Skip to main content
Log in

Assessment of vegetation change using NDVI, LST, and carbon analyses in Çankırı Karatekin University, Turkey

  • Research
  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Due to a rising population and urbanization, the green areas have been decreasing in cities, with a negative impact on air pollution, human health, and ecosystem. As part of the urban environment, university campuses contribute to urban ecosystem with their vegetation. This study aims to (1) assess the change of vegetative land cover of the Çankırı Karatekin University in Turkey and (2) evaluate its benefits to the ecosystem in terms of carbon sequestration, storage, and improvement of air quality by means of a simulation. In the study, the density and vegetation change were assessed with NDVI and LST analyses in ArcGIS; carbon emissions and air pollution benefits were estimated in i-Tree Canopy tool. The study showed that the healthy vegetation consisting of trees/shrubs and grass/herbaceous, which was 32.2% (28 ha) in 2000, increased to 85% (74 ha) in 2020 NDVI maps, and the surface temperature also increased between 2000 and 2020 in LST maps.

The rise in vegetation as grass/herbaceous areas instead of trees/shrubs and the use of impervious buildings/roads on the land surface increased the land surface temperature. As a result of the analyses in the i-Tree-Canopy tool, it was estimated that the trees/shrubs and grass/herbaceous vegetation canopy covering 31.42% of the study area removed a total of 512,845.65 g of pollutant gas and particles from the air, 20.79 tonnes of carbon sequestered annually, and 522.01 tonnes of carbon stored by vegetative land cover. In the simulation, where 32.62% soil/bare ground areas were converted to trees/shrubs in order to improve vegetation cover in the area, it was determined that it contributed 5 times more to the ecosystem service value for removing pollutants from the air, carbon storage, and improving the ecosystem. It was revealed that the vegetative land cover formed by tree/shrub species should be increased in the campus in the future. The study method model serves as a tool for planning and designing eco-friendly urban environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data availability

The authors ensure that all data and materials are available to support their published claims.

References

  • Akkartal, A., Türüdü, O., & Erbek, F. S. (2005). Çok Zamanlı Uydu Görüntüleri ile Bitki Örtüsü Değişim Analizi. TMMOB Harita ve Kadastro Mühendisleri Odası. 10. Türkiye Harita Bilimsel ve Teknik Kurultayı, 28 Mart – 1 Nisan, Ankara.

  • Alsharif, M. A., Peters, M. D., & Dixon, T. J. (2020). Designing and implementing effective campus sustainability in Saudi Arabian universities: An assessment of drivers and barriers in a rational choice theoretical context. Sustainability, 12(12), 5096. https://doi.org/10.3390/su12125096

    Article  Google Scholar 

  • Atak, B. K., & Tonyaloğlu, E. E. (2020). Alan Kullanım/Arazi Örtüsü ve Bitki Örtüsündeki Değişimin Arazi Yüzey Sıcaklığına Etkisinin Değerlendirilmesi: Aydın İli Örneği. Turkish Journal of Forestry, 21(4), 489–497. https://doi.org/10.18182/tjf.786827

    Article  Google Scholar 

  • Aygün, C., Sever, A. L., Kara, İ, Erdoğdu, İ, & Atalay, A. K. (2016). Eskişehir Meralarında Otlatmanın Planlamasında NDVI Verilerinin Kullanılması. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, 25(1), 66–77. https://doi.org/10.21566/tbmaed.61659

    Article  Google Scholar 

  • Bassett C. G (2015). The environmental benefits of trees on an urban university campus. Master thesis, University of Pennsylvania.

  • Çakmak, M. H., & Can, M. (2020). Mamak İlçesinin (Ankara) Hava Kalitesinin İyileştirilmesine Yönelik Düzenleyici Ekosistem Hizmetlerinin Hesaplanması. Bilge International Journal of Science and Technology Research, 4(2), 141–149. https://doi.org/10.30516/bilgesci.689509

    Article  Google Scholar 

  • Cimburova, Z., & Barton, D. (2020). The potential of geospatial analysis and Bayesian networks to enable i-Tree Eco assessment of existing tree inventories. Urban Forestry & Urban Greening, 55, 126801. https://doi.org/10.1016/j.ufug.2020.126801

    Article  Google Scholar 

  • Colding, J., & Barthel, S. (2017). The role of university campuses in reconnecting humans to the biosphere. Sustainability, 9(12), 2349. https://doi.org/10.3390/su9122349

    Article  Google Scholar 

  • Coşkun Hepcan, Ç., & Hepcan, Ş. (2017). Ege Üniversitesi Lojmanlar Yerleşkesinin Hava Kalitesinin İyileştirilmesine Yönelik Düzenleyici Ekosistem Servislerinin Hesaplanması. Ege Üniversitesi Ziraat Fakültesi Dergisi, 54(1), 113–120. https://doi.org/10.20289/zfdergi.299257

    Article  Google Scholar 

  • Cox, H. M. (2012). A sustainability initiative to quantify carbon sequestration by campus trees. Journal of Geography, 111(5), 173–183. https://doi.org/10.1080/00221341.2011.628046

    Article  Google Scholar 

  • Diener, A., & Mudu, P. (2021). How can vegetation protect us from air pollution? A critical review on green spaces mitigation abilities for air-borne particles from a public health perspective with implications for urban planning. Science of The Total Environment, 796, 148605. https://doi.org/10.1016/j.scitotenv.2021.148605

    Article  ADS  CAS  PubMed  Google Scholar 

  • Dilaver, Z., Yüksel, U. D., & Yılmaz, F. Ç. (2017). Contribution of university campuses to climate change mitigation: Ankara University Tandogan campus case. Fresenius Environmental Bulletin, 26(12), 7018–7024.

    CAS  Google Scholar 

  • EUCM (2016). Turkey National Air Quality Monitoring Network. Ministry of Environment, Urbanization and Climate Change https://sim.csb.gov.tr/Intro/Uhkia. Accessed 16 Mar 2023.

  • Forman, R. T. T. (2014). Urban ecology: Science of cities. Cambridge University Press.

    Book  Google Scholar 

  • Guha, S., & Govil, H. (2020). An Assessment on the relationship between land surface temperature and normalized difference vegetation index. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-020-00657-6

    Article  Google Scholar 

  • Hilde, T., & Paterson, R. (2014). Integrating ecosystem services analysis into scenario planning practice: Accounting for street tree benefits with i-Tree valuation in Central Texas. Journal of Environmental Management, 146, 524–534.

    Article  PubMed  Google Scholar 

  • Hutyra, L. R., Yoon, B., Hepinstall-Cymerman, J., & Alberti, M. (2011). Carbon consequences of land cover change and expansion of urban lands: A case study in the Seattle Metropolitan Region. Landscape and Urban Planning, 103(1), 83–93. https://doi.org/10.1016/j.landurbplan.2011.06.004

    Article  Google Scholar 

  • Kafy, A. A., Faisal, A. A., Rakib, A. A., Fattah, M. A., Rahaman, Z. A., Rahaman, Z. A., & Sattar, G. S. (2022). Impact of vegetation cover loss on surface temperature and carbon emission in a fastest-growing city, Cumilla Bangladesh. Building and Environment, 208, 108573.

    Article  Google Scholar 

  • Karakuş, C. B. (2019). The impact of land use/land cover (LULC) changes on land surface temperature in Sivas City Center and its surroundings and assessment of Urban Heat Island. Asia-Pacific Journal of Atmospheric Sciences, 55, 669–684.

    Article  ADS  Google Scholar 

  • Ku, C. A. (2020). Exploring the spatial and temporal relationship between air quality and urban land-use patterns based on an integrated method. Sustainability, 12, 2964. https://doi.org/10.3390/su12072964

    Article  Google Scholar 

  • Lindgren, B. W., & McElrath, G. W. (1969). Introduction to probability and statistics. Macmillan.

    Google Scholar 

  • Mallen, E., Bakin, J., Stone, B., Sivakumar, R., & Lanza, K. (2020). Thermal impacts of built and vegetated environments on local microclimates in an Urban University campus. Urban Climate, 32, 100640. https://doi.org/10.1016/j.uclim.2020.100640

    Article  Google Scholar 

  • Martin, N. A., Chappelka, A. H., Somers, G., Loewenstein, E. F., & Keever, G. J. (2013). Evaluation of sampling protocol for i-Tree Eco: A case study in predicting ecosystem services at Auburn University. Arboriculture & Urban Forestry, 39(2), 56–61. https://doi.org/10.48044/jauf.2013.008

    Article  Google Scholar 

  • Mohammadi, M., & Hosseinali, F. (2019). Assessment and comparison the location of six universities in Tehran City using GIS and multi criteria decision making methods. International Journal of Environment and Geoinformatics, 6(1), 143–147. https://doi.org/10.30897/ijegeo.551753

    Article  Google Scholar 

  • Nieuwenhuijsen, M. J. (2021). New urban models for more sustainable, liveable and healthier cities post Covid19; reducing air pollution, noise and heat island effects and increasing green space and physical activity. Environment International, 157, 106850. https://doi.org/10.1016/j.envint.2021.106850

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Özyavuz, M. (2011). Bitki Örtüsünün Ekolojik Şartlarının Coğrafi Bilgi Sistemleri ve Uzaktan Algılama Teknikleri ile Analizi, Ganos (Işıklar) Dağı. Tekirdağ. Tekirdağ Ziraat Fakültesi Dergisi, 8(2), 37–47.

    Google Scholar 

  • Ritchie, Y. (2017). Investigating the carbon sequestration and storage capacity of trees in a university campus environment. Dalhousie University.

    Google Scholar 

  • Saadatian, O., Sopian, K. B., & Salleh, E. (2013). Adaptation of sustainability community indicators for Malaysian campuses as small cities. Sustainable Cities and Society, 6, 40–50. https://doi.org/10.1016/j.scs.2012.08.002

    Article  Google Scholar 

  • Şahin Arslan, N. (2021). Parkların Hava Kirliğini Azaltıcı Etkisinin Çorum Örneğinde İncelenmesi. Turkish Journal of Forest Science, 5(2), 401–407. https://doi.org/10.32328/turkjforsci.917787

    Article  Google Scholar 

  • Şekertekin, A., & Marangoz, A. M. (2019). Zonguldak Metropolitan Alanındaki Arazi Kullanımı Arazi Örtüsünün Yer Yüzey Sıcaklığına Etkisi. Geomatik, 4(2), 101–111. https://doi.org/10.29128/geomatik.497051

    Article  ADS  Google Scholar 

  • Srivanit, M., & Hokao, K. (2013). Evaluating the cooling effects of greening for improving the outdoor thermal environment at an institutional campus in the summer. Build Environment, 66, 158–172. https://doi.org/10.1016/j.buildenv.2013.04.012

    Article  Google Scholar 

  • Taşkın, S. Z., & Bilgili, U. (2020). Çevre ve İnsan Sağlığı Açısından Çim Bitkilerinin Faydaları. Bursa Uludağ Üniversitesi Ziraat Fakültesi Dergisi, 34(2), 417–425.

    Google Scholar 

  • Tonyaloğlu, E., & Atak, B. K. (2021). Impact of land cover change on urban tree cover and potential regulating ecosystem services: The case of Aydın/Turkey. Environmental Monitoring and Assessment, 193(11), 736.

    Article  Google Scholar 

  • Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2), 127–150. https://doi.org/10.1016/0034-4257(79)90013-0

    Article  ADS  Google Scholar 

  • Tuğluer, M., & Gül, A. (2018). Kent ağaçlarının çevresel etkileri ve değerinin belirlenmesinde UFORE modelinin kullanımı ve Isparta örneğinde irdelenmesi. Turkish Journal of Forestry, 19(3), 293–307.

    Google Scholar 

  • Tülek, B. (2022). Measuring regulating ecosystem services for the impacts of global climate change and air quality service in Wageningen case area. International Journal of Environment, Agriculture and Biotechnology, 7(1), 79–83. https://doi.org/10.22161/ijeab.71.11

    Article  Google Scholar 

  • Turalıoğlu, F. S. (2011). The variations of ozone, nitrogen dioxide and sulphur dioxide being harmful on plants in atmosphere of Erzurum. Journal of the Agricultural Faculty of Gaziosmanpaşa University., 28(1), 73–77.

    Google Scholar 

  • USDA (2021). United States Department of Agriculture Forest Service, i-Tree Tools, i-Tree Canopy, https://www.fs.usda.gov/nrs/pubs/gtr/gtr_nrs200-2021.pdf. Accessed 29 Mar 2023.

  • USDA (2021a). United States Department of Agriculture Forest Service, i-Tree Tools, i-Tree Canopy, https://canopy.itreetools.org. Accessed 13 Mar 2023.

  • USGS (2019). Landsat 7 (L7) Data Users Handbook, United States Geological Survey. https://www.usgs.gov/landsat-missions/landsat-7-data-users-handbook. Accessed 06 Mar 2023.

  • USGS (2019a). Landsat 8 (L8) Data Users Handbook https://www.usgs.gov/landsat-missions/landsat-8-data-users-handbook. Accessed 06 Mar 2023.

  • Wang, X., Wang, Y., Qu, X., Huang, B., Li, Z., Junjiao, S., Wei, X., & Yang, X. (2021). Urban Trees in University Campus: Structure, Function, and Ecological Values. Environmental Science and Pollution Research, 28, 45183–45198. https://doi.org/10.1007/s11356-021-13841-6

    Article  PubMed  Google Scholar 

  • Weier J., & Herring D. (2000). Measuring vegetation (NDVI&EVI), NASA Earth Observatory https://earthobservatory.nasa.gov/features/MeasuringVegetation. Accessed 19 Jan 2023.

  • WHO (2022). Ambient (Outdoor) Air pollution, World Health Organization https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health. Accessed 15 Mar 2023.

  • Wibowo A., Yussof M., Hamzah T., & Salleh K.O. (2019). Urban heat signature impact on university campus. In: Hartono NT, Kusratmoko E, Supriatna SH, Susiloningtyas D (eds) Southeast Asian geography association, vol 338. IOP Conference Series-Earth and Environmental Science. https://doi.org/10.1088/1755-1315/338/1/012027

  • Wong, N. H., Jusuf, S. K., La Win, A. A., Thu, H. K., Negara, T. S., & Xuchao, W. (2007). Environmental study of the impact of greenery in an institutional campus in the tropics. Building and Environment, 42(8), 2949–2970. https://doi.org/10.1016/j.buildenv.2006.06.004

    Article  Google Scholar 

  • Yao, Y., Wang, Y., Ni, Z., Chen, S., & Xia, B. (2022). Improving air quality in Guangzhou with urban green infrastructure planning: An i-Tree Eco model study. Journal of Cleaner Production, 369, 133372. https://doi.org/10.1016/j.jclepro.2022.133372

    Article  CAS  Google Scholar 

  • Yılmaz, M. (2019). Çankırı Hava Kalitesinin Değerlendirilmesi: 2013–2017 Assessment of Çankırı Air Quality: 2013–2017. Smyrna Tıp Dergisi, 9(2), 20–27.

    Google Scholar 

  • Yue, W., Xu, J., Tan, W., & Xu, L. (2007). The relationship between land surface temperature and NDVI with remote sensing: Application to Shanghai Landsat 7 ETM+ data. International Journal of Remote Sensing, 28(15), 3205–3226.

    Article  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

Pelin Şahin Körmeçli wrote the main manuscript and contributed to analyzing the maps, acquisition, and interpretation and editing of data. Gamze Seçkin Gündoğan contributed to the data collection, analyzing the maps, and reading and revising the manuscript.

Corresponding author

Correspondence to Pelin Şahin Körmeçli.

Ethics declarations

All authors have read, have understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This is a US government work and not under copyright protection in the US; foreign copyright protection may apply (2023).

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Şahin Körmeçli, P., Seçkin Gündoğan, G. Assessment of vegetation change using NDVI, LST, and carbon analyses in Çankırı Karatekin University, Turkey. Environ Monit Assess 196, 331 (2024). https://doi.org/10.1007/s10661-024-12465-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-024-12465-w

Keywords

Navigation