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Study of Snow Depletion Characteristics at Two Mountainous Watersheds Using NOAA AVHRR Time Series Data

  • Shin, Hyungjin (Water Resources Management Research Team, Water Resources Research Center, Korea Water Resources Corporation) ;
  • Park, Minji (Dept. of Water Environment Research, Water Quality Control Center, National Institute of Environmental Research) ;
  • Chae, Hyosok (Water Resources Management Research Team, Water Resources Research Center, Korea Water Resources Corporation) ;
  • Kim, Saetbyul (Dept. of Civil and Environmental System Engineering, Konkuk University) ;
  • Kim, Seongjoon (Dept. of Civil and Environmental System Engineering, Konkuk University)
  • 투고 : 2013.12.07
  • 심사 : 2013.01.10
  • 발행 : 2013.06.30

초록

Spatial information of snow cover and depth distribution is a key component for snowmelt runoff modeling. Wide snow cover areas can be extracted from NOAA AVHRR or Terra MODIS satellite images. In this study eight sets of annual snow cover data (1997-2006) in two mountainous watersheds (A: Chungju-Dam and B: Soyanggang-Dam) were extracted using NOAA AVHRR images. The distribution of snow depth within the Snow Cover Area (SCA) was generated using snowfall data from ground meteorological observation stations. Snow depletion characteristics for the two watersheds were analyzed snow distribution time series data. The decreased pattern of SCA can be expressed as a logarithmic function; the determination coefficients were 0.62 and 0.68 for the A and B watersheds, respectively. The SCA decreased over 70% within 10 days from the time of maximum SCA.

키워드

참고문헌

  1. Allen, R.C., P.A. Durkee and C.H. Wash, 1990. Snow/cloud discrimination with multi-spectral satellite measurements, Journal of Applied Meteorology, 29: 994-1004. https://doi.org/10.1175/1520-0450(1990)029<0994:SDWMSM>2.0.CO;2
  2. Burrough, P.A. and R.A. McDonnell, 1998. Creating continuous surfaces from point data, In: Burrough, P.A., Goodchild, M.F., McDonnell, R.A., Switzer, P., Worboys, M. (Eds.), Principles of Geographic Information Systems, Oxford University Press, Oxford, UK.
  3. Cracknel, P., 1997. The advanced very high resolution radiometer, Taylor and Francis Pub.
  4. Gesell, G., 1989. An algorithm for snow and ice detection using AVHRR data, An extension to the APOLLO software package, International Journal of Remote Sensing, 10: 897-905. https://doi.org/10.1080/01431168908903929
  5. Harrison, A. and R. Lucas, 1989. Multi-spectral classification of snow using NOAA AVHRR imagery, International Journal of Remote Sensing, 10: 907-916. https://doi.org/10.1080/01431168908903930
  6. Hartman, M.D., J.S. Baron, R.B. Lammers, D.W. Cline, L.E. Band, G.E. Liston and C. Tague, 1999. Simulations of snow distribution and hydrology in a mountain basin, Water Resour. Res., 35(5): 1587-1603. https://doi.org/10.1029/1998WR900096
  7. Kim, Y.S., N.R. Kim and K.W. Park, 2011. Development of snowfall retrieval algorithm by combining measurements form CloudSat, AQUA and NOAA satellites for the Korean peninsula, Korean Journal of Remote Sensing, 27(3): 277-288. https://doi.org/10.7780/kjrs.2011.27.3.277
  8. Liu, Y., L. Wang and S. Yazaki, 1999. Snow cover monitoring with AVHRR data, Recent Progress in Studies of Asian Monsoon Mechanism, Chinese Meteorological Press. :92-102.
  9. Lucas, R.M., A.W. Harrison and E.C. Barrett, 1989 A multispectral snow area algorithm for operational 7-day snow cover monitoring, Remote Sensing and Large Scale Global Processes, Proc. IAHS 3rd Int. Assembly, MD, IAHS Pub. 186: 161-166.
  10. Martinec, J. and A. Rango, 1986. Parameter values for snowmelt runoff models, J. Hydrol., 84: 197-219. https://doi.org/10.1016/0022-1694(86)90123-X
  11. Park, S.H., M.J. Lee and H.S. Jung, 2012. Analysis on the snow cover variations at Mt. Kilimanjaro using Landsat satellite images, Korean Journal of Remote Sensing, 28(4): 409-420. (in Korean with English abstract) https://doi.org/10.7780/kjrs.2012.28.4.5
  12. Pomeroy, J.W. and E. Burn, 2001. Physical properties of snow, In: Snow Ecology: An interdisciplinary examination of snow-covered ecosystems, H. Jones, J.W. Pomeroy, D.A. Walker, and R.W. Hoham (Editors). Cambridge University Press, London, :45-118.
  13. Rango, A. and J. Martinec, 1979. Application of a snowmelt-runoff model using landsat data, Nord. Hydrol., 10: 228-235.
  14. Rango, A., J. Martinec, J. Forster and D. Marks, 1983. Resolution in operational remote sensing of snow cover, IAHS Publ. 145: 371-381.
  15. Romanov, P., G. Gutman and I. Csiszar, 2000. Automated monitoring of snow cover over North America with multispectral satellite data, Journal of Applied Meteorology, 39: 1866-1880. https://doi.org/10.1175/1520-0450(2000)039<1866:AMOSCO>2.0.CO;2
  16. Shin, H.J., G.A. Park and S.J. Kim, 2007. Extraction of snowmelt parameters using NOAA AVHRR and GIS technique for 5 river basins in South Korea, Korean Journal of Remote Sensing, 23(2): 119-124. (in Korean with English abstract) https://doi.org/10.7780/kjrs.2007.23.2.119
  17. Simpson, J.J., J.R. Stitt and M. Sienko, 1998. Improved estimates of the aerial extent of snow cover from AVHRR Data, Journal of Hydrology, 204: 1-23. https://doi.org/10.1016/S0022-1694(97)00087-5
  18. Yeom, J.M., K.S. Han and G.L. Lee, 2009. The characteristics of visible reflectance and infra red band over snow cover area, Korean Journal of Remote Sensing, 25(2): 193-203. (in Korean with English abstract) https://doi.org/10.7780/kjrs.2009.25.2.193

피인용 문헌

  1. Spatiotemporal variability of snowfall and its concentration in northern Xinjiang, Northwest China vol.139, pp.3, 2020, https://doi.org/10.1007/s00704-019-02994-7