Analysis of Land Surface Temperatures with Remote Sensing and Geographic Information Systems: The Case of Amasya City Center
Yeryüzey Sıcaklıklarının Uzaktan Algılama ve Coğrafi Bilgi Sistemleri İle Analizi: Amasya Kent Merkezi Örneği
Keywords:
Landsurface Temperature(LST), Landsat-5-Landsat-8, Global Warming, Geographic Information Systrems (GIS), AmasyaAbstract
Land surface temperature is defined as the radiative surface temperature of the ground surface. Climate change and global warming cause an increase in the surface temperature, unlike the atmospheric temperature. Remote sensing and geographic information systems are very important in issues such as the detection and analysis of surface temperatures. Remote sensing and geographic information systems were used to determine the surface temperatures in the city center of Amasya. From the Landsat-5-Landsat-8 satellite images, the surface temperature was analyzed as 10-year periods between 1984-2021. Accordingly, the surface temperatures have increased since 1984. The warmest year was 2021. As a result, the changes in the surface temperatures and the increase in the surface temperature affect the urban climate negatively by causing the cities to be more suffocating and hot. It is recommended to make ecological urban designs from a geographical point of view.
References
Abbas, M., Zhao, L. & Wang, Y. (2022). Perspective ımpact on water environment and hydrological regime owing to climate change: A review. Hydrology, 9 (203): 1 – 22. https://doi.org/10.3390/ hydrology9110203.
Akyürek, Ö. (2020). Termal uzaktan algılama görüntüleri ile yüzey sıcaklıklarının belirlenmesi: Kocaeli örneği. Doğ. Afet Çev. Derg., 6(2): 377-390, DOI: 10.21324/dacd.667594.
Aryalekshmi, B.N., Mohammed A.J, Biradar, R.C. & Chandrasekar, K. (2020). Land surface temperature estimation of mandya district using LANDSAT-8 data. Journal of Applied Science and Engineering, 23 (4): 583-591. https://doi.org/10.6180/jase.202012_23(4).0002
Avdan, U. & Jovanovska, G. (2016). Algorithm for automated mapping of land surface temperature using LANDSAT 8 Satellite Data. Hindawi Publishing Corporation Journal of Sensors, 1- 8. http://dx.doi.org/10.1155/2016/1480307
Balcık, F.B. & Ergene E.M. (2017). Yer yüzey sıcaklığının termal uzaktan algılama verileri ile belirlenmesi: İstanbul örneği. Conference: TUFUAB April 2017. Accesses Adress (12.12.2022) https://www.tufuab.org.tr/uploads/files/articles/yer-yuzey-sicakliginin-termal-uzaktan-algilama-verileri-ile-belirlenmesi-istanbul-ornegi-2008.pdf
Çağlak, S., Özlü, T. & Şahin, K. (2017). Amasya’nın biyoklimatolojik koşullarının turizm yönünden incelenmesi. Studies of Ottoman Domains, 7 (13): 266 – 284. DOI Number: 10.19039/sotod.2017.74
Çağlak, S. (2022). Amasya kentinin biyoklimatik konfor koşullarının mekânsal dağılımı ve gelecek projeksiyonları, Mavi Atlas, 10(1), 182-197. DOI: 10.18795/gumusmaviatlas.1077568
Çağlak, S. & Türkeş, M. (2022). Yeni bir yaklaşımla termal konfor koşullarının günümüzde ve gelecek iklim koşullarındaki mekânsal dağılışının analizi; Bolu kenti örneği, Coğrafi Bilimler Dergisi/ Turkish.
Çelik, B. & Kalkan, K. (2012). Isıl Uzaktan Algılama Verileri Yardımıyla Yeryüzü Sıcaklıklarının Tespitinde Farklı Tek-Kanal Algoritmalarının Meteorolojik İstasyon Verileri Kullanılarak Karşılaştırılması: İstanbul Örneği. IV. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS 2012), 16-19 Ekim 2012, Zonguldak. Accesses Adress (12.12.2022) https://www.researchgate.net/publication/258836384_Isil_Uzaktan_Algilama_Verileri_Yardimiyla_Yeryuzu_Sicakliklarinin_Tespitinde_Farkli_TekKanal_Algoritmalarinin_Meteorolojik_Istasyon_Verileri_Kullanilarak_Karsilastirilmasi_Istanbul_Ornegi
Khurshid. M & Shirazi. S.A. (2022). Assessment and validation of land surface temparature (LST) dynamics using geo-spatial techniques in Dera Ghazi Khan City, Pakistan. International Journal of Innovations in Science and Technology, 4 (2): 300-312. Accesses Adress (12.12.2022) https://journal.50sea.com/index.php/IJIST/article/view/221
Kuş, A. (2016). Henry John Van Lennep’e göre Amasya. Gaziosmanpaşa Üniversitesi Sosyal Bilimler Araştırmaları Dergisi, 11 (1): 253-276. http://dx.doi.org/10.19129/sbad.38
Kwofie, S., Nyamekye, C., Boamah, L.A., Adjei, F.O., Arthur R. & Agyapong, E. (2022). Urban growth nexus to land surface temperature in Ghana. Cogent Engineering, 9 (1). https://doi.org/10.1080/23311916.2022.2143045
Li, Z. & Duan, S. (2018). Land surface temperature. Comprehensive Remote Sensing, 5: 264-283. https://doi.org/10.1016/B978-0-12-409548-9.10375-6
Maillard, Almonacid, Salazar & Alcazar (2023). Effect of deforestation on land surface temperature in the Chiquitania Region, Bolivia. Land, 12 (1). https://doi.org/10.3390/land12010002
Mercan, Ç. (2020). Yer yüzey sıcaklığının termal uzaktan algılama görüntüleri ile araştırılması: Muş İli örneği. Türkiye Uzaktan Algılama Dergisi, 2 (2): 42-49. Accesses Adress (12.12.2022) https://dergipark.org.tr/tr/download/article-file/1261765
Metin, A.E. & Çağlak, S. (2022). Assessment of the effect of land use change on bioclimatic comfort conditions in Uşak Province. Turkish Journal of Agriculture and Forestry, 46 (5), 632-641.https://doi.org/10.55730/1300-011X.3032
MGM. (2023). İl-ve-ilçeler-istatistik verileri. Accesses Adress (05.01.2023) https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?m=AMASYA
Mita, A. & Syahrani, E. (2022). Land surface temperature and its relationship to population density. Journal of Applied Geospatial Information, 6 (1): 02 – 20. (JAGI) DOI: https://doi.org/10.30871/jagi.v6i1.1936
Pandey, A., Mondal, A., Guha, S., Upadhyay, P.K & Singh D. (2022). Land use status and its impact on land surface temperature in Imphal city, India. Geology, Ecology, and Landscapes. https://Doi.Org/10.1080/24749508.2022.2131962,2022.
Pandey, A., Mondal A., Guha, S., Upadhyay, P. & Rashmi, (2022). A Seasonal investigation on land surface temperature and spectral indices in Imphal city, India. Journal of Landscape Ecology, 15 (3): 1- 8. https://doi.org/10.2478/jlecol-2022-0015
Rajeshwari, A. & Mani, N. N. (2014). Estimation of land surface temperature of dindigul district using Lansat 8 Data. International Journal of Research in Engineering and Technology, 3: 122-126. https://doi.org/10.15623/ijret.2014.0305025
Sumarmi, S., Mariza, S. R., Sari, R. A, Pratama, M. & Tanjung, A. (2022). The effect of vegetation density on land surface temperature in Klojen District. KnE Social Sciences, 7(16): 426–437. https://doi.org/10.18502/kss.v7i16.12186
Sutariye, S., Hirapara, A. & Tiwari, M. K. (2022). Development of Modeler for Automated Mapping of Land Surface Temperature Using GIS and LANDSAT8 Satellite Imagery. International Journal of Environment and Geoinformatics (IJEGEO), 9 (2):054-059. doi. 10.30897/ijegeo.820906
Şekertekin, A., Kutoğlu Ş. H. & Kaya Ş. (2013). Uzaktan Algılama Verileri Yardımıyla Yer Yüzey Sıcaklığının Belirlenmesi. TMMOB Harita ve Kadastro Mühendisleri Odası, 14. Türkiye Harita Bilimsel ve Teknik Kurultayı, 14-17 Mayıs 2013, Ankara. Accesses Adress (12.12.2022) https://www.researchgate.net/publication/259442201_Uzaktan_Algilama_Verileri_Yardimiyla_Yer_Yuzey_Sicakliginin_Belirlenmesi
Şekertekin, A. & Marangoz, (2019). Zonguldak metropolitan alanındaki arazi kullanımı arazi örtüsünün yer yüzey sıcaklığına etkisi. Journal of Geomatics, 4(2): 101-111. https://doi.org/10.29128/geomatik.497051
Şekertekin, A. & Bonafoni, S. (2020). Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: Assessment of different retrieval algorithms and emissivity models and toolbox ımplementation. Remote Sens., 12 (2): 1 – 32. https://doi.org/10.3390/rs12020294
Türkeş, M. & Erlat, E. (2017). Aşırı Hava ve İklim Olaylarında Dünya ve Türkiye’de Gözlenen Değişiklik ve Eğilimlerin Bilimsel Bir Değerlendirmesi. Fersa Matbaacılık, Ankara. Accesses Adress (12.12.2022),https://www.researchgate.net/publication/330507755_Asiri_Hava_ve_Iklim_Olaylarinda_Dunya_ve_Turkiye'de_Gozlenen_Degisiklik_ve_Egilimlerin_Bilimsel_Bir_Degerlendirmesi#fullTextFileContent
Welch, R. (1980). Monitoring urban population and energy utilization patterns from satellite data. Remote Sensing of Environment, 9 (1) :1-9. https://doi.org/10.1016/0034-4257(80)90043-7
Whan, J., Chen, X., Hu, Q. & Liu, J. (2020). Responses of terrestrial water storage to climate variation in the Tibetan Plateau. Journal of Hydrology, 584. https://doi.org/10.1016/j.jhydrol.2020.124652
Yüksel, Ü. (2006). A Study on Determining and Evaluating Summertime Urban Heat Islands in Ankara at Regional and Local Scale Utilizing Remote Sensing and Meteorological Data. (Unpublished doctoral thesis) Ankara University Graduate School of Natural and Applied Sciences, Ankara.
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