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.
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Allen, A. (2003). Environmental planning and management of the peri-urban interface: perspectives on an emerging field. Environment and Urbanization, 15(1), 135–148.
Baatz, M., & Schäpe, A. (2000). Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. Angewandte Geographische Informationsverarbeitung XII, 58, 12–23.
Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., & Portugali, Y. (2012). Smart cities of the future. The European Physical Journal Special Topics, 214(1), 481–518.
Berry, K. J., Johnston, J. E., & Mielke, P. W., Jr. (2014). A chronicle of permutation statistical methods. New York: Springer.
Campbell, J. B., & Wynne, R. H. (2011). Introduction to remote sensing. New York: Guilford Press.
Chen, Z., Li, S., Ren, J., Gong, P., Zhang, M., Wang, L., & Jiang, D. (2008). Monitoring and management of agriculture with remote sensing. In Advances in land remote sensing (pp. 397–421). Springer:Netherlands.
Cumming, G. S., Cumming, D. H., & Redman, C. L. (2006). Scale mismatches in social-ecological systems: causes, consequences, and solutions. Ecology and Society, 11(1), 14.
Curebal, I., Efe, R., Soykan, A., & Sonmez, S. (2014). Population and settlement features of Balikesir between 1940 and 2010 (Urban and urbanization, p. 48–56, St). Sofia: Kliment Ohridski University Press.
Di Gregorio, A., & Jansen, L. J. (1998). Land cover classification system (LCCS): classification concepts and user manual. Rome: FAO.
Eastman, J. R. (2012). IDRISI selva manual. Worcester: Clark University.
European Environment Agency (2015). CORINE Land Cover. http://www.eea.europa.eu/publications/COR0-landcover Accessed in 19 Oct 2015.
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., & Helkowski, J. H. (2005). Global consequences of land use. Science, 309(5734), 570–574.
Foody, G. M. (2002). Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1), 185–201.
Ikiel, C., Tutucu, A. A., Ustaoglu, B., & Kilic, D. E. (2012). Land use and land cover (LULC) classification using Spot-5 image in the Adapazari Plain and its surroundings, Turkey. The Online Journal of Science and Technology, 2(2).
Kara, F., & Karatepe, A. (2012). Land use change analysis of Beykoz district (1986–2011) with remote sensing technologies. Journal of Marmara Geography, 25, 378–389.
Keles, R. (1980). The dictionary of urban science. Ankara: Turkish Language Association Publications.
Kizilelma, Y., Karabulut, M., Gurbuz, M., Topuz, M., & Ceylan, E. (2013). An analysis of temporal changes of Nigde City and surrounding areas using remote sensing and GIS. Zeitschrift für die Welt der Türken/Journal of World of Turks, 5(3), 21–34.
Kurucu, Y., & Kucukyilmaz Chiristina, N. (2008). Monitoring the impacts of urbanization and industrialization on the agricultural land and environment of the Torbali, Izmir Region, Turkey. Environmental Monitoring and Assessment, 136, 289–297.
Lewis-Gonzales, S. L. (2015). Accuracy of supervised classification of cropland in sub–Saharan Africa. Master’s Thesis, University of Tennessee
Maktav, D., & Erbek, F. S. (2005). Analysis of urban growth using multi‐temporal satellite data in Istanbul, Turkey. International Journal of Remote Sensing, 26(4), 797–810.
Nations, U. (2014). World urbanization prospects: the 2014 revision. New York: United Nations Publications.
Ozyavuz, M. (2011). Examination of temporal changes of Tekirdag city center with remote sensing. JOTAF/Journal of Tekirdag Agriculture Faculty, 8(1), 65–73.
Rejaur Rahman, M., & Saha, S. K. (2008). Multi-resolution segmentation for object-based classification and accuracy assessment of land use/land cover classification using remotely sensed data. Journal of the Indian Society of Remote Sensing, 36(2), 189–201.
Seto, K. C., Reenberg, A., Boone, C. G., Fragkias, M., Haase, D., Langanke, T., & Simon, D. (2012). Urban land teleconnections and sustainability. Proceedings of the National Academy of Sciences, 109(20), 7687–7692.
Shalaby, A., & Tateishi, R. (2007). Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography, 27(1), 28–41.
Sliuzas, R., Kuffer, M., & Masser, I. (2010). The spatial and temporal nature of urban objects. Remote sensing of urban and suburban areas (pp. 67–84). Springer:Netherlands.
Tacoral, E., Atik, A., Yilmaz, B., Aslan, F., & Altunkasa, M. F. (2015). A sustainability assessment of quality of life in a traditional settlement pattern: The case of Kemaliye, Turkey. Indoor and Built Environment, 1420326X15620258.
Tan, M., Guy, M. R., & Li, X. (2011). Urban spatial development and land use in Beijing: implications from London’s experiences. Journal of Geographical Sciences, 21(1), 49–64.
Tang, J., Wang, L., & Yao, Z. (2006). Analyzing urban sprawl spatial fragmentation using multi-temporal satellite images. GIScience and Remote Sensing, 43(3), 218–232.
Torbick, N., & Corbiere, M. (2015). Mapping urban sprawl and impervious surfaces in the northeast United States for the past four decades. GIScience and Remote Sensing, 52(6), 746–764.
USGS, (2015a). Landsat Missions. http://landsat.usgs.gov Accessed in 13 Jan 2015.
USGS, (2015b). United States geological survey earth resources observation systems. http://glovis.usgs.gov/ Accessed in 24 Aug 2015.
Wessels, K. J., De Fries, R. S., Dempewolf, J., Anderson, L. O., Hansen, A. J., Powell, S. L., & Moran, E. F. (2004). Mapping regional land cover with MODIS data for biological conservation: examples from the Greater Yellowstone Ecosystem, USA and Para State, Brazil. Remote Sensing of Environment, 92(1), 67–83.
Wu, Y., Li, S., & Yu, S. (2016). Monitoring urban expansion and its effects on land use and land cover changes in Guangzhou City, China. Environmental Monitoring and Assessment, 188(1), 1–15.
Xian, G., & Crane, M. (2005). Assessments of urban growth in the Tampa Bay watershed using remote sensing data. Remote Sensing of Environment, 97(2), 203–215.
Xiao, J., Shen, Y., Ge, J., Tateishi, R., Tang, C., Liang, Y., & Huang, Z. (2006). Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing. Landscape and Urban Planning, 75(1), 69–80.
Yoon, G. W., Cho, S. I., Jeong, S., & Park, J. H. (2003). Object oriented classification using Landsat images. Forest, 47(5.89), 37–50.
Yuan, F., Sawaya, K. E., Loeffelholz, B. C., & Bauer, M. E. (2005). Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan area by multitemporal Landsat remote sensing. Remote Sensing of Environment, 98(2), 317–328.
Acknowledgments
We thank Dr. Fatih Sunbul for comments on preliminary draft and for discussions. Critical reviews by the Associate Editor, Dr. Kutz, and an anonymous reviewer helped to improve the manuscript. We also thank Kenneth Starrs for insightful and constructive comments.
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Yildiz, S., Doker, M.F. Monitoring urban growth by using segmentation-classification of multispectral Landsat images in Izmit, Turkey. Environ Monit Assess 188, 393 (2016). https://doi.org/10.1007/s10661-016-5392-2
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DOI: https://doi.org/10.1007/s10661-016-5392-2