TY  - JOUR
T1  - Mardin ilinde uzun yıllar yer yüzey sıcaklığı değişiminin incelenmesi
TT  - Investigation of long term land surface temperature changes in Mardin Province
AU  - Polat, Nizar
PY  - 2020
DA  - June
Y2  - 2020
JF  - Turkish Journal of Remote Sensing
JO  - TJRS
PB  - Osman ORHAN
WT  - DergiPark
SN  - 2687-4997
SP  - 10
EP  - 15
VL  - 2
IS  - 1
LA  - tr
AB  - Yeryüzüarazi 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 kullanımve örtüsüyle doğrudan ilişkilidir çünkü sıcaklık maddelerin cinsine görefarklılaşabilmektedir. Dünyanın homojen bir yer yüzeyine sahip olmadığıgerçeği, YYS tespitinde farklı teknolojiler kullanılmasını sağlamıştır. Buteknolojilerden biri termal algılamadır. Bugün, uydular yardımıyla termalkızılötesi kullanılarak düşük maliyetli, etkili ve hızlı bir şekilde YYSgörüntüleri elde edilebilmektedir.Ayrıca uyduların zamansal çözünürlüğü sayesinde istenilen bölge uzunsüreli gözlenebilmektedir. Bu çalışmada Mardin şehrinde YYS’ nın uzun yıllar(29 yıllık) değişimi tespit edilmiştir.
KW  - Termal Uzaktan Algılama
KW  - Yer Yüzeyi Sıcaklığı
KW  - Landsat
KW  - NDVI
KW  - Mardin
N2  - TheLand Surface Temperature (LST) is defined as the radiative skin temperature ofground and depends on the albedo, and whatever covers the surface such asnatural surface of earth (vegetation, soil) or artificial elements (roads,buildings). LST is a key parameter inmany regional and global scale studies in urbanization, deforestation,greenness in urban areas, human health, and city planning. Nowadays, the one of most suitable, costeffective, 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 termsynoptic view of continuous coverage of LST by recording the solar radiationthat reflects from surface. The radiation at the earth's surface varies widelydue to atmospheric effects, local atmospheric conditions, geographic location,and time of year. The main objectives ofthis study are to estimate the long-term trend in LST using thermal remotesensing data. Accordingly, the average temperature in the region increased byabout 0.5 ° C each year.
CR  - 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.
CR  - 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
CR  - Copernicus Global Land Service, Land Surface Temperature.   Retrieved on 21.03.2016, from http://land.copernicus.eu/global/products/lst
CR  - 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.
CR  - https://mardin.ktb.gov.tr/TR-56481/cografya.html
CR  - 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
CR  - 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
CR  - 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.
CR  - 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.
CR  - United States Geological Survey, (2016). USGS Global Visualization Viewer.   Retrieved on 15.01.2016, from http://glovis.usgs.gov/
CR  - 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.
CR  - 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.
CR  - 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,
CR  - 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
UR  - https://dergipark.org.tr/en/pub/tuzal/article/649526
L1  - https://dergipark.org.tr/en/download/article-file/984051
ER  -