Abstract
Urban Atlas (UA) data covering the large urban areas have been produced by the European Environment Agency for a variety of European countries including Turkey since 2006. The use of the UA data for the determination of spatiotemporal land use and density changes in urban areas. UA data of Eskisehir, Turkey, were used in order to detect the spatiotemporal changes between 2012 and 2018. CORINE data–based change detection and NDVI analysis were also made and compared with the results obtained from the UA data. The results based on the UA data revealed that the artificial surfaces in the study area increased by 17.65% and there was a 18.32% increase in the total amount of agricultural lands, natural lands, forests, and vegetation. Although CORINE data–based analyses showed a similar trend in land use/land cover changes, the amount of changes between 2012 and 2018 in CORINE and UA data–based analyses were found to be 4.99% and 17.55%, respectively. A 9.30% mismatch between the UA changes and NDVI difference data was also calculated. Research findings revealed that the utilization of the UA data in the urban territories would be advantageous especially in planning processes to detect and compare the changes in the artificial and non-artificial surfaces and NDVI analysis would be very supportive to control and compare the results. It is also concluded that this study may be a useful model to monitor the cities in accordance with the 2030 and 2050 policies of European Council on Land Use, Land Use Change and Forestry.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
Not applicable
Code availability
Not applicable
References
Adiguzel F, Cetin M, Kaya E, Simsek M, Gungor S, Sert EB (2020) Defining suitable areas for bioclimatic comfort for landscape planning and landscape management in Hatay, Turkey. Theoretical and Applied Climatology, 139(3), 1493–1503. Theor Appl Climatol 139: 1493–1503 (2020). https://doi.org/10.1007/s00704-019-03065-7
Akay SS, Sertel E (2016) Urban land cover/use change detection using high resolution SPOT 5 and SPOT 6 images and urban atlas nomenclature. The international archives of the photogrammetry, remote sensing and spatial information sciences, Volume XLI-B8, 2016 XXIII ISPRS Congress, 12–19 July 2016. Prague, Czech Republic, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 41:789–796. https://doi.org/10.5194/isprsarchives-XLI-B8-789-2016
Alhaddad BI, Burns MC, Roca J (2011) Methods for monitoring the detection of multi-temporal land use change through the classification of urban areas. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-4/C21, 83–88. 10.5194/isprsarchives-xxxviii-4-c21-83-2011
Ali S, Henchiri M, Sha Z, Wilson K, Yun B, Yao F, Zhang J (2020) A time series of land cover maps of South Asia from 2001 to 2015 generated using AVHRR GIMMS NDVI3g data. Environ Sci Pollut Res 27(16):20309–20320. https://doi.org/10.1007/s11356-020-08433-9
Bozdogan Sert E, Kaya E, Adiguzel F, Cetin M, Gungor S, Zeren Cetin I (2021) Dinc Y (2021) Effect of the surface temperature of surface materials on thermal comfort: a case study of Iskenderun (Hatay, Turkey). Theor Appl Climatol 144(1):103–113. https://doi.org/10.1007/s00704-021-03524-0
Cetin M (2015a) Using GIS analysis to assess urban green space in terms of accessibility: case study in Kutahya. Int J Sust Dev World 22(5):420–424. https://doi.org/10.1080/13504509.2015.1061066
Cetin M (2015b) Evaluation of the sustainable tourism potential of a protected area for landscape planning: a case study of the ancient city of Pompeipolis in Kastamonu. Int J Sust Dev World 22(6):490–495. https://doi.org/10.1080/13504509.2015.1081651
Cetin M (2016) Sustainability of urban coastal area management: a case study on Cide. J Sustain For 35(7):527–541. https://doi.org/10.1080/10549811.2016.1228072
Cetin M (2019) The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city. Air Quality, Atmosphere & Health, 12(10), 1237–1249. Air Qual Atmos Health 12: 1237–1249 (2019). https://doi.org/10.1007/s11869-019-00742-4
Cetin M, Adiguzel F, Gungor S, Kaya E, Sancar MC (2019) Evaluation of thermal climatic region areas in terms of building density in urban management and planning for Burdur, Turkey. Air Quality, Atmosphere & Health, 12(9), 1103–1112. Air Qual Atmos Health 12: 1103–1112 (2019). https://doi.org/10.1007/s11869-019-00727-3
Cetin M (2020a) The changing of important factors in the landscape planning occur due to global climate change in temperature, rain and climate types: a case study of Mersin City. Turk J Agric Food Sci Technol 8(12):2695–2701. https://doi.org/10.24925/turjaf.v8i12.2695-2701.3891
Cetin M (2020b) Climate comfort depending on different altitudes and land use in the urban areas in Kahramanmaras City. Air Qual Atmos Health 13(8):991–999. https://doi.org/10.1007/s11869-020-00858-y
Cetin M, Aksoy T, Cabuk SN, Kurkcuoglu MAS, Cabuk A (2021a) Employing remote sensing technique to monitor the influence of newly established universities in creating an urban development process on the respective cities. Land Use Policy 109:105705. https://doi.org/10.1016/j.landusepol.2021.105705
Cetin M, Agacsapan B, Cabuk SN, Senyel Kurkcuoglu MA, Isik Pekkan O, Baran Argun E, ... Cabuk A (2021b) Assessment of the ecological footprint of Eskisehir Technical University–Iki Eylul Campus. J Indian Soc Remote Sens 49 (10): 2311–2327 (2021). https://doi.org/10.1007/s12524-021-01395-6
Coppin P, Jonckheere I, Nackaerts K, Muys B, Lambin E (2004) Digital change detection methods in ecosystem monitoring: a review. Int J Remote Sens 25(9):1565–1596. https://doi.org/10.1080/0143116031000101675
de Pinto A, Nelson GC (2009) Land use change with spatially explicit data: a dynamic approach. Environ Resource Econ 43:209–229. https://doi.org/10.1007/s10640-008-9232-x
Dobesova Z (2020) Experiment in finding look-alike European cities using urban atlas data. ISPRS Int J Geo-Inf 9(6):406. https://doi.org/10.3390/ijgi9060406
European Environment Agency (EEA) (2012a) CORINE land cover — European Union, Copernicus Land Monitoring Service. https://land.copernicus.eu/pan-european/corine-land-cover. Accessed 22 July 2021
European Environment Agency (EEA) (2012b) Urban Atlas, Copernicus Land Monitoring Service. https://land.copernicus.eu/local/urban-atlas. Accessed 22 July 2021
European Environment Agency (EEA) (2018) Urban Atlas 2012–2018 mapping guide. https://land.copernicus.eu/user-corner/technical-library/urban_atlas_2012_2018_mapping_guide_v6-1.pdf. Accessed 22 July 2021
Fallati L, Savini A, Sterlacchini S, Galli P (2017) Land use and land cover (LULC) of the Republic of the Maldives: first national map and LULC change analysis using remote-sensing data. Environ Monit Assess 189(8):1–15. https://doi.org/10.1007/s10661-017-6120-2
Feranec J, Hazeu G, Christensen S, Jaffrain G (2007) Corine land cover change detection in Europe (case studies of the Netherlands and Slovakia). Land Use Policy 24(1):234–247. https://doi.org/10.1016/j.landusepol.2006.02.002
Gungor S, Cetin M, Adiguzel F (2021) Calculation of comfortable thermal conditions for Mersin urban city planning in Turkey. Air Qual Atmos Health 14(4): 515-522. Air Qual Atmos Health 14, 515–522 (2021). https://doi.org/10.1007/s11869-020-00955-y
Grgić M, Bašić T (2017) The analysis of land cover change in croatia based on corine model. International Multidisciplinary Scientific GeoConference: SGEM, Surveying Geology & Mining Ecology Management (SGEM) 2017. Sofia 17:695–701. https://doi.org/10.5593/sgem2017/23
Hailu A, Mammo S, Kidane M (2020) Dynamics of landuse, landcover change trend and its drivers in Jimma Geneti District Western Ethiopia. Land Use Policy 99(2–11):105011. https://doi.org/10.1016/j.landusepol.2020.105011
Hodge I (1984) Uncertainty, irreversibility and the loss of agricultural land. J Agric Econ 35(2):191–202
Kavlak MO, Cabuk SN, Cetin M (2021) Development of forest fire risk map using geographical information systems and remote sensing capabilities: Ören case. Environmental Science and Pollution Research, 1–27. Environ Sci Pollut Res 28:33265–33291. https://doi.org/10.1007/s11356-021-13080-9
Kolcsar RA, Csikos N, Szilassi P (2021) Testing the limitations of buffer zones and Urban atlas population data in urban green space provision analyses through the case study of Szeged, Hungary. Urban For Urban Green 57:126942. https://doi.org/10.1016/j.ufug.2020.126942
Konukcu F, Albut S, Alturk B (2017) Land use/land cover change modelling of ergene river basin in Western Turkey using CORINE land use/land cover data: Anadolu Üniversitesi Tüm Kaynaklar. Agronomy Research 15(2): 435–443. http://eds.a.ebscohost.com/eds/pdfviewer/pdfviewer?vid=9&sid=5d35b5eb-a0c8-4d62-81e5-a81ce7fd7670%40sessionmgr4007. Accessed 22 July 2021
Larondelle N, Haase D, Kabisch N (2014) Mapping the diversity of regulating ecosystem services in European cities. Glob Environ Chang 26:119–129. https://doi.org/10.1016/j.gloenvcha.2014.04.008
Lawrence PJ, Chase TN (2007) Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0). J Geophys Res Biogeosci 112:G01023. https://doi.org/10.1029/2006JG000168
Li G, Lu D, Moran E, Sant’Anna SJ (2012) Comparative analysis of classification algorithms and multiple sensor data for land use/land cover classification in the Brazilian Amazon. J Appl Remote Sens 6(1):061706. https://doi.org/10.1117/1.JRS.6.061706
Liu Y (2018) Introduction to land use and rural sustainability in China. Land Use Policy 74:1–4. https://doi.org/10.1016/j.landusepol.2018.01.032
Liu Y, Fang F, Li Y (2014) Key issues of land use in China and implications for policy making. Land Use Policy 40:6–12. https://doi.org/10.1016/j.landusepol.2013.03.013
Long H, Qu Y (2018) Land use transitions and land management: a mutual feedback perspective. Land Use Policy 74:111–120. https://doi.org/10.1016/j.landusepol.2017.03.021
Ovejero-Campos A, Fernández E, Ramos L, Bento R, Méndez-Martínez G (2019) Methodological limitations of CLC to assess land cover changes in coastal environments. J Coast Conserv 23:657–673. https://doi.org/10.1007/s11852-019-00696-w
Pazur R, Kopecká M, Feranec J (2015) Changes of artificial surfaces of Bratislava in 2006–2012 identified by the Urban Atlas data. In book: Land use/cover changes in selected regions in the world 11: 37–42. https://www.researchgate.net/publication/281841322. Accessed 22 July 2021
Pazur R, Feranec J, Stych P, Kopecka M, Holman L (2017) Changes of urbanised landscape identified and assessed by the Urban Atlas data: case study of Prague and Bratislava. Land Use Policy 61:135e146. https://doi.org/10.1016/j.landusepol.2016.11.022
Pekkan OI, Kurkcuoglu MAS, Cabuk SN, Aksoy T, Yilmazel B, Kucukpehlivan T, ... & Cetin M (2021) Assessing the effects of wind farms on soil organic carbon. Environmental Science and Pollution Research, 28(14), 18216–18233. Environ Sci Pollut Res 28: 18216–18233. https://doi.org/10.1007/s11356-020-11777-x
Petrescu F (2019) Urban sprawl from Urban Atlas data: Romanian case study, Management Research and Practice 11(2): 21–30. http://eds.a.ebscohost.com/eds/pdfviewer/pdfviewer?vid=17&sid=dd79950a-d57c-4891-b04e-f3e1058f9cef%40sdc-v-sessmgr02. Accessed 22 July 2021
Petrişor AI (2015) Assessment of the green infrastructure of Bucharest using Corine and urban atlas data. Urban Archit Constr 6:19–24
Pirowski T, Pomietlowska J (2017) Distribution of Krakow’s population by dasymetric modeling method using urban atlas and publicy available statistical data. Geom Environ Eng 11:83–95. https://doi.org/10.7494/geom.2017.11.4.83
Prastacos P, Chrysoulakis N, Kochilakis G (2011) Urban Atlas, land use modelling and spatial metric techniques, 51st Congress of the European Regional Science Association: “New Challenges for European Regions and Urban Areas in a Globalised World”, Barcelona, Spain. http://hdl.handle.net/10419/120271. Accessed 22 July 2021
Ramos-Bernal R, Vázquez-Jiménez R, Romero-Calcerrada R, Arrogante-Funes P, Novillo C (2018) Evaluation of unsupervised change detection methods applied to landslide inventory mapping using ASTER imagery. Remote Sensing 10(12):1987. https://doi.org/10.3390/rs10121987
Rogan J, Chen DM (2004) Remote sensing technology for mapping and monitoring land-cover and land-use change. In Progress in Planning 61(4): 301–325. Elsevier Ltd. https://doi.org/10.1016/S0305-9006(03)00066-7
Rosina K, Silva FBE, Vizcaino P, Marín Herrera M, Freire S, Schiavina M (2020) Increasing the detail of European land use/cover data by combining heterogeneous data sets. Int J Digit Earth 13(5):602–626. https://doi.org/10.1080/17538947.2018.1550119
Rouse JW, Haas RH, Schell JA, Deering DW (1974) Monitoring vegetation systems in the Great Plains with ERTS. Remote Sensing Center, Texas A&M University, ABD, NASA Special Publication, 351(1974), 309. Third Earth Resouces Technology Satellite-1 Symposium. Washington, DC. 10–14:1973. https://books.google.com.tr/books?hl=tr&lr=&id=e00CAAAAIAAJ&oi=fnd&pg=PA309&dq=Monitor%3Fing+vegetation+systems+in+the+Great+Plains+with+ERTS.+Remote++Sensing+Center,+Texas+a%26m+University,+ABD,+NA&ots=JTPAjTCq3c&. Accessed 22 July 2021
Sahin G, Cabuk SN, Cetin M (2021) The change detection in coastal settlements using image processing techniques: a case study of Korfez. Environ Sci Pollut Res, 1–16. Environ Sci Pollut Res (2021). https://doi.org/10.1007/s11356-021-16660-x
Tajbakhsh A, Karimi A, Zhang A (2020) Modeling land cover change dynamic using a hybrid model approach in Qeshm Island. Southern Iran Environ Monit Asses 192(5):1–17. https://doi.org/10.1007/s10661-020-08270-w
Verburg PH, van Eck JR, de Nijs TC, Dijst MJ, Schot P (2004) Determinants of land-use change patterns in the Netherlands. Environ Plann B Plann Des 31:125–150. https://doi.org/10.1068/b307
Wondrade N, Dick ØB, Tveite H (2014) GIS based mapping of land cover changes utilizing multi-temporal remotely sensed image data in Lake Hawassa Watershed, Ethiopia. Environ Monit Assess 186(3):1765–1780. https://doi.org/10.1007/s10661-013-3491-x
Yildiz S, Doker MF (2016) Monitoring urban growth by using segmentation-classification of multispectral Landsat images in Izmit, Turkey. Environ Monit Assess 188(7):1–7. https://doi.org/10.1007/s10661-016-5392-2
Yuan D, Elvidge C (1998) NALC Land cover change detection pilot study: Washington D.C area experiments. Remote Sens Environ 66(2): 166–178. https://doi.org/10.1016/S0034-4257(98)00068-6
Zeren Cetin I, Ozel HB, Varol T (2020) Integrating of settlement area in urban and forest area of Bartin with climatic condition decision for managements. Air Quality, Atmosphere & Health, 13(8), 1013–1022. Air Qual Atmos Health 13: 1013–1022 (2020). https://doi.org/10.1007/s11869-020-00871-1
Acknowledgements
This study was prepared in cooperation between Başarsoft A.Ş. and Eskişehir Technical University within the scope of 119c200 TUBITAK 2244 Project. Thanks to Başarsoft A.Ş. and Eskişehir Technical University and TUBITAK for collaboration for these research. We appreciate Başarsoft’s efforts for providing data and performing service area calculations which were used for the determination of buffer zones around campuses.
Funding
Authors thank TUBITAK (The Scientific and Technological Research Council of Turkey) for facilitating the collaboration with Başarsoft A.Ş. within the framework of 2244 project.
Author information
Authors and Affiliations
Contributions
MC, TA, SNC, MASK, AC, and AD designed the study and performed the experiments; TA, AD, AEC, BA, and MC performed the experiments, analyzed the data, and wrote the manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable
Consent for publication
Not applicable
Conflict of interest
The authors declare no competing interests.
Additional information
Responsible Editor: Philippe Garrigues
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Aksoy, T., Dabanli, A., Cetin, M. et al. Evaluation of comparing urban area land use change with Urban Atlas and CORINE data. Environ Sci Pollut Res 29, 28995–29015 (2022). https://doi.org/10.1007/s11356-021-17766-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-021-17766-y