참고문헌
- Bae, D.H., H.M. Kim, S.R. Ha. 2018. The factor analysis of Land Surface Temperature(LST) change using MODIS imagery and panel data. Journal of the Korean Association of Geographic Information Studies. 21(1):46-56 https://doi.org/10.11108/KAGIS.2018.21.1.046
- Baek, J.J. and M.H. Choi. 2012. Availability of Land Surface Temperature from the COMS in the Korea Peninsula. Journal of Korea Water Resources Association. 45(8):755-765 https://doi.org/10.3741/JKWRA.2012.45.8.755
- Baek, J.J. and M.H. Choi. 2015. Evaluation of remotely sensed actual evapotranspiration products from COMS and MODIS at two different flux tower sites in Korea. International Journal of Remote Sensing. 36(1):375-402. https://doi.org/10.1080/01431161.2014.998349
- Becker F. 1987. The impact of spectral emissivity on the measurement of land surface temperature from a satellite. Remote Sensing. 8(10):1509-1522. https://doi.org/10.1080/01431168708954793
- Benali A., A.C. Carvalho, J.P. Nunes, N. Carvalhais, and A. Santos. 2012. Estimating air surface temperature in Portugal using MODIS LST data. Remote Sensing of Environment. 124(1):108-121. https://doi.org/10.1016/j.rse.2012.04.024
- Byun, M.J., K.S. Han, and Y.S. Kim. 2004. A new look at the statistical method for remote sensing of daily maximum air temperature. Korean Journal of Remote Sensing. 20(2):65-76 https://doi.org/10.7780/kjrs.2004.20.2.65
- Colombi A., C.D. Michele, M. Pepe, and A. Rampini. 2007. Estimation of daliy mean air temperature from MODIS LST in Alpine areas. EARSeL eProceedings. 6(1):2007.
- Duan S.B., Z.L. Li, H. Li, F.M. Gottsche, H. Wu, W. Zhao, P. Leng, X. Zhang, and C. Coll. 2019. Validation of Collection 6 MODIS land surface temperature product using in situ measurement. Remote Sensing of Environment. 225:16-29. https://doi.org/10.1016/j.rse.2019.02.020
- Hong, H.C., W.J. Kim, J.Y. Kim, and B.J. Kim. 2013. Analysis of demand characteristics for long-term forecasts. Journal of Climate Research. 8(2):117-126 https://doi.org/10.14383/cri.2013.8.2.117
- IPCC(Intergovernmental Panel on Climate Change). 2007. Climate change 2007: The physical science basis, IPCC contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (Eds.). Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. p.996.
- Jee, J.B., K.T. Lee, and Y.J. Choi. 2014. Analysis of Land Surface Temperature from MODIS and Landsat satellites using by AWS temperature in capital area. Korean Journal of Remote Sensing. 30(2):315-329 https://doi.org/10.7780/kjrs.2014.30.2.13
- Jeon, M.J., and Y.S. Cho. 2015. An analysis of a winter-time temperature change and an extreme cold waves frequency in Korea. Journal of Climate Change Research. 6(2):87-94 https://doi.org/10.15531/ksccr.2015.6.2.87
- Jo, M.H., K.J. Lee, and W.S. Kim. 2001. A study on the spatial distribution characteristic of urban surface temperature using remotely sensed data and GIS. Journal of the Korean Association of Geographic Information Studies. 4(1):57-66
- Kim, D.Y. 2015a. Development of estimation algorithm of near-surface air temperature for warm and cold seasons in Korea. Journal of the Korean Society for Geospatial Information Science. 23(4):11-16 https://doi.org/10.7319/kogsis.2015.23.4.011
- Kim, D.Y. 2015b. Development of statistical estimation model for seasonal air temperature over Korea. Journal of Korean Society of Environment Technology. 16(5):369-375
- KMA(Korea Meteorological Administration). 2018. Comparison of heat waves between 2018 and 1994. p.4-8
- KMA(Korea Meteorological Administration). 2019. Weather characteristics in 2018
- Lakshmi V., K. Czajkowski, R. Dubayah, and J. Susskind. 2001. Land surface air temperature mapping using TOVS and AVHRR. International Journal of Remote Sensing. 22(4):643-662. https://doi.org/10.1080/01431160050505900
- Lee, C.S., K.S. Han, J.M. Yeom, B.G. Song, and Y.S. Kim. 2007. Thermal spatial representativity of meteorological stations using MODIS Land Surface Temperature. Journal of the Korean Association of Geographic Information Studies. 10(3):123-133
- Lee, H.M., H.C. Jung, J.E. Wie, and B.K. Moon. 2018. Climate over the Korean Peninsula: Heat wave, cold wave, drought, and ocean warming. Journal of Science and Science Education. 43(1):13-22
- Lee, N.Y., and Y.S. Cho. 2015. Estimation of the medical costs incurred by the elderly in Korea due to heat waves and analysis of the causes for expenditure. Journal of Environmental Policy and Administration. 23(2):153-172 https://doi.org/10.15301/jepa.2015.23.2.153
- Lee, S.H., J.S. Ahn, H.D. Kim, and S.J. Hwang. 2009. Comparison study on the estimation algorithm of Land Surface Temperature for MODIS data at the Korean Peninsula. Journal of the Environmental Sciences. 18(4):355-367 https://doi.org/10.5322/JES.2009.18.4.355
- Lee, Y.G., S.J. Kim. 2016. The modified SEBAL for mapping daily spatial evapotranspiration of South Korea using three flux towers and Terra MODIS data. Remote Sensing. 8(12):983. https://doi.org/10.3390/rs8120983
- Lee, Y.G., S.H. Kim, S.R. Ahn, M.H. Choi, K.S. Lim, and S.J. Kim. 2015. Estimation of spatial evapotranspiration using Terra MODIS satellite image and SEBAL model - A Case of Yongdam dam watershed -. Journal of the Korean Association of Geographic Information Studies. 18(1):90-104 https://doi.org/10.11108/kagis.2015.18.1.090
- Mcmillin, L.M. 1975. Estimation of sea surface temperatures from two infrared window measurements with different absorption. Oceans. 80(36):5113-5117. https://doi.org/10.1029/JC080i036p05113
- Min, J.S., M.H. Lee, J.B. Jee, and M. Jang. 2016. A study of the method for estimating the missing data from weather measurement instrument. Journal of Digital Convergence. 14(8):245-252 https://doi.org/10.14400/JDC.2016.14.8.245
- Moriasi, D.N., J.G. Arnold, M.W. Van Liew, R.L. Binger, R.D. Harmel, and T.L. Veith, 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE. 50(3):885-900. https://doi.org/10.13031/2013.23153
- NEMA(National Emergency Management Agency). 2013. Natural disaster yearbook. p.33-34
- Neteler, M. 2010. Estimating daily land surface temperatures in mountainous environments by reconstructed MODIS LST data. Remote Sensing. 2(1):333-351. https://doi.org/10.3390/rs1020333
- NIMR(National Institute of Meteorological Sciences). 2018. Climate change over 100 years on the Korean Peninsula.
- Park, S.Y. 2009. Estimating air temperature over mountainous terrain by combining hypertemporal satellite LST data and multivariate geostatistical methods. Journal of the Korean Geographical Society. 44(2):105-121
- Price, J.C. 1984. Land surface temperature measurements from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer. Journal of Geophysical Research: Atmospheres. 89(5):7231-7237. https://doi.org/10.1029/JD089iD05p07231
- Park, K.H., B.G. Song, and J.E. Park. 2016. Analysis on the effects of land cover types and topographic features on heat wave days. Journal of the Korean Association of Geographic Information Studies. 19(4):76-91 https://doi.org/10.11108/kagis.2016.19.4.076
- Prihodko L., and S.N. Goward. 1997. Estimation of air temperature from remotely sensed surface observations. Remote Sensing of Environment. 60(3):335-346. https://doi.org/10.1016/S0034-4257(96)00216-7
- Seguin, B. 1991. Use of surface temperature in agrometeorology. Applications of Remote Sensing to Agrometeorology. p.221-240.
- Shin, H.S., E.M. Chang, and S.W. Hong. 2014. Estimation of near surface air temperature using MODIS Land Surface Temperature data and geostatistics. Journal of Korea Spatial Information Society. 22(1):55-63
- Suga, Y., H. Ogawa, K. Ohno, and K. Yamada. 2003. Detection of surface temperature from Landsat-7/ETM+. Advances in Space Research. 32(11):2235-2240. https://doi.org/10.1016/S0273-1177(03)90548-5
- Suh, E.H. 2018. IBM SPSS Statistics. Free Academy Inc., South Korea, p.203-204
- Snyder, W.C., Z. Wan, Y. Zhang, and Y.Z. Feng. 1998. Classification-based emissivity for land surface temperature measurement from space. International Journal of Remote Sensing. 19(14):2753-2774. https://doi.org/10.1080/014311698214497
- Vancutsem, C., P., Ceccato, T., Dinku, and S.J., Connor. 2010. Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa. Remote Sensing of Environment. 114(2):449-465. https://doi.org/10.1016/j.rse.2009.10.002
- Wan, Z., and J. Dozier. 1996. A generalized split-window algorithm for retrieving Land-Surface Temperature from space. IEEE Transactions on Geoscience and Remote Sensing. 34(4):892-905. https://doi.org/10.1109/36.508406
- Wan, Z. 1997. Land Surface Temperature measurements from EOS MODIS data.
- Wan, Z. 1999. MODIS Land-Surface Temperature Algorithm Theoretical Basis Document (LST ATBD). p.13-17.
- Yan, H., J. Zhang, Y. Hou, and Y. He. 2009. Estimation of air temperature from MODIS data in east China. International Journal of Remote Sensing. 30(23):6261-6275. https://doi.org/10.1080/01431160902842375
- Yang, Y.Z., W.H. Cai, and J. Yang. 2017. Evaluation of MODIS Land Surface Temperature data to estimate nearsurface air temperature in northeast China. Remote Sensing. 9(5):410. https://doi.org/10.3390/rs9050410
- Yoo, C.H., J.H. Im, S.Y. Park, and L.J. Quackenbush. 2018. Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data. ISPRS Journal of Photogrammetry and Remote Sensing. 137(1):149-162 https://doi.org/10.1016/j.isprsjprs.2018.01.018
- Yoon, M.H., and T.M. Ahn. 2009. An application of satellite image analysis to visualize the effects of urban green areas on temperature. Journal of the Korean Institute of Landscape Architecture. 37(3):46-53
- Zeng, L., B.D. Wardlow, T. Tadesse, J. Shan, M.J. Hayes, D. Li, and D. Xiang. 2015. Estimation of daily air temperature based on MODIS Land Surface Temperature products over the corn belt in the US. Remote Sensing. 7(1):951-970. https://doi.org/10.3390/rs70100951