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The effects of climate on land use/cover: a case study in Turkey by using remote sensing data

dc.contributor.authorZeren Cetin, Ilknur
dc.contributor.authorVarol, Tugrul
dc.contributor.authorOzel, Halil Baris
dc.contributor.authorSevik, Hakan
dc.date.accessioned2026-01-04T17:08:47Z
dc.date.issued2022-08-18
dc.description.abstractEconomic and industrial development results in worldwide population concentration in cities, leading to increases in impervious surfaces. Thus, the surface temperatures increase and cities are exposed to the urban heat island effect. This study analyzed the changes in the urban heat island effect in the 30 years (from 1990 to 2021) in the central district of Bartin. In this sense, there were two primary goals. Firstly, land use/land cover change, land surface temperature (LST), normalized difference built-up index (NDBI), and normalized difference vegetation index (NDVI) were analyzed by using remote sensing methods between 1990 and 2021. Secondly, a linear regression analysis was conducted to determine the factors associated with LST, NDVI, and NDBI. The study results revealed increases in urban surfaces and the average land surface temperature values in the past 30 years and showed a decline in the vegetation. Regression analysis results indicated a strong negative relationship between LST and NDVI and a strong positive relationship between LST and NDBI. It was also found a robust negative relationship between NDBI and NDVI. In light of the findings, it was stated that the amount of open and green areas should be increased in order to prevent the negative effects of the urban heat island in the central district of Bartin. For this purpose, it has been proposed to encourage green roof systems throughout the city, to create city parks and to create a green belt system. In addition, as a result of the study, the importance of preventing forest destruction caused by over settlement in the Mountains, which is one of the rare habitats of the world with different plant species, was emphasized. In this sense, legal sanctions should be employed to protect those areas and prevent construction.
dc.description.urihttps://doi.org/10.1007/s11356-022-22566-z
dc.description.urihttps://pubmed.ncbi.nlm.nih.gov/35978246
dc.description.urihttps://hdl.handle.net/11772/23057
dc.description.urihttp://hdl.handle.net/11772/9286
dc.description.urihttp://hdl.handle.net/11772/11588
dc.description.urihttps://aperta.ulakbim.gov.tr/record/254995
dc.identifier.doi10.1007/s11356-022-22566-z
dc.identifier.eissn1614-7499
dc.identifier.endpage5699
dc.identifier.issn0944-1344
dc.identifier.openairedoi_dedup___::40c2f987ea60925a996107da87d40fb5
dc.identifier.orcid0000-0003-3908-0370
dc.identifier.orcid0000-0002-0499-2129
dc.identifier.orcid0000-0001-9518-3281
dc.identifier.orcid0000-0003-1662-4830
dc.identifier.pubmed35978246
dc.identifier.scopus2-s2.0-85136232524
dc.identifier.startpage5688
dc.identifier.urihttps://hdl.handle.net/20.500.12597/39926
dc.identifier.volume30
dc.identifier.wos000843609800001
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.rightsOPEN
dc.subjectHot Temperature
dc.subjectTurkey
dc.subjectHealth, Toxicology and Mutagenesis
dc.subjectUrbanization
dc.subjectLand Surface Temperature (Lst)
dc.subjectTemperature
dc.subjectNormalized Difference Vegetation Index (Ndvi)
dc.subjectRemote Sensing Technology
dc.subjectNormalized Difference Built-Up Index (Ndbi)
dc.subjectCities
dc.subjectEnvironmental Monitoring
dc.subject.sdg15. Life on land
dc.subject.sdg12. Responsible consumption
dc.subject.sdg13. Climate action
dc.subject.sdg11. Sustainability
dc.titleThe effects of climate on land use/cover: a case study in Turkey by using remote sensing data
dc.typeArticle
dspace.entity.typePublication
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Firstly, land use/land cover change, land surface temperature (LST), normalized difference built-up index (NDBI), and normalized difference vegetation index (NDVI) were analyzed by using remote sensing methods between 1990 and 2021. Secondly, a linear regression analysis was conducted to determine the factors associated with LST, NDVI, and NDBI. The study results revealed increases in urban surfaces and the average land surface temperature values in the past 30 years and showed a decline in the vegetation. Regression analysis results indicated a strong negative relationship between LST and NDVI and a strong positive relationship between LST and NDBI. It was also found a robust negative relationship between NDBI and NDVI. In light of the findings, it was stated that the amount of open and green areas should be increased in order to prevent the negative effects of the urban heat island in the central district of Bartin. For this purpose, it has been proposed to encourage green roof systems throughout the city, to create city parks and to create a green belt system. In addition, as a result of the study, the importance of preventing forest destruction caused by over settlement in the Mountains, which is one of the rare habitats of the world with different plant species, was emphasized. 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