Asia-Pacific Journal of Atmospheric Sciences

Korean Meteorological Society (한국기상학회)
권호 표지

Temporal Variations of Vegetation in PAL Data(1982-2000) over East Asia

기상위성 탐사 자료(PAL: 1982${\sim}$2000)에 나타난 동아시아 지역 식생의 시간 변동

Suh, Myoung-Seok;Nam, Jae-Cheol
서명석;남재철

  • Published : 20030200
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Abstract

This paper examines the temporal variations of vegetation over east Asian region using a monthly and 10-day PAL(Pathfinder AVHRR Land) data sets corrected by Suh et al.(2002). The PAL data sets were derived from the advanced very high resolution radiometer(AVHRR) onboard afternoon NOAA series satellites(NOAA-7, 9, 11, and 14). The analysis period and months are from 1982 to 2000 and February to November, respectively. The normalized difference vegetation index(NDVI) over east Asia showed very similar interannual variations regardless of the months and regions, while the intensity of interannual variations are highly dependent on the geographic location and months. The positive and negative anomalies of NDVI are strongly correlated with those of the surface temperature. The NDVI over east Asia showed an increasing trend especially in the former 9-year(1982${\sim}$ 1990), while the latter 9-year(1991${\sim}$2000: except for 1994) showed a negligible trend. This linear increasing trend is about 4${\sim}$8% over a 9-year period. However, NDVI over Mongolian region showed a decreasing trend in the recent 9-year, especially in the spring time. The 3-year averaged temporal profiles of NDVI showed that growing period was extended(about 10days) through an early start of growing-up timing in spring and a prolongation of the declining phase in autumn over the 35${\sim}$45$^{\circ}$N region. Also, the amount of vegetation was increased in east Asia during the growing season.

Keywords

References

  1. 서명석, 곽종흠, 김희수, 김맹기, 2001, 극궤도 기상위성 자료를 이용한 한반도의 지면피복 분류, 한국지구과 학회지, 22(2), 138-146.
  2. 서명석, 서애숙, 2002, 동아시아 지역 지면탐사 기상위성 자료(PAL)의 특성, 한국기상학회지 투고중
  3. Carlson, T. N., and D. A. Riply, 1997: On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62, 241-252. https://doi.org/10.1016/S0034-4257(97)00104-1
  4. Defries, R. S., Hansen, M., and Townshend, J. R. G., 1995: Global discrimination of land cover types from matrics derived from AVHRR pathfinder data. Remote Sensing of Environment, 54, 209-222. https://doi.org/10.1016/0034-4257(95)00142-5
  5. K.-J., H.-M. Oh, and K.-Y. Kim, 2001: Inter-annual and intra-annual variabilities of NDVI, LAI and Ts estimated by AVHRR in Korea, J. Kor. Soc. of Remote Sensing, 17, 111-120.
  6. Hall, F. G., J. R. Townshend, and E. T. Engman, 1995: Status of remote sensing algorithm for estimation of land surface state parameters. Remote Sensing of Environment, 51, 138-156. https://doi.org/10.1016/0034-4257(94)00071-T
  7. IPCC, 2001: Climate change 2001: The scientific basis. Vol. 1, Cambridge University press, 470pp.
  8. Jones, P.D., T.J. Osborn, K.R. Briffa, C.K. Folland, E.B. Horton, L.V. Alexander, D.E. Parker, and N.A. Rayner, 2001: Adjusting for sampling density in grid box land and ocean surface temperature time series. J. Geophys. Res., 106, . https://doi.org/10.1029/2000JD900564
  9. Keeling, C. D., J. F. S. Chin, and T. P. Whorf, 1996: Increased activity of northern vegetation inferred from atmospheric CO2 measurements, Nature, 382, 146-149. https://doi.org/10.1038/382146a0
  10. Lau, K. M, 1992: East Asian summer monsoon rainfall variability and climate teleconnection. J. Meteor. Soc. Japan, 70, 211-240.
  11. Myneni, R. B., C. J. Tucker, G. Asrar, and C. D. Keeling, 1998: Interannual variations in satellite-sensed vegetation index data from 1981 to 1991. J. Geophys. Res., 103, 6145-6160. https://doi.org/10.1029/97JD03603
  12. Pan Z., E. Takle, M. Segal, and R. Arritt, 1999: Simulation of potential impacts of man-made land use/cover change on U.S. summer climate under various synoptic regimes. J. Geophys. Res., 104, 6515-6528 https://doi.org/10.1029/98JD02310
  13. Peijun, S., J. Chen, and H. Chunyang, 2000: Land use/ cover change detection with change vector analysis (CVA) - Change magnitude threshold determination, Proceedings of Int. Symposium on remote sensing, 307-318.
  14. Sellers, P. J., and Coauthors, 1995, Remote sensing of the land surface for studies of global change: Modelsalgorithms- experiments. Remote Sensing of Environment, 51, 3-26. https://doi.org/10.1016/0034-4257(94)00061-Q
  15. Smith, P. M., S. N. V. Kalluri, S. D. Prince, and R. Defries, 1997: The NOAA/NASA Pathfinder 8-km land data set. Photogrammetric Engineering and Remote Sensing, 63(1), 12-31.
  16. Tucker, C. J., J. R. G. Townshend, and T. E. Goff, 1985: African land-cover classification using satellite data. Science, 227, 369-375. https://doi.org/10.1126/science.227.4685.369
  17. Xue, Y., 1996: The impact of desertification in the Mongolian and the Inner Mongolian grassland on the regional climate. J. Climate, 9, 2173-2189. https://doi.org/10.1175/1520-0442(1996)009<2173:TIODIT>2.0.CO;2
  18. Zhu, Z-L., and L. Yang, 1996: Characteristics of the 1km AVHRR data set for North America, Int. J. of remote sensing, 17(10), 1915-1924. https://doi.org/10.1080/01431169608948747