LST change for 16-year period for different land use classes

Main Article Content

Burak Kotan
Abdullah Tatmaz
Suat Kılıç
Arzu Erener

Abstract

Problems such as global warming and climate change have been increasing their impact in the world negatively in recent years. With the development of the industry, more factories were established. Thus, more harmful gases were released into the environment with more factories. This ultimately caused environmental pollution and eventually damage to the atmosphere. In pursuit of this, the rays coming to the Earth too much have triggered Global Warming. The earth's surface temperature is severely affected by the energy exchange between the earth and the atmosphere. The surface temperature can be measured by terrestrial measurements, but there are constraints in terms of continuity, time, and cost. In this sense, remote sensing is a technology that is fast, reliable, and provides an advantage over terrestrial measurements in terms of cost. Within the scope of this study, the 16-year process between the land surface temperature maps of Kocaeli Province was examined by remote sensing. In this context, Landsat 8 OLI_TIRS and Landsat 5 TM satellite images were used dated 02.07.2017 and 02.07.2001 respectively. Temperature changes were obtained for the different land uses and evaluated for 16-year period in the GIS environment.

Article Details

How to Cite
Kotan, B. ., Tatmaz, A. ., Kılıç, S. ., & Erener, A. . (2021). LST change for 16-year period for different land use classes. Advanced Remote Sensing, 1(1), 38–45. Retrieved from https://publish.mersin.edu.tr/index.php/arsej/article/view/166
Section
Articles

References

Dağlıyar, A., Avdan, U., Uça Avcı Z. D. (2016). Uzaktan Algılama Verileri Yardımıyla Kahramanmaraş ili ve Çevresinin Yer Yüzey Sıcaklığının Belirlenmesi, TUFUAB VIII. Teknik Sempozyumu 21-23 Mayıs 2015 / Konya, 324-331

Oke T.R. (1973). City size and the urban heat island, Atmospheric Environment. 7(8), 769-779.

Ndossi, M.I. & Avdan U. (2016). Inversion of Land Surface Temperature (LST) Using Terra ASTER Data: A Comparison of Three Algorithms, Remote Sensing. 8(12).

Erener, A. & Sarp, G. (2017). Kentleşmenin Isı Adaları Oluşumu Üzerine Etkisinin Uzaktan Algılama Teknolojileri ile Değerlendirilmesi, I. Uluslararası Bilimsel ve Mesleki Çalışmalar Kongresi, Nevşehir, Türkiye

Jain, S., Sannigrahi, S., Sen, S., Bhatt, S., Chakraborti, S., Rahmat, S. (2020). Urban heat island intensity and its mitigation strategies in the fast-growing urban area, Journal of Urban Management. 9(1): 54-66

Jain M., Dimri A.P., Niyogi D. (2017). Land-Air Interactions over Urban-Rural Transects Using Satellite Observations: Analysis over Delhi, India from 1991–2016, Remote Sensing, 2017, 9(12).

Rosas, J. Houborg, R. & McCabe, M.F. (2017). Sensitivity of Landsat 8 Surface Temperature Estimates to Atmospheric Profile Data: A Study Using MODTRAN in Dryland Irrigated Systems, Remote Sens. 9(10), 988 https://doi.org/10.3390/rs9100988

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

Orhan, O. (2021). Mersin İlindeki Kentsel Büyümenin Yer Yüzey Sıcaklığı Üzerine Etkisinin Araştırılması. Geomatik, 6 (1), 69-76. DOI: 10.29128/geomatik.679858

Şekertekin, A. İ. (2013). Uzaktan algılama verileri ile bölgesel çevre etkilerinin belirlenmesi: Zonguldak Örneği, Bülent Ecevit Üniversitesi Fen Bilimleri Enstitüsü Jeodezi ve Fotogrametri Mühendisliği Ana Bilim Dalı, Yüksek Lisans Tezi, Zonguldak

Qin Z., Karnieli A., Berliner P., A (2001). Mono-Window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt Border Region, International Journal of Remote Sensing. 22(18), 3719-3746

Yilmaz, H. M., Yakar, M., Mutluoglu, O., & Yildiz, F. (2004, July). Selection of the most suitable sizes of ground control points in the satellite images. In ISPRS Congress Istanbul, 12-13.

Mutluoğlu, Ö., Yakar, M., & Yilmaz, H. M. (2016). Investigation of spatial accuracy of high-resolution (50cm) Worldview-2 satallite images. Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi, 4(4), 321-329.

Erener, A., & Yakar, M. (2012). Monitoring coastline change using remote sensing and GIS technologies. Lecture Notes in Information Technology, 30, 310-314.

Mutluoglu, O., Yakar, M., & Yilmaz, H. M. (2015). Investigation of effect of the number of ground control points and distribution on adjustment at WorldView-2 Stereo images. International Journal of Applied Mathematics, Electronics and Computers, 3(1), 37-41.

https://earthexplorer.usgs.gov/

http://libra.developmentseed.org/

https://www.meteoblue.com/tr

Çapar, N. (2009). Landsat uydu görüntüleri kullanılarak jeotermal kaynakların araştırılması, Ankara Örneği Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Jeodezi ve Fotogrametri Mühendisliği Anabilim Dalı, Haziran 2009, İstanbul, Türkiye

Grupta, R. P. (2015). Remote Sensing Geology, Second Edition, Almanya, Springer – Verlag.

Yıldız, A., Bağcı, M., Başaran, C., Çonkar, F. E., Ayday, C. (2017). Landsat 8 Uydu Verilerinin Jeotermal Saha Araştırmalarında Kullanılması: Gazlıgöl (Afyonkarahisar) Çalışması, Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 17, 277-284.

Artis, D.A., Carnahan, W.H. (1982). Survey of emissivity variability in thermography of urban areas, Remote Sensing of Environment, 12(4), 313 – 329