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Year 2012, Volume: 25 Issue: 2, 327 - 335, 16.04.2012

Mehmet Sahın , Vedat Pestamalcı Bekir Yigit Yıldız Ozan Senkal

Abstract

References

  • Prince, S.D., Goetz, S.J., Dubayah, R.O., Czajkowski, K.P., Thawley, M., “ Inference of surface precipitable water and vapor pressure deficit using advanced very high-resolution radiometer satellite observations: Comparison with field observations”, Journal of Hydrology, 212–213: 230–249, (1998).
  • Hay, S.I., Lennon, J.J., “Deriving meteorological variables across africa for the study and control of vector-borne disease: A comparison of remote sensing and spatial interpolation of climate”, Tropical Medicine and International Health, 4:58- 71, (1999).
  • Hashimoto, H., Jennifer, L.D., White, M.A.,Yang, F., Michaelis, A.R.,Running, S.W., Nemani, R.R., “Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data”, Remote Sensing of Environment, 112: 142– 155, (2008).
  • Kao, W.Y., Forseth, I.N., “Responses of gas exchange and phototropic leaf orientation in soybean to soil water availability, leaf water potential, air temperature and photosynthetic photon flux”, Environmental and Experimental Botany, 32: 153- 161,(1992).
  • Eliasson, I., Svensson, M.K., “Spatial air temperature variations and urban land use – A statistical approach”, Meteorol. Appl., 10: 135–149, (2003).
  • Cheval, S., Dumitrescu, A., Bell, A., “The urban heat island of Bucharest during the extreme high temperatures of July 2007”, Theor Appl Climatol., 97:391–401, (2009).
  • Goetz, S.J., Prince, S.D., Small, J., “Advances in satellite remote sensing of environmental variables for epidemiological applications”, Advances in Parasitology, 47:289-307, (2000).
  • Jain, S.K., Jain, S.K., Hariprasad, V., Choudhry, A., “Water balance study for a basin integrating remote sensing data and GIS”, Indian Society of Remote Sensing, DOI 10. 1007/s12524-011-0078-2, (2011).
  • Wenqin, Z., Longxun, C., Zijiang, Z., “Several characteristics of contemporary climate change in the Tibetan Plateau”, Science in China Series D: Earth Sciences, 44: 410-420, (2001).
  • Schröder, W., Schmidt, G., Hasenclever, J., “Geostatistical analysis of data on air temperature and plant phenology from Baden-Württemberg (Germany) as a basis for regional scaled models of climate change”, Environmental Monitoring and Assessment, 120: 27–43, (2006).
  • Shi, Y., Shen, Y., Kang, E., Li, D., Ding, Y., Zhang, G., Hu, R., “Recent and future climate change in Northwest China”, Climatic Change, 80: 379–393, (2007).
  • Bocchiola, D., Diolaiuti, G., “Evidence of climate change within the Adamello Glacier of Italy”, Theor. Appl. Climatol., 100:351–369, (2010).
  • Kittel, T.G.F., Baker, B.B., Higgins, J.V., Haney, J.C., “Climate vulnerability of ecosystems and landscapes on Alaska’s North Slope”, Reg. Environ. Change, 11:249–264, (2011).
  • Czajkowski, K.P., Mulhern, T., Goward, S.N., Cihlar, J., Dubayah, R.O., Prince, S.D., “Biospheric environmental monitoring at BOREAS AVHRR observations”, Journal of Geophysical Research, 102:29651–29662, (1997). with
  • Prihodko, L., Goward, S.N., “Estimation of air temperature from observations”, Remote Sensing of Environment, 60:335–346, (1997). sensed surface
  • Cresswell, M.P., Morse, A.P., Thomson, M.C., Connor, S.J., “Estimating surface air temperatures from Meteosat land surface temperatures using an empirical solar zenith angle model”, International Journal of Remote Sensing, 20: 1125–1132, (1999). [17] Price, J.C., “Land surface temperature measurements from the Split Window channels of the NOAA 7 Advanced Very High Resolution Radiometer”, Journal of Geophysical Research, 89: 7231–7237, (1984).
  • Becker, F., Li, Z.L., “Towards a local split window method over land surfaces”, International Journal of Remote Sensing, 11: 369–393, (1990).
  • Prata, A.J., Platt, C.M.R., “Land surface temperature measurements from the AVHRR”, 5th AVHRR Data Users’ Meeting, Tromso (Norway), 24–28 June 1991 (Darmstadt: EUMETSAT), 433–438, (1991).
  • Kerr, Y.H., Lagouarde, J.P., Imbernon, J., “Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm”, Remote Sensing of Environment, 41: 197–209, (1992).
  • Coll, C., Caselles, V., Schmugge, T.J. “Estimation of land surface emissivity differences in the split- window channels of AVHRR”, Remote Sensing of Environment, 48:127–134, (1994).
  • Ulivieri, C., Castronouvo, M.M., Francioni, R., Cardillo, A., “A split-window algorithm for estimating land surface temperature from satellites”, Advances in Space Research, 14: 59–65, (1994).
  • Becker, F., “The impact of spectral emissivity on the measurement of land surface temperature from a satellite”, Sensing, 8: 1509-1522, (1987). Journal of Remote
  • Kawamura, H., Edamatsu. Y., “Better understanding of earth environment”, International Geoscience and Remote Sensing Symposium, 3: 1473 – 1475, (1993).
  • Khomarudin, M.R., Bey, A., Risdiyanto, I., “Estimation of air temperature using remote sensing based a thermal diffusivity approach”, International Journal of Remote Sensing and Earth Sciences, 3: 24-30, (2006).
  • Riddering, J.P., Queen, L.P., “Estimating near- surface air temperature with NOAA –AVHRR”, Can. J. Remote Sensing, 32: 33–43, (2006).
  • Stisen, S., Sandholt, I., Nİrgaard, A., Fensholt, R., Eklundh, L., “Estimation of diurnal air temperature using MSG SEVIRI data in West Africa”, Remote Sensing of Environment, 110: 262-274, (2007).
  • Vancutsem, C., Ceccato, P., Dinku, T., Connor, S.J., “Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa”, Remote Sensing of Environment, 114: 449-465, (2010).
  • Lakshmi, V., Czajkowski, K., Dubayah, R., Susskind, J., “Land surface air temperature mapping using TOVS and AVHRR”, International Journal of Remote Sensing, 22: 643 – 662, (2001).
  • Jang, J.D., Viau, A.A., Anctil, F., “Neural network estimation of air temperatures from AVHRR data”, International Journal of Remote Sensing, 25: 4541-4554, (2004).
  • Şorman, A.Ü., Doğanoğlu, V., “Determination of flood inundated areas using RS techniques in the Western Black Sea Region of Turkey”, Turkish Journal Engineering Environment, 25: 379 – 389, (2001).
  • Vogt, J.V., “Land surface temperature retrieval from NOAA-AVHRR data, in: G. D’Souza et al. (Eds.), Advances in the Use of NOAA-AVHRR Data for Land Applications”, Kluwer Academic, Dordrecht- The Netherlands, 125-151, (1996).
  • Caselles, V., Coll, C., Valor, E., “Land surface emissivity and temperature determination in the whole HAPES-Sahel area from AVHRR data”, International Journal of Remote Sensing, 18: 1009-1027, (1997).
  • Chrysoulakis, N., Cartalis, C., “Improving the estimation of land surface temperature for the region of Greece: Adjustment of a split window algorithm to account for the distribution of precipitable water”,
  • International Journal of Remote Sensing, 23: 871– 880, (2002).
  • Kendall, M.G., Stuart, A., “The Advanced Theory of Statistics”, Charles Griffin & Company Press, London, over the Sahel”, Atmospheric Research, 47-48: 651- 670, (1998). (1963).
  • Laurent, H., Jobard, I., Toma, A., “Validation of satellite and ground-based estimates of precipitation
  • Appendix- 1.Air temperature values depends on meteorological and satellite data City Month(2002)
  • Meteorological air temperature(ºK)
  • Satellite air temperature(ºK) Adana January February March April May June July August September October November December Ankara January February March April May June July August September October November December Balıkesir January February March April May June July August İzmir Samsun January February March April May June July August September October November December Şanlıurfa January February March April May June July August September October November December Van

Forecasting of Air Temperature Based on Remote Sensing

Year 2012, Volume: 25 Issue: 2, 327 - 335, 16.04.2012

Mehmet Sahın , Vedat Pestamalcı Bekir Yigit Yıldız Ozan Senkal

Abstract

The aim of this research is to forecast air temperature based on remote sensing data.  So, land surface temperature and air temperature values which were measured by Republic of Turkey Ministry of Forestry and Water Affairs (Turkish State Meteorological Service) during the period 1995–2001 at seven stations (Adana, Ankara, Balıkesir, İzmir, Samsun, Şanlıurfa, Van) were compared. The monthly land surface temperature and air temperature were used to have correlation coefficients over Turkey. An empirical method was obtained from equation of correlation coefficients. Separately, Price algorithm was used for the estimation of land surface temperature values to get air temperatures. Then as statistical, air temperature values, belongs to meteorological data in Turkey (26–45ºE and 36–42ºN) throughout 2002, were evaluated. The research results showed that accuracy of estimation of the air temperature changes from 2.453ºK to 2.825ºK by root mean square error. 

Keywords

Air temperature satellite NOAA-AVHRR.

References

  • Prince, S.D., Goetz, S.J., Dubayah, R.O., Czajkowski, K.P., Thawley, M., “ Inference of surface precipitable water and vapor pressure deficit using advanced very high-resolution radiometer satellite observations: Comparison with field observations”, Journal of Hydrology, 212–213: 230–249, (1998).
  • Hay, S.I., Lennon, J.J., “Deriving meteorological variables across africa for the study and control of vector-borne disease: A comparison of remote sensing and spatial interpolation of climate”, Tropical Medicine and International Health, 4:58- 71, (1999).
  • Hashimoto, H., Jennifer, L.D., White, M.A.,Yang, F., Michaelis, A.R.,Running, S.W., Nemani, R.R., “Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data”, Remote Sensing of Environment, 112: 142– 155, (2008).
  • Kao, W.Y., Forseth, I.N., “Responses of gas exchange and phototropic leaf orientation in soybean to soil water availability, leaf water potential, air temperature and photosynthetic photon flux”, Environmental and Experimental Botany, 32: 153- 161,(1992).
  • Eliasson, I., Svensson, M.K., “Spatial air temperature variations and urban land use – A statistical approach”, Meteorol. Appl., 10: 135–149, (2003).
  • Cheval, S., Dumitrescu, A., Bell, A., “The urban heat island of Bucharest during the extreme high temperatures of July 2007”, Theor Appl Climatol., 97:391–401, (2009).
  • Goetz, S.J., Prince, S.D., Small, J., “Advances in satellite remote sensing of environmental variables for epidemiological applications”, Advances in Parasitology, 47:289-307, (2000).
  • Jain, S.K., Jain, S.K., Hariprasad, V., Choudhry, A., “Water balance study for a basin integrating remote sensing data and GIS”, Indian Society of Remote Sensing, DOI 10. 1007/s12524-011-0078-2, (2011).
  • Wenqin, Z., Longxun, C., Zijiang, Z., “Several characteristics of contemporary climate change in the Tibetan Plateau”, Science in China Series D: Earth Sciences, 44: 410-420, (2001).
  • Schröder, W., Schmidt, G., Hasenclever, J., “Geostatistical analysis of data on air temperature and plant phenology from Baden-Württemberg (Germany) as a basis for regional scaled models of climate change”, Environmental Monitoring and Assessment, 120: 27–43, (2006).
  • Shi, Y., Shen, Y., Kang, E., Li, D., Ding, Y., Zhang, G., Hu, R., “Recent and future climate change in Northwest China”, Climatic Change, 80: 379–393, (2007).
  • Bocchiola, D., Diolaiuti, G., “Evidence of climate change within the Adamello Glacier of Italy”, Theor. Appl. Climatol., 100:351–369, (2010).
  • Kittel, T.G.F., Baker, B.B., Higgins, J.V., Haney, J.C., “Climate vulnerability of ecosystems and landscapes on Alaska’s North Slope”, Reg. Environ. Change, 11:249–264, (2011).
  • Czajkowski, K.P., Mulhern, T., Goward, S.N., Cihlar, J., Dubayah, R.O., Prince, S.D., “Biospheric environmental monitoring at BOREAS AVHRR observations”, Journal of Geophysical Research, 102:29651–29662, (1997). with
  • Prihodko, L., Goward, S.N., “Estimation of air temperature from observations”, Remote Sensing of Environment, 60:335–346, (1997). sensed surface
  • Cresswell, M.P., Morse, A.P., Thomson, M.C., Connor, S.J., “Estimating surface air temperatures from Meteosat land surface temperatures using an empirical solar zenith angle model”, International Journal of Remote Sensing, 20: 1125–1132, (1999). [17] Price, J.C., “Land surface temperature measurements from the Split Window channels of the NOAA 7 Advanced Very High Resolution Radiometer”, Journal of Geophysical Research, 89: 7231–7237, (1984).
  • Becker, F., Li, Z.L., “Towards a local split window method over land surfaces”, International Journal of Remote Sensing, 11: 369–393, (1990).
  • Prata, A.J., Platt, C.M.R., “Land surface temperature measurements from the AVHRR”, 5th AVHRR Data Users’ Meeting, Tromso (Norway), 24–28 June 1991 (Darmstadt: EUMETSAT), 433–438, (1991).
  • Kerr, Y.H., Lagouarde, J.P., Imbernon, J., “Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm”, Remote Sensing of Environment, 41: 197–209, (1992).
  • Coll, C., Caselles, V., Schmugge, T.J. “Estimation of land surface emissivity differences in the split- window channels of AVHRR”, Remote Sensing of Environment, 48:127–134, (1994).
  • Ulivieri, C., Castronouvo, M.M., Francioni, R., Cardillo, A., “A split-window algorithm for estimating land surface temperature from satellites”, Advances in Space Research, 14: 59–65, (1994).
  • Becker, F., “The impact of spectral emissivity on the measurement of land surface temperature from a satellite”, Sensing, 8: 1509-1522, (1987). Journal of Remote
  • Kawamura, H., Edamatsu. Y., “Better understanding of earth environment”, International Geoscience and Remote Sensing Symposium, 3: 1473 – 1475, (1993).
  • Khomarudin, M.R., Bey, A., Risdiyanto, I., “Estimation of air temperature using remote sensing based a thermal diffusivity approach”, International Journal of Remote Sensing and Earth Sciences, 3: 24-30, (2006).
  • Riddering, J.P., Queen, L.P., “Estimating near- surface air temperature with NOAA –AVHRR”, Can. J. Remote Sensing, 32: 33–43, (2006).
  • Stisen, S., Sandholt, I., Nİrgaard, A., Fensholt, R., Eklundh, L., “Estimation of diurnal air temperature using MSG SEVIRI data in West Africa”, Remote Sensing of Environment, 110: 262-274, (2007).
  • Vancutsem, C., Ceccato, P., Dinku, T., Connor, S.J., “Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa”, Remote Sensing of Environment, 114: 449-465, (2010).
  • Lakshmi, V., Czajkowski, K., Dubayah, R., Susskind, J., “Land surface air temperature mapping using TOVS and AVHRR”, International Journal of Remote Sensing, 22: 643 – 662, (2001).
  • Jang, J.D., Viau, A.A., Anctil, F., “Neural network estimation of air temperatures from AVHRR data”, International Journal of Remote Sensing, 25: 4541-4554, (2004).
  • Şorman, A.Ü., Doğanoğlu, V., “Determination of flood inundated areas using RS techniques in the Western Black Sea Region of Turkey”, Turkish Journal Engineering Environment, 25: 379 – 389, (2001).
  • Vogt, J.V., “Land surface temperature retrieval from NOAA-AVHRR data, in: G. D’Souza et al. (Eds.), Advances in the Use of NOAA-AVHRR Data for Land Applications”, Kluwer Academic, Dordrecht- The Netherlands, 125-151, (1996).
  • Caselles, V., Coll, C., Valor, E., “Land surface emissivity and temperature determination in the whole HAPES-Sahel area from AVHRR data”, International Journal of Remote Sensing, 18: 1009-1027, (1997).
  • Chrysoulakis, N., Cartalis, C., “Improving the estimation of land surface temperature for the region of Greece: Adjustment of a split window algorithm to account for the distribution of precipitable water”,
  • International Journal of Remote Sensing, 23: 871– 880, (2002).
  • Kendall, M.G., Stuart, A., “The Advanced Theory of Statistics”, Charles Griffin & Company Press, London, over the Sahel”, Atmospheric Research, 47-48: 651- 670, (1998). (1963).
  • Laurent, H., Jobard, I., Toma, A., “Validation of satellite and ground-based estimates of precipitation
  • Appendix- 1.Air temperature values depends on meteorological and satellite data City Month(2002)
  • Meteorological air temperature(ºK)
  • Satellite air temperature(ºK) Adana January February March April May June July August September October November December Ankara January February March April May June July August September October November December Balıkesir January February March April May June July August İzmir Samsun January February March April May June July August September October November December Şanlıurfa January February March April May June July August September October November December Van
There are 39 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Physics
Authors

Mehmet Sahın

Vedat Pestamalcı This is me

Bekir Yigit Yıldız This is me

Ozan Senkal This is me

Publication Date April 16, 2012
Published in Issue Year 2012 Volume: 25 Issue: 2

Cite

APA Sahın, M., Pestamalcı, V., Yıldız, B. Y., Senkal, O. (2012). Forecasting of Air Temperature Based on Remote Sensing. Gazi University Journal of Science, 25(2), 327-335.
AMA Sahın M, Pestamalcı V, Yıldız BY, Senkal O. Forecasting of Air Temperature Based on Remote Sensing. Gazi University Journal of Science. April 2012;25(2):327-335.
Chicago Sahın, Mehmet, Vedat Pestamalcı, Bekir Yigit Yıldız, and Ozan Senkal. “Forecasting of Air Temperature Based on Remote Sensing”. Gazi University Journal of Science 25, no. 2 (April 2012): 327-35.
EndNote Sahın M, Pestamalcı V, Yıldız BY, Senkal O (April 1, 2012) Forecasting of Air Temperature Based on Remote Sensing. Gazi University Journal of Science 25 2 327–335.
IEEE M. Sahın, V. Pestamalcı, B. Y. Yıldız, and O. Senkal, “Forecasting of Air Temperature Based on Remote Sensing”, Gazi University Journal of Science, vol. 25, no. 2, pp. 327–335, 2012.
ISNAD Sahın, Mehmet et al. “Forecasting of Air Temperature Based on Remote Sensing”. Gazi University Journal of Science 25/2 (April 2012), 327-335.
JAMA Sahın M, Pestamalcı V, Yıldız BY, Senkal O. Forecasting of Air Temperature Based on Remote Sensing. Gazi University Journal of Science. 2012;25:327–335.
MLA Sahın, Mehmet et al. “Forecasting of Air Temperature Based on Remote Sensing”. Gazi University Journal of Science, vol. 25, no. 2, 2012, pp. 327-35.
Vancouver Sahın M, Pestamalcı V, Yıldız BY, Senkal O. Forecasting of Air Temperature Based on Remote Sensing. Gazi University Journal of Science. 2012;25(2):327-35.