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Adana Surface Heat Island using Landsat Images

Year 2015, , 115 - 138, 01.08.2015
https://doi.org/10.1501/Cogbil_0000000167

Abstract

The cities show different temperature characteristics than their surroundings. These different temperature conditions are called as “urban heat island (UHI)” when they are measured by the air temperature and as “surface heat island (SUHI)” when the surface temperature is specified. In this study the subject of which is the characteristic of the SUHI within the year in Adana city and its close surrounding the Landsat satellite images, the meteorology station data and various definitive statistics were used. By using the satellite images and various sources, the development of the city and the associated growth in the surface heat island (SHI) dimensions were revealed. The surface temperature models were created from the thermal bands of the satellite images and the differences that the relative surface temperature status shows within the year as compared with the surrounding of the city were analyzed. The differences in the surface temperatures according to the land cover created by the controlled classification were identified. The development in the normalized vegetation index (NDVI) values within the year was analyzed and its natural development in Adana and its surrounding was revealed. In the study in which also the relations between the surface temperatures and the NDVI values were examined, it was determined that Adana SUHI has reached to 170 km2 today and shows negative SHI characteristic in the winter season and positive SUHI characteristic in the summer season. In the surrounding of Adana where the water surfaces have the lowest temperatures, the highest surface temperatures were identified in the irrigated farming areas where dry farming is performed in the cold period and in the pasture areas in the summer season. The correlations between the NDVI value and the surface temperatures show negative values except for the water surfaces. The NDVI-surface temperature relation in the urban areas is generally positive in the winter period whereas it shows negative values in the summer season

References

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Landsat görüntüleri ile Adana yüzey ısı adası

Year 2015, , 115 - 138, 01.08.2015
https://doi.org/10.1501/Cogbil_0000000167

Abstract

Şehirler çevrelerine göre farklı sıcaklık özellikleri gösterirler. Bu farklı sıcaklık koşulları hava sıcaklığı ile ölçüldüğünde “şehir ısı adası (ŞIA)”, yüzey sıcaklığı ile belirtildiğinde ise “yüzey ısı adası (YIA)” adını alır. Adana şehri ve yakın çevresinde YIA’nın yıl içindeki karakterinin konu edildiği bu çalışmada, Landsat uydu görüntüleri, meteoroloji istasyonu verileri ve çeşitli tanımlayıcı istatistikler kullanılmıştır. Uydu görüntülerinden ve çeşitli kaynaklardan yararlanılarak, şehrin gelişimi ve buna bağlı yüzey ısı adası (YIA) boyutlarındaki büyüme ortaya konulmuştur. Uydu görüntülerinin termal bantlarından yüzey sıcaklık modelleri üretilmiş, şehrin çevresine göre nispi yüzey sıcaklık durumunun yıl içinde gösterdiği farklılıklar analiz edilmiştir. Kontrollü sınıflandırma yöntemiyle oluşturulan arazi örtüsüne göre yüzey sıcaklıklarındaki farklılıklar belirlenmiştir. Yıl içindeki normalize edilmiş bitki indeksi (NDVI) değerlerinin yıl içerisindeki değişimi ortaya konulmuştur. Yüzey sıcaklıkları ile NDVI değerleri arasındaki ilişkilerin de incelendiği çalışmada, Adana YIA’nın günümüzde 170 km2ye yaklaştığı, kış ayalarında negatif YIA, yaz aylarında ise pozitif YIA özelliği gösterdiği belirlenmiştir. Su yüzeylerinin en düşük sıcaklıklara sahip olduğu Adana çevresinde en yüksek yüzey sıcaklıkları soğuk dönemde kuru tarım yapılan sulu tarım alanlarında, yaz aylarında ise mera alanlarında belirlenmiştir. NDVI ile yüzey sıcaklıkları arasındaki korelasyonlar su yüzeyleri haricinde negatif değerler göstermektedir. Şehirsel alanlardaki NDVI-yüzey sıcaklığı ilişkisi yaz aylarında negatif değerler gösterirken kış döneminde genel olarak pozitiftir

References

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  • Chen, X.-L., Zhao, H.-M., Li, P.-X., & Yin, Z.-Y. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104(2), 133-146. doi:http://dx.doi.org/10.1016/j.rse.2005.11.016
  • Cui, Y. Y., & de Foy, B. (2012). Seasonal Variations of the Urban Heat Island at the Surface and the Near-Surface and Reductions due to Urban Vegetation in Mexico City. Journal of Applied Meteorology and Climatology, 51(5), 855- 868. doi:10.1175/JAMC-D-11-0104.1
  • Çalışkan, O., Çiçek, İ., & Matzarakis, A. (2012). The climate and bioclimate of Bursa (Turkey) from the perspective of tourism. Theoretical and Applied Climatology, 107(3), 417-425.
  • Çalışkan, O., & Türkoğlu, N. (2011). Ankara şehrinin insan biyoklimatolojisi açısından analizi. Uluslararası İnsan Bilimleri Dergisi, 8(2), 978-1001.
  • Çicek, İ., & Türkoğlu, N. (2009). The effects of Urbanization on Water Vapour Pressure in a Semi-Arid Climate. Theoretical & Applied Climatology, 95(1/2), 10p. doi:10.1007/s00704-007-0363-8
  • Çiçek, İ. (2003, 11-13 Nisan 2002). Ankara’da Şehirleşmenin Biyoklimatik Koşullar Üzerine Etkisi. Paper presented at the Prof.Dr. Sırrı Erinç Anısına Klimatoloji Çalıştayı, İzmir.
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  • Çiçek, İ., & Doğan, U. (2005). Ankara’da Şehir Isı Adasının İncelenmesi. Coğrafi Bilimler Dergisi, 3(1), 57-72
  • Çiçek, İ., Yılmaz, E., Türkoğlu, N., & Çalışkan, O. (2013). Seasonal variation of surface temperature based on land cover in Ankara Ankara şehrinde yüzey sıcaklıklarının arazi örtüsüne göre mevsimsel değişimi. 2013, 10(1), 20.
  • Guoxiang, Y., Bowling, L. C., Cherkauer, K. A., Pijanowski, B. C., & Niyogi, D. (2010). Hydroclimatic Response of Watersheds to Urban Intensity: An Observational and Modeling-Based Analysis for the White River Basin, Indiana. Journal of Hydrometeorology, 11(1), 17p. doi:10.1175/2009jhm1143.1
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  • Karabulut, M. (2003). An examination of relationships between vegetation and rainfall using maximum value composite AVHRR-NDVI data. Turkish Journal of Botany, 27(2), 93-101.
  • Karaca, M., Anteplioĝlu, Ü., & Karsan, H. (1995). Detection of urban heat island in Istanbul, Turkey. Il Nuovo Cimento C, 18(1), 49-55. doi:10.1007/bf02561458
  • Karaca, M., & Tayanç, M. (1998, 18-23 October). Urbanization Effects on Regional Climate Change in Turkey. Paper presented at the Second European Climate Conference, Vienna, Austia.
  • Katpatal, Y., Kute, A., & Satapathy, D. (2008). Surface- and Air-Temperature Studies in Relation to Land Use/Land Cover of Nagpur Urban Area Using Landsat 5 TM Data. J. Urban Plann. Dev., 134:3 (110), 110-118.
  • Kuşçu, Ç., & Şengezer, B. (2011, 10-15 April 2011). Determination of Heat Islands from Landsat Tm Data: Relationship between Surface Temperature and Urbanization Factors in Istanbul. Paper presented at the 34th International Symposium on Remote Sensing of Environment, Sydney, Australia.
  • Lee, S. H., Song, C. K., Baik, J. J., & Park, S. U. (2009). Estimation of anthropogenic heat emission in the Gyeong-In region of Korea. Theoretical & Applied Climatology, 96(3/4), 13p. doi:10.1007/s00704-008-0040-6
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  • Lin, C.-Y., Chen, F., Huang, J. C., Chen, W. C., Liou, Y. A., Chen, W. N., & Liu, S.-C. (2008). Urban heat island effect and its impact on boundary layer development and land-sea circulation over northern Taiwan. Atmospheric Environment, 42(22), 15p. doi:10.1016/j.atmosenv.2008.03.015
  • Liu, L., & Zhang, Y. (2011). Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong. Remote Sensing, 3(7), 1535.
  • Lougeay, R., Brazel, A., & Hubble, M. (1996). Monitoring Intraurban temperature patterns and associated land cover in phoenix, Arizona using Landsat thermal data. Geocarto International, 11(4), 79-90. doi:10.1080/10106049609354564
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There are 67 citations in total.

Details

Other ID JA73SV48GH
Journal Section Research Article
Authors

Erkan Yılmaz

Publication Date August 1, 2015
Published in Issue Year 2015

Cite

APA Yılmaz, E. (2015). Landsat görüntüleri ile Adana yüzey ısı adası. Coğrafi Bilimler Dergisi, 13(2), 115-138. https://doi.org/10.1501/Cogbil_0000000167

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