Abstract
The
Land Surface Temperature (LST) is defined as the radiative skin temperature of
ground and depends on the albedo, and whatever covers the surface such as
natural surface of earth (vegetation, soil) or artificial elements (roads,
buildings). LST is a key parameter in
many regional and global scale studies in urbanization, deforestation,
greenness in urban areas, human health, and city planning. Nowadays, the one of most suitable, cost
effective, and rapid way to retrieve LST is to use remote sensing data,
especially multispectral satellites data.
Remotely sensed data is a type of data that provides a long term
synoptic view of continuous coverage of LST by recording the solar radiation
that reflects from surface. The radiation at the earth's surface varies widely
due to atmospheric effects, local atmospheric conditions, geographic location,
and time of year. The main objectives of
this study are to estimate the long-term trend in LST using thermal remote
sensing data. Accordingly, the average temperature in the region increased by
about 0.5 ° C each year.
References
- Balcik, F. B., (2014). Determining the impact of urban components on land surface temperature of Istanbul by using remote sensing indices. Environmental Monitoring and Assessment, 186(2), 859-872.
- Chander, G., and Markham, B. (2003). Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, vol. 41(11), ISSN 0196-2892, p. 2674-2677. doi:10.1109/tgrs.2003.818464
- Copernicus Global Land Service, Land Surface Temperature. Retrieved on 21.03.2016, from http://land.copernicus.eu/global/products/lst
- Heilig, G. K., (2012). World urbanization prospects: the 2011 revision. United Nations, Department of Economic and Social Affairs (DESA), Population Division, Population Estimates and Projections Section, New York.
- https://mardin.ktb.gov.tr/TR-56481/cografya.html
- National Aeronautics and Space Administration, N. (2006). Landsat 7 Science Data Users Handbook. Retrieved on 21.03.2016, from http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf
- National Aeronautics and Space Administration, N. (2015). Landsat 8 Data Data Users Handbook. Retrieved on 21.03.2016, from http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf
- Orhan, O., Ekercin, S., & Dadaser-Celik, F. (2014). Use of landsat land surface temperature and vegetation indices for monitoring drought in the Salt Lake Basin Area, Turkey. The Scientific World Journal, 2014.
- Rouse Jr, J. W., Haas, R., Schell, J., & Deering, D. (1974). Monitoring vegetation systems in the Great Plains with ERTS. In Third ERTS symposium, NASA SP-351, U.S. Govt. Printing Office, Washington, D.C., vol. 1, pp. 309–317.
- United States Geological Survey, (2016). USGS Global Visualization Viewer. Retrieved on 15.01.2016, from http://glovis.usgs.gov/
- Uysal, M., and Polat, N., (2015). An Investigation of the Relationship between Land Surface Temperatures and Biophysical Indices Retrieved From Landsat Tm in Afyonkarahisar (Turkey). Tehnicki Vjesnik-Technical Gazette, vol. 22(1), ISSN 1330-3651, p. 177-181.
- Yakar, M., ve Orhan, O. (2016). Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey. Proceedings of The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 16(6), 12-19.
- Yuan, F., & Bauer, M. E. (2006). Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sensing of Environment, vol. 106(3), p. 375-386. doi:10.1016/j.rse.2006.09.003,
- Zhang, J. Q., Wang, Y. P., & Li, Y. (2006). A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band6. Computers & Geosciences, vol. 32(10), p. 1796-1805. doi:10.1016/j.cageo.2006.05.001
Abstract
Yeryüzü
arazi kullanımı ve arazi örtüsü diye ifade edilen birçok doğal (bitki örtüsü,
su) ya da yapay (şehirler, yollar) nesnelerle örtülüdür. Yer Yüzeyi Sıcaklığı
(YYS) ise yerin ışınsal cilt sıcaklığı olarak tanımlanır ve arazinin kullanım
ve örtüsüyle doğrudan ilişkilidir çünkü sıcaklık maddelerin cinsine göre
farklılaşabilmektedir. Dünyanın homojen bir yer yüzeyine sahip olmadığı
gerçeği, YYS tespitinde farklı teknolojiler kullanılmasını sağlamıştır. Bu
teknolojilerden biri termal algılamadır. Bugün, uydular yardımıyla termal
kızılötesi kullanılarak düşük maliyetli, etkili ve hızlı bir şekilde YYS
görüntüleri elde edilebilmektedir.
Ayrıca uyduların zamansal çözünürlüğü sayesinde istenilen bölge uzun
süreli gözlenebilmektedir. Bu çalışmada Mardin şehrinde YYS’ nın uzun yıllar
(29 yıllık) değişimi tespit edilmiştir.
References
- Balcik, F. B., (2014). Determining the impact of urban components on land surface temperature of Istanbul by using remote sensing indices. Environmental Monitoring and Assessment, 186(2), 859-872.
- Chander, G., and Markham, B. (2003). Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, vol. 41(11), ISSN 0196-2892, p. 2674-2677. doi:10.1109/tgrs.2003.818464
- Copernicus Global Land Service, Land Surface Temperature. Retrieved on 21.03.2016, from http://land.copernicus.eu/global/products/lst
- Heilig, G. K., (2012). World urbanization prospects: the 2011 revision. United Nations, Department of Economic and Social Affairs (DESA), Population Division, Population Estimates and Projections Section, New York.
- https://mardin.ktb.gov.tr/TR-56481/cografya.html
- National Aeronautics and Space Administration, N. (2006). Landsat 7 Science Data Users Handbook. Retrieved on 21.03.2016, from http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf
- National Aeronautics and Space Administration, N. (2015). Landsat 8 Data Data Users Handbook. Retrieved on 21.03.2016, from http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf
- Orhan, O., Ekercin, S., & Dadaser-Celik, F. (2014). Use of landsat land surface temperature and vegetation indices for monitoring drought in the Salt Lake Basin Area, Turkey. The Scientific World Journal, 2014.
- Rouse Jr, J. W., Haas, R., Schell, J., & Deering, D. (1974). Monitoring vegetation systems in the Great Plains with ERTS. In Third ERTS symposium, NASA SP-351, U.S. Govt. Printing Office, Washington, D.C., vol. 1, pp. 309–317.
- United States Geological Survey, (2016). USGS Global Visualization Viewer. Retrieved on 15.01.2016, from http://glovis.usgs.gov/
- Uysal, M., and Polat, N., (2015). An Investigation of the Relationship between Land Surface Temperatures and Biophysical Indices Retrieved From Landsat Tm in Afyonkarahisar (Turkey). Tehnicki Vjesnik-Technical Gazette, vol. 22(1), ISSN 1330-3651, p. 177-181.
- Yakar, M., ve Orhan, O. (2016). Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey. Proceedings of The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 16(6), 12-19.
- Yuan, F., & Bauer, M. E. (2006). Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sensing of Environment, vol. 106(3), p. 375-386. doi:10.1016/j.rse.2006.09.003,
- Zhang, J. Q., Wang, Y. P., & Li, Y. (2006). A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band6. Computers & Geosciences, vol. 32(10), p. 1796-1805. doi:10.1016/j.cageo.2006.05.001
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Engineering |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | June 15, 2020 |
| Acceptance Date | January 3, 2020 |
| Published in Issue | Year 2020 Volume: 2 Issue: 1 |
