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Coğrafi bilgi teknolojileri kullanılarak Göksu Deltası’nın kıyı değişiminin izlenmesi ve yakın geleceğe dair öngörüler

Year 2023, Issue: 50, 329 - 352, 08.10.2023
https://doi.org/10.32003/igge.1304403

Abstract

Kıyılar, farklı ekosistemlere, habitatlara ve türlere ev sahipliği yapan zengin kompleks bir yapıya sahiptir. Bu özelliği nedeniyle kıyı şeridi, zaman zaman değişimlere maruz kalmaktadır. Uzaktan algılama ve Coğrafi Bilgi Sistemleri (CBS), uzun dönemlerde kıyılar üzerinde artan baskının incelenip yönetilmesinde ve ileriye dönük modellerin oluşturulmasında önemli rol oynamaktadır. Çalışmanın amacı Göksu Deltası kıyılarında 1985-2020 yılları arasında yaşanan değişimleri belirlemektir. Yapılan analizler neticesinde 35 yıllık zaman zarfında Göksu Deltası’nda aşınmanın en fazla olduğu alanların, Altınkum, Göksu Nehri’nin ağızkesimi ve İncekum’un uç kısımları olduğu görülmektedir. Birikmenin ise İncekum burnunun doğu ve batı kıyılarında yoğunlaştığı tespit edilmiştir. DSAS kullanılarak yapılan istatiksel hesaplamalar sonucunda 2030 ve 2040 yıllarında kıyı çizgisinin muhtemel pozisyonu belirlenmiştir.

References

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  • Bheeroo, R. A., Chandrasekar, N., Kaliraj, S., & Magesh, N. S. (2016). Shoreline change rate and erosion risk assessment along the trou aux biches–mont choisy beach on the northwest coast of mauritius using gıs- dsas technique. Environmental Earth Sciences, 75(5), 1-12. http://dx.doi.org/10.1007/s12665-016-5311-4
  • Darwish, K., Smith, S.E., Torab, M., Monsef, H., and Hussein, O. (2017). Geomorphological Changes along the Nile Delta Coastline between 1945 and 2015 Detected Using Satellite Remote Sensing and GIS. J. Coast. Res, 33(4): 786–794. http://dx.doi.org/10.2112/JCOASTRES-D-16-00056.1
  • Deepika, B., Avinash, K., & Jayappa, K. S. (2014). Shoreline change rate estimation and its forecast: remote sensing, geographical information system and statistics-based approach. International Journal of Environmental Science and Technology, 11(2), 395-416. http://dx.doi.org/10.1007/s13762-013-0196-1
  • Fossi Fotsi, Y., Pouvreau, N., Brenon, I., Onguene, R., & Etame, J. (2019). Temporal (1948–2012) and dynamic evolution of the Wouri estuary coastline within the gulf of Guinea. Journal of Marine Science and Engineering, 7(10), 343. http://dx.doi.org/10.3390/jmse7100343
  • Ghorai, D., Mahapatra, M., & Paul, A. K. (2016). Application of remote sensing and GIS techniques for decadal change detection of mangroves along Tamil Nadu Coast, India. Journal of Remote Sensing & GIS, 7(1), 42-53.
  • Gürbüz, O., (1994). Göksu Deltası'nın doğu kıyısında kıyı çizgisinin gerilemesi ve sonuçları, Türk Coğrafya Dergisi, 29, s: 409-417.
  • Himmelstoss, E. A., Henderson, R. E., Kratzmann, M. G., & Farris, A. S. (2018). Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide (No. 2018-1179). US Geological Survey.
  • Isha, I. B., & Adib, M. R. M. (2020). Application of geospatial ınformation system (gıs) using digital shoreline analysis system (dsas) in determining shoreline changes. In IOP Conference Series: Earth and Environmental Science (Vol. 616, No. 1, p. 012029). IOP Publishing. http://dx.doi.org/10.1088/1755-1315/616/1/012029
  • Jayanthi, M., Thirumurthy, S., Samynathan, M., Duraisamy, M., Muralidhar, M., Ashokkumar, J., & Vijayan, K. K. (2018). Shoreline change and potential sea level rise impacts in a climate hazardous location in southeast coast of India. Environmental monitoring and assessment, 190(1), 1-14. http://dx.doi.org/10.1007/s10661-017- 6426-0.
  • Kale. M. Ataol. M. Tekkanat 2019, Assessment of shoreline alterations using a digital shoreline analysis system: a case study of changesin the yeşilırmak delta in northern turkey from 1953 to 2017. Environ Monit Assess (2019) 191:398 https://doi.org/10.1007/s10661-019-7535-8.
  • Karabulut, M. (2015). Farklı Uzaktan Algılama teknikleri kullanılarak göksu deltası göllerinde zamansal değişimlerin incelenmesi. Journal of International Social Research, 8(37).
  • Karabulut, M., & Küçükönder, M. (2018). An examination of temporal changes in Göksu Delta (Turkey) using principle component analysis. International Journal Of Geography And Geography Education, 39, 279-299. http://dx.doi.org/10.2139/ssrn.3457108
  • Karabulut, M., Gürbüz, M., Kızılelma, Y., Ceylan, E., & Topuz, M.(2012). Göksu Deltası’nda amaç dışı arazi kullanımının CBS ve Uzaktan Algılama teknikleriyle belirlenmesi. Ulusal Jeomorfoloji Sempozyumu, 759-768.
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  • Karakoç, A., & Karabulut, M. (2010). Göksu Deltası kıyı çizgisinde meydana gelen değişimlerin CBS ve Uzaktan Algılama teknikleri ile incelenmesi. National Geomorphology Symposium, 195-205.
  • Keçer, M. (2001). Göksu Deltası’nın (Mersin) jeomorfolojik evrimi ve güncel akarsu-deniz-rüzgar süreçlerinin kıyı çizgisinde yaptığı değişiklikler. MTA Report, (10468).
  • Keçer, M., & Duman, T. Y. (2007). Yapay etkinliklerin Göksu Deltası gelişimine etkisi, Mersin-Türkiye. Journal of Mineral Research and Exploration, (134), 17-26.
  • Kermani, S., Boutiba, M., Guendouz, M., Guettouche, M. S., & Khelfani, D. (2016). Detection and analysis of shoreline changes using geospatial tools and automatic computation: Case of jijelian sandy coast (East Algeria). Ocean & coastal management, 132, 46-58. http://dx.doi.org/10.1016/j.ocecoaman.2016.08.010
  • Kılar, H., & Çiçek, İ. (2018). Göksu Deltası kıyı çizgisi değişiminin DSAS aracı ile belirlenmesi. Coğrafi Bilimler Dergisi, 16(1), 89-104.
  • Kılar, H. & Çiçek, İ. (2019). Kıyı çizgisinin gelecekteki konumunun belirlenmesinin önemi: Göksu Deltası Örneği, Mersin (Türkiye) . Coğrafi Bilimler Dergisi, 17 (1) , 193-216 . http://dx.doi.org/10.33688/aucbd.559328.
  • Kızılelma, Y., & Karabulut, M. (2017). Uzaktan algılama teknikleriyle Göksu Deltası göllerinin bulanıklığının izlenmesi. Journal of International Social Research, 10(50).
  • Kuleli, T. (2010). Quantitative analysis of shoreline changes at the Mediterranean Coast in Turkey. Environmental monitoring and assessment, 167(1), 387-397. http://dx.doi.org/10.1007/s10661-009-1057-8
  • Lazuardi, Z., Karim, A., & Sugianto, S. (2022). Analisis Perubahan Garis Pantai Menggunakan Digital Shoreline Analysis System (DSAS) di Pesisir Timur Kota Sabang. Jurnal Ilmiah Mahasiswa Pertanian, 7(1). http://dx.doi.org/10.17969/jimfp.v7i1.18872
  • Liu, H., & Jezek, K. C. (2004). Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods. International journal of remote sensing, 25(5), 937-958. http://dx.doi.org/10.1080/0143116031000139890
  • Maiti, S., & Bhattacharya, A. K. (2009). Shoreline Change Analysis And İts Application To Prediction: A remote sensing and statistics based approach. Marine Geology, 257(1-4), 11-23. http://dx.doi.org/10.1016/j.margeo.2008.10.006
  • Masselink, G., & Russell, P. (2013). Impacts of climate change on coastal erosion. MCCIP Science Review, 2013, 71-86.
  • Nassar, K., Mahmod, W. E., Fath, H., Masria, A., Nadaoka, K., & Negm, A. (2019). Shoreline change detection using DSAS technique: Case of North Sinai Coast, Egypt. Marine Georesources & Geotechnology, 37(1), 81-95. http://dx.doi.org/10.1080/1064119X.2018.1448912
  • Natesan, U., Parthasarathy, A., Vishnunath, R., Kumar, G.E.J., Ferrer, V.A., (2015). Monitoring longterm shoreline changes along Tamil Nadu, India using geospatial techniques. Aquat. Procedia 4, 325e332. http://dx.doi.org/10.1016/j.aqpro.2015.02.044
  • Oyedotun, T. D. (2014). Shoreline geometry: DSAS as a tool for historical trend analysis. Geomorphological Techniques, 3(2.2), 1-12.
  • Özpolat, E., & Demir, T. (2014). Coğrafi bilgi sistemleri ve uzaktan algılama yöntemleriyle kıyı çizgisi değişimi belirleme : Seyhan Deltası. XVI. Academic Informatics, Mersin University, Mersin.
  • Pratomo, D. G., & Pramudya, F. A. (2021). Evaluation of shoreline change using multitemporal satellite images. In IOP Conference Series: Earth and Environmental Science (Vol. 731, No. 1, p. 012006). IOP Publishing.
  • Prieto, J. Á. M., Munar, F. X. R., Perea, A. R., Gual, M. M., & Ferrer, B. G. (2018). Análisis de la evolución histórica de la línea de costa de la playa de Es Trenc (S. de Mallorca): causas y consecuencias. GeoFocus. Revista Internacional de Ciencia y Tecnología de la Información Geográfica, (21), 187-214.
  • Quang, D. N., Ngan, V. H., Tam, H. S., Viet, N. T., Tinh, N. X., & Tanaka, H. (2021). Long-term shoreline evolution using DSAS technique: A Case Study of Quang Nam Province, Vietnam. Journal of Marine Science and Engineering, 9(10), 1124. http://dx.doi.org/10.3390/jmse9101124
  • Sahin, G., Cabuk, S. N., & Cetin, M. (2022). CBS ve UA destekli kıyı alanını oluşturmak: Körfez ilçesi örneği. Environmental Science and Pollution Research, 29(10), 15172-15187.
  • Sheik, M. (2011). A shoreline change analysis along the coast between Kanyakumari and Tuticorin, India, using digital shoreline analysis system. Geo-spatial information Science, 14(4), 282-293. http://dx.doi.org/10.1007/s11806-011-0551-7
  • Siyal, A. A., Solangi, G. S., Siyal, P., Babar, M. M., & Ansari, K. (2022). Shoreline change assessment of Indus delta using GIS-DSAS and satellite data. Regional Studies in Marine Science, 102405. http://dx.doi.org/10.1016/j.rsma.2022.102405
  • Song, Y., Shen, Y., Xie, R., & Li, J. (2021). A DSAS-based study of central shoreline change in Jiangsu over 45 years. Anthropocene Coasts, 4(1), 115-128. http://dx.doi.org/10.1139/anc-2020-0001
  • Sytnik, O., Del Río, L., Greggio, N., & Bonetti, J. (2018). Historical shoreline trend analysis and drivers of coastal change along the Ravenna coast, NE Adriatic. Environmental Earth Sciences, 77(23), 1-20. http://dx.doi.org/10.1007/s12665-018-7963-8
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Monitoring the shoreline changes of the Göksu Delta (Türkiye) using geographical information technologıes and predictions for the near future

Year 2023, Issue: 50, 329 - 352, 08.10.2023
https://doi.org/10.32003/igge.1304403

Abstract

Coasts have a rich complex structure that hosts different ecosystems, habitats and species. Because of this properties, the coastline is exposed to changes from time to time. Remote sensing and Geographic Information Systems (GIS) play an important role in examining and managing the increasing pressure on the coasts in long periods of time and in creating future models. The aim of the study is to determine the coastal changes experienced on the shores of the Göksu Delta between 1985 and 2020. As a result of the analyses, it was seen that the areas with the highest erosion in the Göksu Delta over a 35-year period are Altınkum, the mouth of the Göksu River and the end parts of İncekum. It has been determined that the accumulation is concentrated on the east and west coasts of Incekum (İnceburun) cape. As a result of statistical calculations using DSAS, the possible position of the coastline in 2030 and 2040 has been determined.

References

  • Berlanga-Robles, C. A., & Ruiz-Luna, A. (2002). Land use mapping and change detection in the coastal zone of northwest Mexico using remote sensing techniques. Journal of Coastal Research, 514-522.
  • Bheeroo, R. A., Chandrasekar, N., Kaliraj, S., & Magesh, N. S. (2016). Shoreline change rate and erosion risk assessment along the trou aux biches–mont choisy beach on the northwest coast of mauritius using gıs- dsas technique. Environmental Earth Sciences, 75(5), 1-12. http://dx.doi.org/10.1007/s12665-016-5311-4
  • Darwish, K., Smith, S.E., Torab, M., Monsef, H., and Hussein, O. (2017). Geomorphological Changes along the Nile Delta Coastline between 1945 and 2015 Detected Using Satellite Remote Sensing and GIS. J. Coast. Res, 33(4): 786–794. http://dx.doi.org/10.2112/JCOASTRES-D-16-00056.1
  • Deepika, B., Avinash, K., & Jayappa, K. S. (2014). Shoreline change rate estimation and its forecast: remote sensing, geographical information system and statistics-based approach. International Journal of Environmental Science and Technology, 11(2), 395-416. http://dx.doi.org/10.1007/s13762-013-0196-1
  • Fossi Fotsi, Y., Pouvreau, N., Brenon, I., Onguene, R., & Etame, J. (2019). Temporal (1948–2012) and dynamic evolution of the Wouri estuary coastline within the gulf of Guinea. Journal of Marine Science and Engineering, 7(10), 343. http://dx.doi.org/10.3390/jmse7100343
  • Ghorai, D., Mahapatra, M., & Paul, A. K. (2016). Application of remote sensing and GIS techniques for decadal change detection of mangroves along Tamil Nadu Coast, India. Journal of Remote Sensing & GIS, 7(1), 42-53.
  • Gürbüz, O., (1994). Göksu Deltası'nın doğu kıyısında kıyı çizgisinin gerilemesi ve sonuçları, Türk Coğrafya Dergisi, 29, s: 409-417.
  • Himmelstoss, E. A., Henderson, R. E., Kratzmann, M. G., & Farris, A. S. (2018). Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide (No. 2018-1179). US Geological Survey.
  • Isha, I. B., & Adib, M. R. M. (2020). Application of geospatial ınformation system (gıs) using digital shoreline analysis system (dsas) in determining shoreline changes. In IOP Conference Series: Earth and Environmental Science (Vol. 616, No. 1, p. 012029). IOP Publishing. http://dx.doi.org/10.1088/1755-1315/616/1/012029
  • Jayanthi, M., Thirumurthy, S., Samynathan, M., Duraisamy, M., Muralidhar, M., Ashokkumar, J., & Vijayan, K. K. (2018). Shoreline change and potential sea level rise impacts in a climate hazardous location in southeast coast of India. Environmental monitoring and assessment, 190(1), 1-14. http://dx.doi.org/10.1007/s10661-017- 6426-0.
  • Kale. M. Ataol. M. Tekkanat 2019, Assessment of shoreline alterations using a digital shoreline analysis system: a case study of changesin the yeşilırmak delta in northern turkey from 1953 to 2017. Environ Monit Assess (2019) 191:398 https://doi.org/10.1007/s10661-019-7535-8.
  • Karabulut, M. (2015). Farklı Uzaktan Algılama teknikleri kullanılarak göksu deltası göllerinde zamansal değişimlerin incelenmesi. Journal of International Social Research, 8(37).
  • Karabulut, M., & Küçükönder, M. (2018). An examination of temporal changes in Göksu Delta (Turkey) using principle component analysis. International Journal Of Geography And Geography Education, 39, 279-299. http://dx.doi.org/10.2139/ssrn.3457108
  • Karabulut, M., Gürbüz, M., Kızılelma, Y., Ceylan, E., & Topuz, M.(2012). Göksu Deltası’nda amaç dışı arazi kullanımının CBS ve Uzaktan Algılama teknikleriyle belirlenmesi. Ulusal Jeomorfoloji Sempozyumu, 759-768.
  • Karakoç, A., (2011). Göksu Deltasında (Silifke-Mersin) meydana gelen değişimlerin uzaktan algılama teknikleri ile incelenmesi. (Published Master's Thesis, Kahramanmaraş Sütçü İmam Üniversitesi).
  • Karakoç, A., & Karabulut, M. (2010). Göksu Deltası kıyı çizgisinde meydana gelen değişimlerin CBS ve Uzaktan Algılama teknikleri ile incelenmesi. National Geomorphology Symposium, 195-205.
  • Keçer, M. (2001). Göksu Deltası’nın (Mersin) jeomorfolojik evrimi ve güncel akarsu-deniz-rüzgar süreçlerinin kıyı çizgisinde yaptığı değişiklikler. MTA Report, (10468).
  • Keçer, M., & Duman, T. Y. (2007). Yapay etkinliklerin Göksu Deltası gelişimine etkisi, Mersin-Türkiye. Journal of Mineral Research and Exploration, (134), 17-26.
  • Kermani, S., Boutiba, M., Guendouz, M., Guettouche, M. S., & Khelfani, D. (2016). Detection and analysis of shoreline changes using geospatial tools and automatic computation: Case of jijelian sandy coast (East Algeria). Ocean & coastal management, 132, 46-58. http://dx.doi.org/10.1016/j.ocecoaman.2016.08.010
  • Kılar, H., & Çiçek, İ. (2018). Göksu Deltası kıyı çizgisi değişiminin DSAS aracı ile belirlenmesi. Coğrafi Bilimler Dergisi, 16(1), 89-104.
  • Kılar, H. & Çiçek, İ. (2019). Kıyı çizgisinin gelecekteki konumunun belirlenmesinin önemi: Göksu Deltası Örneği, Mersin (Türkiye) . Coğrafi Bilimler Dergisi, 17 (1) , 193-216 . http://dx.doi.org/10.33688/aucbd.559328.
  • Kızılelma, Y., & Karabulut, M. (2017). Uzaktan algılama teknikleriyle Göksu Deltası göllerinin bulanıklığının izlenmesi. Journal of International Social Research, 10(50).
  • Kuleli, T. (2010). Quantitative analysis of shoreline changes at the Mediterranean Coast in Turkey. Environmental monitoring and assessment, 167(1), 387-397. http://dx.doi.org/10.1007/s10661-009-1057-8
  • Lazuardi, Z., Karim, A., & Sugianto, S. (2022). Analisis Perubahan Garis Pantai Menggunakan Digital Shoreline Analysis System (DSAS) di Pesisir Timur Kota Sabang. Jurnal Ilmiah Mahasiswa Pertanian, 7(1). http://dx.doi.org/10.17969/jimfp.v7i1.18872
  • Liu, H., & Jezek, K. C. (2004). Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods. International journal of remote sensing, 25(5), 937-958. http://dx.doi.org/10.1080/0143116031000139890
  • Maiti, S., & Bhattacharya, A. K. (2009). Shoreline Change Analysis And İts Application To Prediction: A remote sensing and statistics based approach. Marine Geology, 257(1-4), 11-23. http://dx.doi.org/10.1016/j.margeo.2008.10.006
  • Masselink, G., & Russell, P. (2013). Impacts of climate change on coastal erosion. MCCIP Science Review, 2013, 71-86.
  • Nassar, K., Mahmod, W. E., Fath, H., Masria, A., Nadaoka, K., & Negm, A. (2019). Shoreline change detection using DSAS technique: Case of North Sinai Coast, Egypt. Marine Georesources & Geotechnology, 37(1), 81-95. http://dx.doi.org/10.1080/1064119X.2018.1448912
  • Natesan, U., Parthasarathy, A., Vishnunath, R., Kumar, G.E.J., Ferrer, V.A., (2015). Monitoring longterm shoreline changes along Tamil Nadu, India using geospatial techniques. Aquat. Procedia 4, 325e332. http://dx.doi.org/10.1016/j.aqpro.2015.02.044
  • Oyedotun, T. D. (2014). Shoreline geometry: DSAS as a tool for historical trend analysis. Geomorphological Techniques, 3(2.2), 1-12.
  • Özpolat, E., & Demir, T. (2014). Coğrafi bilgi sistemleri ve uzaktan algılama yöntemleriyle kıyı çizgisi değişimi belirleme : Seyhan Deltası. XVI. Academic Informatics, Mersin University, Mersin.
  • Pratomo, D. G., & Pramudya, F. A. (2021). Evaluation of shoreline change using multitemporal satellite images. In IOP Conference Series: Earth and Environmental Science (Vol. 731, No. 1, p. 012006). IOP Publishing.
  • Prieto, J. Á. M., Munar, F. X. R., Perea, A. R., Gual, M. M., & Ferrer, B. G. (2018). Análisis de la evolución histórica de la línea de costa de la playa de Es Trenc (S. de Mallorca): causas y consecuencias. GeoFocus. Revista Internacional de Ciencia y Tecnología de la Información Geográfica, (21), 187-214.
  • Quang, D. N., Ngan, V. H., Tam, H. S., Viet, N. T., Tinh, N. X., & Tanaka, H. (2021). Long-term shoreline evolution using DSAS technique: A Case Study of Quang Nam Province, Vietnam. Journal of Marine Science and Engineering, 9(10), 1124. http://dx.doi.org/10.3390/jmse9101124
  • Sahin, G., Cabuk, S. N., & Cetin, M. (2022). CBS ve UA destekli kıyı alanını oluşturmak: Körfez ilçesi örneği. Environmental Science and Pollution Research, 29(10), 15172-15187.
  • Sheik, M. (2011). A shoreline change analysis along the coast between Kanyakumari and Tuticorin, India, using digital shoreline analysis system. Geo-spatial information Science, 14(4), 282-293. http://dx.doi.org/10.1007/s11806-011-0551-7
  • Siyal, A. A., Solangi, G. S., Siyal, P., Babar, M. M., & Ansari, K. (2022). Shoreline change assessment of Indus delta using GIS-DSAS and satellite data. Regional Studies in Marine Science, 102405. http://dx.doi.org/10.1016/j.rsma.2022.102405
  • Song, Y., Shen, Y., Xie, R., & Li, J. (2021). A DSAS-based study of central shoreline change in Jiangsu over 45 years. Anthropocene Coasts, 4(1), 115-128. http://dx.doi.org/10.1139/anc-2020-0001
  • Sytnik, O., Del Río, L., Greggio, N., & Bonetti, J. (2018). Historical shoreline trend analysis and drivers of coastal change along the Ravenna coast, NE Adriatic. Environmental Earth Sciences, 77(23), 1-20. http://dx.doi.org/10.1007/s12665-018-7963-8
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There are 49 citations in total.

Details

Primary Language English
Subjects Human Geography
Journal Section RESEARCH ARTICLE
Authors

Hüsna Kazı 0000-0002-3742-7329

Murat Karabulut 0000-0002-1456-6908

Publication Date October 8, 2023
Published in Issue Year 2023 Issue: 50

Cite

APA Kazı, H., & Karabulut, M. (2023). Monitoring the shoreline changes of the Göksu Delta (Türkiye) using geographical information technologıes and predictions for the near future. Lnternational Journal of Geography and Geography Education(50), 329-352. https://doi.org/10.32003/igge.1304403
AMA Kazı H, Karabulut M. Monitoring the shoreline changes of the Göksu Delta (Türkiye) using geographical information technologıes and predictions for the near future. IGGE. October 2023;(50):329-352. doi:10.32003/igge.1304403
Chicago Kazı, Hüsna, and Murat Karabulut. “Monitoring the Shoreline Changes of the Göksu Delta (Türkiye) Using Geographical Information technologıes and Predictions for the Near Future”. Lnternational Journal of Geography and Geography Education, no. 50 (October 2023): 329-52. https://doi.org/10.32003/igge.1304403.
EndNote Kazı H, Karabulut M (October 1, 2023) Monitoring the shoreline changes of the Göksu Delta (Türkiye) using geographical information technologıes and predictions for the near future. lnternational Journal of Geography and Geography Education 50 329–352.
IEEE H. Kazı and M. Karabulut, “Monitoring the shoreline changes of the Göksu Delta (Türkiye) using geographical information technologıes and predictions for the near future”, IGGE, no. 50, pp. 329–352, October 2023, doi: 10.32003/igge.1304403.
ISNAD Kazı, Hüsna - Karabulut, Murat. “Monitoring the Shoreline Changes of the Göksu Delta (Türkiye) Using Geographical Information technologıes and Predictions for the Near Future”. lnternational Journal of Geography and Geography Education 50 (October 2023), 329-352. https://doi.org/10.32003/igge.1304403.
JAMA Kazı H, Karabulut M. Monitoring the shoreline changes of the Göksu Delta (Türkiye) using geographical information technologıes and predictions for the near future. IGGE. 2023;:329–352.
MLA Kazı, Hüsna and Murat Karabulut. “Monitoring the Shoreline Changes of the Göksu Delta (Türkiye) Using Geographical Information technologıes and Predictions for the Near Future”. Lnternational Journal of Geography and Geography Education, no. 50, 2023, pp. 329-52, doi:10.32003/igge.1304403.
Vancouver Kazı H, Karabulut M. Monitoring the shoreline changes of the Göksu Delta (Türkiye) using geographical information technologıes and predictions for the near future. IGGE. 2023(50):329-52.