Irregular urbanization causes problems such as decrease in fertile agricultural areas, irregular industrialization and urbanization. To provide a healthier life opportunity for future generations without disturbing nature, it is essential to determine the temporal changes in land use and to make land management plans accordingly. In this study, land use/land cover (LULC) change occurred in Kahramanmaras province within 30 years was investigated by remote sensing and integration of Geographic Information Systems. Landsat satellite images of 1988-1998-2008-2018 were obtained for the production of LULC maps. Each image was classified according to supervised classification approach using the support vector machines (SVMs) algorithms. The confusion matrix was created for each year to examine the accuracy of the LULC maps. The overall accuracy of the thematic maps was obtained as 91.76%, 93.56%, 86.89% and 88.29%, respectively. Also, Kappa values of thematic maps for each year were obtained as 0.88, 0.91, 0.81 and 0.84, respectively. When the results were examined, the development of industry in the city area and the construction of the airport contributed to the development of the social and economic structure of the city. The increase in the number of housing in the related regions has led to an increase in the amount of urban areas and a decrease in agricultural areas.
This article has been selected from the papers presented at the TUFUAB-2019 (10. Turkey National Photogrammetry and Remote Sensing Technical Symposium)
References
Başel H (2007). The causes of population mobility and internal migratıon in Turkey. Journal of Social Policy Conferences, 0 (53), 515-542 (in Turkish).
Cohen J (1960). A coefficient of agreement for nominal scales. Educational and psychological measurement, 20(1), 37-46. DOI: 10.1177/001316446002000104
Çölkesen İ (2009). Comparing and analyzing of advanced classifier techniques in remote sensing. MS Thesis, Gebze İleri Teknoloji Enstitüsü, Turkey (in Turkish).
Congalton R G & Green K (1999). Assessing the accuracy of remotely sensed data: Principles and practices. CRC Press.
Demirci D A (2007). Character recognition by support vector machines. MS Thesis, Yıldız Teknik University, İstanbul, Turkey (in Turkish).
Demirkan D Ç (2017). Hierarchical land use and land cover classification of Sentinel2-A images and its use for corine system. MS Thesis, Middle East Technical University, Ankara, Turkey.
Denizdurduran M (2012). Remote sensing methods of land use and land cover characteristics of the province Kahramanmaraş. MS Thesis, Kahramanmaraş Sütçü İmam Üniversity, Kahramanmaraş, Turkey (in Turkish).
Ekercin S (2007). Multitemporal change detection on the Salt lake and surroundings by integrating remote sensing and geographic information systems. PhD Thesis, İstanbul Technical University, İstanbul, Turkey
Eray O (2008). Speech recognition application with support vector machines. MS Thesis, Pamukkale University, Denizli, Turkey (in Turkish).
Ercan O (2020). Essentials of a sustainable land use planning approach for rural areas and a model proposal to be applied under Turkish Conditions. Turkish Journal of Engineering, 4 (3), 154-163. DOI: 10.31127/tuje.650238
Esetlili M T, Balcik F B, Sanli F B, Ustuner M, Kalkan K, Goksel C, Gazioğlu C & Kurucu Y (2018). Comparison of object and pixel-based classifications for mapping crops using Rapideye Imagery: A case study of Menemen Plain, Turkey. International Journal of Environment and Geoinformatics, 5 (2), 231-243. DOI: 10.30897/ijegeo
Geography of Kahramanmaraş, URL1: https://kahramanmaras.bel.tr/kesfedin/kahramanmarasin-cografyasi (Accessed Date: 29 April 2020).
Göksel Ç, David R M, Dogru A Ö. (2018). Environmental monitoring of spatio-temporal changes in Northern Istanbul using remote sensing and GIS. International Journal of Environment and Geoinformatics, 5(1), 94-103. DOI: 10.30897/ijegeo.410943
Göksel C, Doğru A Ö (2019). Analyzing the urbanization in the protection area of the Bosphorus. International Journal of Engineering and Geosciences, 4 (2), 52-57. DOI: 10.26833/ijeg.446912
Hegazy I R & Kaloop M R (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117-124. DOI: 10.1016/j.ijsbe.2015.02.005
İderman E (2006). Investigation of the ancient and present land use of Salamis ancient city and it's environment by using remote sensing and geographic information systems. MS Thesis, Çukurova Üniversity, Adana, Turkey (in Turkish).
Işık Ş (2005). Urbanisation and Urbanisation Models in Turkey. Aegean Geographical Journal, 14 (1-2), 57-71 (in Turkish).
Jenness J & Wynne J J (2005). Cohen's Kappa and classification table metrics 2.0: An ArcView 3.x extension for accuracy assessment of spatially explicit models. Open-File Report OF 2005-1363. Flagstaff, AZ: US Geological Survey, Southwest Biological Science Center. 86 p.
Jimoh R, Afonja Y, Albert C & Amoo N (2018). Spatio-temporal urban expansion analysis in a growing city of Oyo Town, Oyo State, Nigeria using remote sensing and geographic information system (GIS) tools. International Journal of Environment and Geoinformatics, 5(2), 104-113. DOI: 10.30897/ijegeo.354627
Karakuş P, Karabork H, Kaya S (2017). A comparison of the classification accuracies in determining the land cover of Kadirli Region of Turkey by using the pixel based and object based classification algorithms. International Journal of Engineering and Geosciences, 2 (2), 52-60. DOI: 10.26833/ijeg.298951
Kavzoglu T & Colkesen I (2009). A kernel functions analysis for support vector machines for land cover classification. International Journal of Applied Earth Observation and Geoinformation, 11(5), 352-359. DOI: 10.1016/j.jag.2009.06.002
Kavzoğlu T & Çölkesen İ (2010). Investigation of the effects of Kernel functions in satellite image classification using support vector machines. Harita Dergisi, 144(7), 73-82 (in Turkish).
Kumar P, Gupta D K, Mishra V N & Prasad R (2015). Comparison of support vector machine, artificial neural network, and spectral angle mapper algorithms for crop classification using LISS IV data. International Journal of Remote Sensing, 36(6), 1604-1617. DOI: 10.1080/2150704X.2015.1019015
Leichtle T, Geiß C, Wurm M, Lakes T & Taubenböck H (2017). Unsupervised change detection in VHR remote sensing imagery–an object-based clustering approach in a dynamic urban environment. International Journal of Applied Earth Observation and Geoinformation, 54, 15-27. DOI: 10.1016/j.jag.2016.08.010
Mondal A, Kundu S, Chandniha S K, Shukla R & Mishra P K (2012). Comparison of support vector machine and maximum likelihood classification technique using satellite imagery. International Journal of Remote Sensing and GIS, 1(2), 116-123.
Noi P T & Kappas M (2018). Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery. Sensors, 18. DOI: 10.3390/s18010018
Orhan O, Dadaser-Celik F, Ekercin S (2019). Investigating land surface temperature changes using Landsat-5 data and real-time infrared thermometer measurements at Konya Closed Basin in Turkey. International Journal of Engineering and Geosciences, 4(1), 16-27. DOI: 10.26833/ijeg.417151
Oruç M, Marangoz A M & Karakış S (2007). Comparıson of pixel-based and object-oriented classification approaches using pan-sharpened landsat 7 etm+ image, 11. Türkiye Harita Bilimsel ve Teknik Kurultayı (in Turkish).
Otukei J R & Blaschke T (2010). Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. International Journal of Applied Earth Observation and Geoinformation, 12, S27-S31. DOI: 10.1016/j.jag.2009.11.002
Sandal E K & Karademir N (2013). Determination of people's expectations and consciousness with adequacy of green spaces in Kahramanmaraş. Eastern Geographical Review, 18(29), 155-176 (in Turkish).
Tok E (2006). Monitoring the urbanization through V-I-S model using remote sensing data. İstanbul Technical University, İstanbul, Turkey (in Turkish).
TUIK URL2: http://tuik.gov.tr/UstMenu.do?metod=temelist (Accessed Date: 29 April 2020).
Üstüner M, Şanli F B, Abdikan S, Esetlili M T & Kurucu Y (2013). Investigation the impact of rededge and NIR bands on crop type classıfıcatıon: A case study of RAPIDEYE. Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği VII. Teknik Sempozyumu (TUFUAB’2013), Trabzon, Turkey (in Turkish).
Vapnik V N (1995). The Nature of Statistical Learning Theory. Springer-Verlag, New York.
Yang C, Everitt J H & Murden D (2011). Evaluating high resolution SPOT 5 satellite imagery for crop identification. Computers and Electronics in Agriculture, 75(2), 347-354. DOI: 10.1016/j.compag.2010.12.012
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(2-3), 317-328. DOI: 10.1016/j.rse.2005.08.006
Year 2021,
Volume: 5 Issue: 3, 134 - 140, 01.07.2021
Başel H (2007). The causes of population mobility and internal migratıon in Turkey. Journal of Social Policy Conferences, 0 (53), 515-542 (in Turkish).
Cohen J (1960). A coefficient of agreement for nominal scales. Educational and psychological measurement, 20(1), 37-46. DOI: 10.1177/001316446002000104
Çölkesen İ (2009). Comparing and analyzing of advanced classifier techniques in remote sensing. MS Thesis, Gebze İleri Teknoloji Enstitüsü, Turkey (in Turkish).
Congalton R G & Green K (1999). Assessing the accuracy of remotely sensed data: Principles and practices. CRC Press.
Demirci D A (2007). Character recognition by support vector machines. MS Thesis, Yıldız Teknik University, İstanbul, Turkey (in Turkish).
Demirkan D Ç (2017). Hierarchical land use and land cover classification of Sentinel2-A images and its use for corine system. MS Thesis, Middle East Technical University, Ankara, Turkey.
Denizdurduran M (2012). Remote sensing methods of land use and land cover characteristics of the province Kahramanmaraş. MS Thesis, Kahramanmaraş Sütçü İmam Üniversity, Kahramanmaraş, Turkey (in Turkish).
Ekercin S (2007). Multitemporal change detection on the Salt lake and surroundings by integrating remote sensing and geographic information systems. PhD Thesis, İstanbul Technical University, İstanbul, Turkey
Eray O (2008). Speech recognition application with support vector machines. MS Thesis, Pamukkale University, Denizli, Turkey (in Turkish).
Ercan O (2020). Essentials of a sustainable land use planning approach for rural areas and a model proposal to be applied under Turkish Conditions. Turkish Journal of Engineering, 4 (3), 154-163. DOI: 10.31127/tuje.650238
Esetlili M T, Balcik F B, Sanli F B, Ustuner M, Kalkan K, Goksel C, Gazioğlu C & Kurucu Y (2018). Comparison of object and pixel-based classifications for mapping crops using Rapideye Imagery: A case study of Menemen Plain, Turkey. International Journal of Environment and Geoinformatics, 5 (2), 231-243. DOI: 10.30897/ijegeo
Geography of Kahramanmaraş, URL1: https://kahramanmaras.bel.tr/kesfedin/kahramanmarasin-cografyasi (Accessed Date: 29 April 2020).
Göksel Ç, David R M, Dogru A Ö. (2018). Environmental monitoring of spatio-temporal changes in Northern Istanbul using remote sensing and GIS. International Journal of Environment and Geoinformatics, 5(1), 94-103. DOI: 10.30897/ijegeo.410943
Göksel C, Doğru A Ö (2019). Analyzing the urbanization in the protection area of the Bosphorus. International Journal of Engineering and Geosciences, 4 (2), 52-57. DOI: 10.26833/ijeg.446912
Hegazy I R & Kaloop M R (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117-124. DOI: 10.1016/j.ijsbe.2015.02.005
İderman E (2006). Investigation of the ancient and present land use of Salamis ancient city and it's environment by using remote sensing and geographic information systems. MS Thesis, Çukurova Üniversity, Adana, Turkey (in Turkish).
Işık Ş (2005). Urbanisation and Urbanisation Models in Turkey. Aegean Geographical Journal, 14 (1-2), 57-71 (in Turkish).
Jenness J & Wynne J J (2005). Cohen's Kappa and classification table metrics 2.0: An ArcView 3.x extension for accuracy assessment of spatially explicit models. Open-File Report OF 2005-1363. Flagstaff, AZ: US Geological Survey, Southwest Biological Science Center. 86 p.
Jimoh R, Afonja Y, Albert C & Amoo N (2018). Spatio-temporal urban expansion analysis in a growing city of Oyo Town, Oyo State, Nigeria using remote sensing and geographic information system (GIS) tools. International Journal of Environment and Geoinformatics, 5(2), 104-113. DOI: 10.30897/ijegeo.354627
Karakuş P, Karabork H, Kaya S (2017). A comparison of the classification accuracies in determining the land cover of Kadirli Region of Turkey by using the pixel based and object based classification algorithms. International Journal of Engineering and Geosciences, 2 (2), 52-60. DOI: 10.26833/ijeg.298951
Kavzoglu T & Colkesen I (2009). A kernel functions analysis for support vector machines for land cover classification. International Journal of Applied Earth Observation and Geoinformation, 11(5), 352-359. DOI: 10.1016/j.jag.2009.06.002
Kavzoğlu T & Çölkesen İ (2010). Investigation of the effects of Kernel functions in satellite image classification using support vector machines. Harita Dergisi, 144(7), 73-82 (in Turkish).
Kumar P, Gupta D K, Mishra V N & Prasad R (2015). Comparison of support vector machine, artificial neural network, and spectral angle mapper algorithms for crop classification using LISS IV data. International Journal of Remote Sensing, 36(6), 1604-1617. DOI: 10.1080/2150704X.2015.1019015
Leichtle T, Geiß C, Wurm M, Lakes T & Taubenböck H (2017). Unsupervised change detection in VHR remote sensing imagery–an object-based clustering approach in a dynamic urban environment. International Journal of Applied Earth Observation and Geoinformation, 54, 15-27. DOI: 10.1016/j.jag.2016.08.010
Mondal A, Kundu S, Chandniha S K, Shukla R & Mishra P K (2012). Comparison of support vector machine and maximum likelihood classification technique using satellite imagery. International Journal of Remote Sensing and GIS, 1(2), 116-123.
Noi P T & Kappas M (2018). Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery. Sensors, 18. DOI: 10.3390/s18010018
Orhan O, Dadaser-Celik F, Ekercin S (2019). Investigating land surface temperature changes using Landsat-5 data and real-time infrared thermometer measurements at Konya Closed Basin in Turkey. International Journal of Engineering and Geosciences, 4(1), 16-27. DOI: 10.26833/ijeg.417151
Oruç M, Marangoz A M & Karakış S (2007). Comparıson of pixel-based and object-oriented classification approaches using pan-sharpened landsat 7 etm+ image, 11. Türkiye Harita Bilimsel ve Teknik Kurultayı (in Turkish).
Otukei J R & Blaschke T (2010). Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. International Journal of Applied Earth Observation and Geoinformation, 12, S27-S31. DOI: 10.1016/j.jag.2009.11.002
Sandal E K & Karademir N (2013). Determination of people's expectations and consciousness with adequacy of green spaces in Kahramanmaraş. Eastern Geographical Review, 18(29), 155-176 (in Turkish).
Tok E (2006). Monitoring the urbanization through V-I-S model using remote sensing data. İstanbul Technical University, İstanbul, Turkey (in Turkish).
TUIK URL2: http://tuik.gov.tr/UstMenu.do?metod=temelist (Accessed Date: 29 April 2020).
Üstüner M, Şanli F B, Abdikan S, Esetlili M T & Kurucu Y (2013). Investigation the impact of rededge and NIR bands on crop type classıfıcatıon: A case study of RAPIDEYE. Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği VII. Teknik Sempozyumu (TUFUAB’2013), Trabzon, Turkey (in Turkish).
Vapnik V N (1995). The Nature of Statistical Learning Theory. Springer-Verlag, New York.
Yang C, Everitt J H & Murden D (2011). Evaluating high resolution SPOT 5 satellite imagery for crop identification. Computers and Electronics in Agriculture, 75(2), 347-354. DOI: 10.1016/j.compag.2010.12.012
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(2-3), 317-328. DOI: 10.1016/j.rse.2005.08.006
Aliyazıcıoğlu, K., Beker, F., Topaloğlu, R. H., Bilgilioğlu, B. B., et al. (2021). Temporal monitoring of land use/land cover change in Kahramanmaraş city. Turkish Journal of Engineering, 5(3), 134-140. https://doi.org/10.31127/tuje.707156
AMA
Aliyazıcıoğlu K, Beker F, Topaloğlu RH, Bilgilioğlu BB, Çömert R. Temporal monitoring of land use/land cover change in Kahramanmaraş city. TUJE. July 2021;5(3):134-140. doi:10.31127/tuje.707156
Chicago
Aliyazıcıoğlu, Kübra, Fatmanur Beker, R. Hale Topaloğlu, B. Baha Bilgilioğlu, and Resul Çömert. “Temporal Monitoring of Land use/Land Cover Change in Kahramanmaraş City”. Turkish Journal of Engineering 5, no. 3 (July 2021): 134-40. https://doi.org/10.31127/tuje.707156.
EndNote
Aliyazıcıoğlu K, Beker F, Topaloğlu RH, Bilgilioğlu BB, Çömert R (July 1, 2021) Temporal monitoring of land use/land cover change in Kahramanmaraş city. Turkish Journal of Engineering 5 3 134–140.
IEEE
K. Aliyazıcıoğlu, F. Beker, R. H. Topaloğlu, B. B. Bilgilioğlu, and R. Çömert, “Temporal monitoring of land use/land cover change in Kahramanmaraş city”, TUJE, vol. 5, no. 3, pp. 134–140, 2021, doi: 10.31127/tuje.707156.
ISNAD
Aliyazıcıoğlu, Kübra et al. “Temporal Monitoring of Land use/Land Cover Change in Kahramanmaraş City”. Turkish Journal of Engineering 5/3 (July 2021), 134-140. https://doi.org/10.31127/tuje.707156.
JAMA
Aliyazıcıoğlu K, Beker F, Topaloğlu RH, Bilgilioğlu BB, Çömert R. Temporal monitoring of land use/land cover change in Kahramanmaraş city. TUJE. 2021;5:134–140.
MLA
Aliyazıcıoğlu, Kübra et al. “Temporal Monitoring of Land use/Land Cover Change in Kahramanmaraş City”. Turkish Journal of Engineering, vol. 5, no. 3, 2021, pp. 134-40, doi:10.31127/tuje.707156.
Vancouver
Aliyazıcıoğlu K, Beker F, Topaloğlu RH, Bilgilioğlu BB, Çömert R. Temporal monitoring of land use/land cover change in Kahramanmaraş city. TUJE. 2021;5(3):134-40.