWI correlate negatively with low temperatures while NDBI and NDBAI correlate positively with high temperatures.</description><identifier>ISSN: 2225-1154</identifier><identifier>EISSN: 2225-1154</identifier><identifier>DOI: 10.3390/cli5010013</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Barren lands ; Case studies ; Economic development ; Economic growth ; Environmental impact ; Forests ; Growth ; High temperature ; Land cover ; Land surface temperature ; Land use ; Landsat ; Landsat satellites ; Low temperature ; Mathematical models ; Normalized difference vegetative index ; Regression analysis ; Remote sensing ; Residential areas ; Satellite imagery ; Surface temperature ; Temperature ; Temperature effects ; Urban areas ; Urban development ; Urban sprawl ; Vegetation ; Vegetation changes ; Vegetation index</subject><ispartof>Climate (Basel), 2017-03, Vol.5 (1), p.13</ispartof><rights>Copyright MDPI AG 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-f85cc7ceeeb1a9eb3ea627feae51242009b3bb6634dd813c2f735932c87687bc3</citedby><cites>FETCH-LOGICAL-c295t-f85cc7ceeeb1a9eb3ea627feae51242009b3bb6634dd813c2f735932c87687bc3</cites><orcidid>0000-0001-8772-4404</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Faqe Ibrahim, Gaylan</creatorcontrib><title>Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq</title><title>Climate (Basel)</title><description>The growth of urban areas has a significant impact on land use by replacing areas of vegetation with residential and commercial areas and their related infrastructure; this escalates the land surface temperature (LST). Rapid urban growth has occurred in Duhok City due to enhanced political and economic growth during the period of this study. The objective is to investigate the effect of land use changes on LST; this study depends on data from three Landsat images (two Landsat 5-TM and Landsat OLI_TIRS-8) from 1990, 2000 and 2016. Supervised classification was used to compute land use/cover categories, and to generate the land surface temperature (LST) maps the Mono-window algorithm was used. Images were also used to create the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference bareness index (NDBAI) and normalized difference water index (NDWI) maps. Linear regression analysis was used to generate relationships between LST with NDVI, NDBI, NDBAI and NDWI. The study outcome proves that the changes in land use/cover have a significant role in the escalation of land surface temperatures. The highest temperatures are associated with barren land and built-up areas, ranging from 47°C, 50°C, 56°C while lower temperatures are related to water bodies and forests, ranging from 25°C, 26°C, 29°C respectively, in 1990, 2000 and 2016. This study also proves that NDVI and NDWI correlate negatively with low temperatures while NDBI and NDBAI correlate positively with high temperatures.</description><subject>Barren lands</subject><subject>Case studies</subject><subject>Economic development</subject><subject>Economic growth</subject><subject>Environmental impact</subject><subject>Forests</subject><subject>Growth</subject><subject>High temperature</subject><subject>Land cover</subject><subject>Land surface temperature</subject><subject>Land use</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Low temperature</subject><subject>Mathematical models</subject><subject>Normalized difference vegetative index</subject><subject>Regression analysis</subject><subject>Remote sensing</subject><subject>Residential areas</subject><subject>Satellite imagery</subject><subject>Surface temperature</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Urban areas</subject><subject>Urban development</subject><subject>Urban sprawl</subject><subject>Vegetation</subject><subject>Vegetation changes</subject><subject>Vegetation index</subject><issn>2225-1154</issn><issn>2225-1154</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkN1KAzEQhYMoWGpvfIKAd8JqfvYn652srRYLgm2vl2x20k1td9skK_QZfGlTWtC5mcNw-A5zELql5IHznDyqjUkIJYTyCzRgjCURpUl8-U9fo5FzaxImp1xQMUA_S1vJFs9kW-Olg5Moum-wuGhkuwKHj5dFA8bisdagPO7O_nlvtVSAF7DdgZW-t_CECxkoc9_Xh8Az7Qq_dE3_hQvjD9i02DeA33tbG-dD7CesTKB1Gk-t3N-gKy03DkbnPUTLyXhRvEWzj9dp8TyLFMsTH2mRKJUpAKiozKHiIFOWaZCQUBaz8FvFqypNeVzXgnLFdMaTnDMlslRkleJDdHfi7my378H5ct31tg2RJRVC5CyOSRZc9yeXsp1zFnS5s2Yr7aGkpDz2Xf71zX8Bkn5yWA</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Faqe Ibrahim, Gaylan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7U6</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0001-8772-4404</orcidid></search><sort><creationdate>20170301</creationdate><title>Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq</title><author>Faqe Ibrahim, Gaylan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-f85cc7ceeeb1a9eb3ea627feae51242009b3bb6634dd813c2f735932c87687bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Barren lands</topic><topic>Case studies</topic><topic>Economic development</topic><topic>Economic growth</topic><topic>Environmental impact</topic><topic>Forests</topic><topic>Growth</topic><topic>High temperature</topic><topic>Land cover</topic><topic>Land surface temperature</topic><topic>Land use</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>Low temperature</topic><topic>Mathematical models</topic><topic>Normalized difference vegetative index</topic><topic>Regression analysis</topic><topic>Remote sensing</topic><topic>Residential areas</topic><topic>Satellite imagery</topic><topic>Surface temperature</topic><topic>Temperature</topic><topic>Temperature effects</topic><topic>Urban areas</topic><topic>Urban development</topic><topic>Urban sprawl</topic><topic>Vegetation</topic><topic>Vegetation changes</topic><topic>Vegetation index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Faqe Ibrahim, Gaylan</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>Climate (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Faqe Ibrahim, Gaylan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq</atitle><jtitle>Climate (Basel)</jtitle><date>2017-03-01</date><risdate>2017</risdate><volume>5</volume><issue>1</issue><spage>13</spage><pages>13-</pages><issn>2225-1154</issn><eissn>2225-1154</eissn><abstract>The growth of urban areas has a significant impact on land use by replacing areas of vegetation with residential and commercial areas and their related infrastructure; this escalates the land surface temperature (LST). Rapid urban growth has occurred in Duhok City due to enhanced political and economic growth during the period of this study. The objective is to investigate the effect of land use changes on LST; this study depends on data from three Landsat images (two Landsat 5-TM and Landsat OLI_TIRS-8) from 1990, 2000 and 2016. Supervised classification was used to compute land use/cover categories, and to generate the land surface temperature (LST) maps the Mono-window algorithm was used. Images were also used to create the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference bareness index (NDBAI) and normalized difference water index (NDWI) maps. Linear regression analysis was used to generate relationships between LST with NDVI, NDBI, NDBAI and NDWI. The study outcome proves that the changes in land use/cover have a significant role in the escalation of land surface temperatures. The highest temperatures are associated with barren land and built-up areas, ranging from 47°C, 50°C, 56°C while lower temperatures are related to water bodies and forests, ranging from 25°C, 26°C, 29°C respectively, in 1990, 2000 and 2016. This study also proves that NDVI and NDWI correlate negatively with low temperatures while NDBI and NDBAI correlate positively with high temperatures.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/cli5010013</doi><orcidid>https://orcid.org/0000-0001-8772-4404</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2225-1154
ispartof Climate (Basel), 2017-03, Vol.5 (1), p.13
issn 2225-1154
2225-1154
language eng
recordid cdi_proquest_journals_1888924407
source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Barren lands
Case studies
Economic development
Economic growth
Environmental impact
Forests
Growth
High temperature
Land cover
Land surface temperature
Land use
Landsat
Landsat satellites
Low temperature
Mathematical models
Normalized difference vegetative index
Regression analysis
Remote sensing
Residential areas
Satellite imagery
Surface temperature
Temperature
Temperature effects
Urban areas
Urban development
Urban sprawl
Vegetation
Vegetation changes
Vegetation index
title Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T02%3A21%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Urban%20Land%20Use%20Land%20Cover%20Changes%20and%20Their%20Effect%20on%20Land%20Surface%20Temperature:%20Case%20Study%20Using%20Dohuk%20City%20in%20the%20Kurdistan%20Region%20of%20Iraq&rft.jtitle=Climate%20(Basel)&rft.au=Faqe%20Ibrahim,%20Gaylan&rft.date=2017-03-01&rft.volume=5&rft.issue=1&rft.spage=13&rft.pages=13-&rft.issn=2225-1154&rft.eissn=2225-1154&rft_id=info:doi/10.3390/cli5010013&rft_dat=%3Cproquest_cross%3E1888924407%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1888924407&rft_id=info:pmid/&rfr_iscdi=true