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http://dx.doi.org/10.5389/KSAE.2016.58.4.037

A Study on Establishment of Appropriate Observation Time for Estimation of Daily Land Surface Temperature using COMS in Korea Peninsula  

Lee, Yong Gwan (Konkuk university, Department of Civil, Environmental and Plant Engineering)
Jung, Chung Gil (Konkuk university, Department of Civil, Environmental and Plant Engineering)
Lee, Ji Wan (Konkuk university, Department of Civil, Environmental and Plant Engineering)
Kim, Seong Joon (Konkuk university, Department of Civil, Environmental and Plant Engineering)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.58, no.4, 2016 , pp. 37-46 More about this Journal
Abstract
This study is to estimate COMS (Communication, Ocean and Meteorological Satellite) daily land surface temperature (LST) of Korea Peninsula from 15 minutes interval COMS LST (COMS LST-15) satellite data. Using daily observed LST data of Automated Agriculture Observing System (AAOS) 11 stations from January 2013 to May 2015, the COMS daily LST was compared and validated. For the representative time for daily mean LST value from COMS LST-15, the time of 23 : 45 and 0:00 showed minimum deviations with AAOS daily LST. The time zone from 23 : 45 to 1:15 and from 7 : 30 to 9 : 45 showed high determination coefficient (R2) of 0.88 and 0.90 respectively. The daily COMS LST by averaging COMS LST-15 of the day showed R2 of 0.83. From the 5 cases of results, the COMS daily LST could be extracted from the average LST by using 15 minutes data from 7 : 30 to 9 : 45.
Keywords
AAOS; COMS; land surface temperature; remote sensing;
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Times Cited By KSCI : 12  (Citation Analysis)
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1 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 (in Korean).   DOI
2 Choi, S.W., S.J. Lee, J. Kim, B.L. Lee, K.R. Kim and B.C. Choi, 2014. Agrometeorological observation circumstances of KMA and their improvement plan. Proceedings of Autumn Meeting of KMS 315-316 (in Korean).
3 Choi, S.W., S.J. Lee, J. Kim, B.L. Lee, K.R. Kim, and B.C. Choi, 2015. Agrometeorological Observation Environment and Periodic Report of Korea Meteorological Administration: Current Status and Suggestions. Korean Journal of agricultural and Forest Meteorology 17(2): 144-155 (in Korean).   DOI
4 Gillespie, A., S. Rokugawa, T. Mastsunaga, J.S. Cothern, S. Hook and A. B. Kahle, 1998. A Temperature and Emissivity Separation Algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Images. IEEE Transactions on Geoscience and Remote Sensing 36(4): 1113-1126.   DOI
5 Hong, S.H., J.H. Kim and J.S. Ha, 2010. Possibility of applying infrared background threshold values for detecting asian dust in spring from geostationary satellite. Korean Journal of Remote Sensing 26(4): 387-394 (in Korean).   DOI
6 Hong, Ki-OK, Myoung-Seok Suh, and J-H Kang, 2009. Development of a Land Surface Temperature-Retrieval Algorithm from MTSAT-1R Data. Asia-Pacific Journal of Atmospheric Sciences 45(4): 411-421.
7 Jimenez-Munoz, J.C. and J.A. Sobrino, 2003. A. Generalized single-channel method for retrieving land surface temperature from remote sensing data, Journal of Geophysical Research 108: 4688-4695.   DOI
8 Kim, D.K., M.S. Kim, and H.H. Yoo, 2015. Analysis of Red Tide Movement in the South Sea of Gyeongnam Province Using the GOCI Images of COMS. Journal of the Korean Society for Geospatial Information Science 23(1): 65-71.
9 Kim, M.J., J. Kim, and J.M. Yoon, 2014. Estimation of Surface Reflectance by Utilizing Single Visible Reflectance from COMS Meteorological Imager, Korean Journal of Remote Sensing 30(5): 627-639 (in Korean).   DOI
10 Kwon, H.-J., J. Kim, J.-I., Yoo, J.-Y., Yoon, and J.-W. Hong, 2011. A Study on the suitability for relocating of agrometeorological observation equipment. Korea Meteorological Administration: 59 (In Korean).
11 Na, S.I., and J.W. Park, 2008. Regional scale evapotranspiration mapping using landsat 7 ETM+ land surface temperature and NDVI space, Journal of Korean Society of Agricultural Engineering 50(3): 115-123.   DOI
12 Li, Z.L., B.H. Tang, H. Wu, H. Ren, G. Yan, Z. Wan, I.F. Trigo and J. A. Sobrino, 2013. Satellitederived land surface temperature: Current status and perspectives. Remote Sensing of Environment 131: 14-37.   DOI
13 McMillin, L.M., 1975. Estimation of sea surface temperature from two infrared window measurements with different absporptions, Journal of Geophysical Research 80: 5113-5117.   DOI
14 National Institute of Meteorological Sciences, 2007. Development of Meterological Data Processing System of Communication, Ocean and Meteorological Satellite, Korean Meteorological Administration.
15 Park, J.W., J.S. Kim, and S.I. Na, 2006. Analysis of the relationship between land cover and land surface temperature at Cheongju region using landsat images in summer day, Journal of Korean Society of Agricultural Engineering 48(5): 39-48.   DOI
16 Park, M.H., J.S. Lee, and J.I Jung, 2008. A Relationship analysis among Land Surface Temperature and NDVI in Hampyeong Bay Using Landsat TM/ETM+ Satellite Images. Journal of the Korean cadastre information association 10(2): 107-115.
17 Park, S.H., H.S. Jung, and H.S. Shin, 2013. An Efficient Method to Estimate Land Surface Temperature Difference (LSTD) Using Landsat Satellite Images. Korean Journal of Remote Sensing 29(2): 197-207 (in Korean).   DOI
18 Park, K.H. and M.S. Suh, 2014. Improvement of infrared channel emissivity data in COMS observation area from recent MODIS data(2009-2012). Korean Journal of Remote Sensing 30(1): 109-126.   DOI
19 Quan, H.C. and B.G. Lee, 2009. Analysis of Relationship Between LST and NDVI using Landsat TM Images on the City Areas of Jeju Island. Journal of The Korean Society for Geo-Spatial Information System 17(4): 39-44.
20 Qin, Z., A. Karnieli and P. Berliner, 2001. A mono-window algorithm for retriving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing 22(18): 3719-3746.   DOI
21 Sobrino, J.A., Z.L. Li, M.P. Stoll and F. Becker, 1994. Improvements in the Split-Window Technique for Land Surface Temperature Determination. IEEE Transactions on Geoscience and Remote Sensing 32(2): 243-253.   DOI
22 Vidal, A., 1991. Atmospheric and emissivity correction of land surface temperature measured from satellite using ground measurements or satellite data. International Journal of Remote Sensing 12: 2449-2460.   DOI
23 Yoon, S., J.-H. Ryu, J.-E. Min, Y.-H. Ahn, S. Lee and J.-S. Won, 2009. Monitoring of the Sea Surface Temperature in the Saemangeum Sea Area Using the Thermal Infrared Satellite Data. Korean Journal of Remote Sensing 25(4): 339-357 (in Korean with English abstract).   DOI
24 Zhukov, B., E. Lorenz, D. Oertel, M. Wooster and G. Roberts, 2006. Spaceborne detection and characterization of fires during the bi-spectral infrared detection (BIRD) experimental small satellite mission (2001-2004). Remote Sensing of Environment 100: 29-51.   DOI