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http://dx.doi.org/10.12652/Ksce.2010.30.3B.295

Analysis of Spatial-temporal Variability of NOAA/AVHRR NDVI in Korea  

Kim, Gwangseob (경북대학교 공과대학 건축토목공학부)
Kim, Jong Pil (경북대학교 공과대학 건축토목공학부)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.30, no.3B, 2010 , pp. 295-303 More about this Journal
Abstract
The variability of vegetation is strongly related to the variability of hydrometeorological factors such as precipitation, temperature, runoff and so on. Analysis of the variability of vegetation will aid to understand the regional impact of climate change. Thus we analyzed the spatial-temporal variability of NOAA(National Oceanic and Atmospheric Administration)/AVHRR(Advanced Very High Resolution Radiometer) NDVI(Normalized Difference Vegetation Index). In the results from Mann-Kendall test, there is no significant linear trend of annual NDVI from 1982 to 2006 in the most area except the downward trend on the significance level 90% in the Guem-river basin area. In addition, using EOF(Empirical Orthogonal Function) analysis, the variability of NDVI in the region of higher latitude and altitude is higher than that in the other region since the spatial variability of NDVI follows the latitudinal gradient. Also we could get higher NDVI in June, July, August and September. We had the highest NDVI in Han-river basin area and the lowest in Je-Ju island.
Keywords
NDVI; AVHRR; trend analysis; mann-kendall test; empirical orthogonal function;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 기상청(2008) 기후변화의 이해와 기후변화 시나리오 활용(1). pp. 9-10.
2 김경탁, 박정술(2006) 식생지수와 가뭄지수의 상관성 분석. 한국습지학회논문집, 한국습지학회, 제8권 제1호, pp. 49-58.
3 박정술, 김경탁(2009) 가뭄모니터링을 위한 MODlS NDVl의 활용성 평가: 가뭄지수와의 비교를 중심으로. The Journal of GIS Association of Korea, Vol. 17, No. 1, pp. 117-129.   과학기술학회마을
4 신사철, 김철준(2003) 우리나라에서의 가뭄 발생 지역 판별을 위한 식생지수(NDVI)의 적용성에 관한 연구, 한국수자원학회논문집, 한국수자원학회, 제36권 제5호, pp. 839-849.   과학기술학회마을
5 신사철, 황만하, 고익환, 이상진(2006) 식생 및 기온정보를 조합한 증발산량 산정을 위한 간편법 제안, 한국수자원학회논문집, 한국수자원학회, 제39권 제 4호, pp. 363-372.   과학기술학회마을
6 유철상, 김대하, 김상단(2006) EOF 해석 및 다변량시계열 모형을 이용한 농업가뭄 대비능력의 평가, 한국수자원학회논문집, 한국수지원학회, 제39권 제7호, pp. 617-626.   과학기술학회마을
7 Avely, T. E. and Berlin, G.L. (1992) Fundamentals of remote sensing and airphoto interpretation. Macmillan Publishing Company. New York, pp. 476.
8 Baldi, G., Nosetto, M.D., Aragon, R., Aversa, F., Paruelo, J.M., and Jobbagy, E.G (2008) Long-term satellite NDVI data sets: Evaluating their ability to detect ecosystem functional changes in Soulth America. Sensors, Vol. 8, pp. 5397-5425.   DOI
9 Ding, M., Zhang, Y., Liu, L., Zhang, W., Wang, Z., and Bal, W. (2007) The relationship between NDVl and precipitation on the Tibetan Plateau. Journal of Geographical Sciences, Vol. 17, No. 3. pp. 259-268.   DOI   ScienceOn
10 Eidenshink, J.C. (1992) The 1990 conterminous US AVHRR dataset. Photogrammetric Engineering and Remote Sensing, Vol. 58, pp. 809-813.
11 El Saleous, N.Z., Vermote, E.F., Justice, C.O., Townshend, J.R.G, Tucker, C.J., and Goward, S.N. (2000) Improvements in the global biospheric record from the Advanced Very High Resolution Radiometer (AVHRR), International Journal of Remote Sensing, Vol. 21 , pp. 1251-1277.   DOI   ScienceOn
12 Gibbons, J.D. (1990) Handbook of statistical methods for engineers and scientists, McGrawHill, ed. pp. 11.1-11.26.
13 Hirsch, R.M. and Slack, J.R. (1984) A nonparametric trend test for seasonal data with serial dependence, Water Resources Research, Vol. 20, pp. 727-732   DOI   ScienceOn
14 James, M.E. and Kalluri, S.N.V. (1994) The Pathfinder AVHRR land dataset: an improved coarse resolution dataset for terrestrial monitoring, International Journal of Remote Sensing, Vol. 15, pp. 3347-3363.   DOI   ScienceOn
15 Karabulut, M. (2003) An examination of relationships between vegetation and rainfall using maximum vaule composite AVHRR-NDVI data, Turkish Journal of Botany, Vol. 27. pp. 93-101.
16 Liu, H.Q. and Huete, A.R. (1995) Feedback based modification of the NDVI to minimize canopy background and atmospheric noise. lEEE Transactions on Geoscience and Remote Sensing, Vol. 33, No. 2, pp. 457-465.   DOI   ScienceOn
17 Los, S.O., Collatz, G.J., Sellers, P.J., Malmstrom, N.H., Pollack, N.H., DeFries, R.S., Bounoua, L., Parris, M.T., Tucker, C.J., and Dazlich, D.A. (2000) A global 9-year biophysical land-surface dataset from NOAA AVKRR data. Journal of Hydrometeorology, Vol. 1, pp. 183-199.   DOI   ScienceOn
18 Parmiggiani, F., Quarta, G, Marra, G.P., and Conte, D. (2006) NDVI fluctuations from 1995 to 2006 in South Italy and North Africa: a search for a climate change indicator. Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII. Proceedings of the SPIE, Vol. 6359.
19 Mann, H.B. (1945) Nonparametric tests against trend. Econometrica, Vol. 13, pp. 245-259.   DOI   ScienceOn
20 Nemani, R.R., White, M.A., Thornton. P.E., Nishida, K., Reddy, S., Jekins, J., and Running, S. (2002) Recent trends in hydrologic balance have enhanced the terrestrial carbon sink in the United States. Geophysical Research Letters, Vol. 29, 10.1029/ 2002GL01487.
21 Pinzon, J. (2002) Using HHT to successfully uncouple seasonal and interannual components in remotely sensed data. SCI 2002, Conference Proceedings Jul. pp. 14-18. Orlando, Florida.
22 Pinzon, J., Brown, M.E., and Tucker, C.J. (2004) Satellite time series correction of orbital drift artifacts using empirical mode decomposition. In Hilbert-Huang Transforrn: lntroduction and Applications, eds. N. Huang, pp. Chapter 10, Part II, Applications (to appear).
23 Rouse, J.W., Haas, R.W., Schell, J.A., Oeering, D.W., and Harlan, J.C. (1974) Monitoring the venal advancement and retrogradations (Greenwave effect) of natural vegetation. NASA/GSFCT Type III Final Report, Greenbelt, MD, USA.
24 Sellers, P.J. (1985) Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing, Vol. 6, pp. 1335-1372.   DOI   ScienceOn
25 Sellers, P.J. (1994) A global $1^{\circ}$ by $1^{\circ}$ NDVI dataset for climate studies. Part 2: the generation of global fields of terrestrial biophysical parameters from the NDVI. International Journal of Remote Sensing, Vol. 15, pp. 3519-3545.   DOI   ScienceOn
26 Slayback, D.A., Pinzon, J.E., Los, S.O., and Tucker, C.J. (2003) Northern hemisphere photosynthetic trends. 1982-1999 Global Change Biology, Vol. 9, pp. 1-15.   DOI   ScienceOn
27 Tucker, C.J., Pinzon, J.E., Brown, M.E., Slayback, D., Pak, E.W., Mahoney, R., Vermote, E., and El Saleous, N (2005) An extended AVHRR 8-km NDVI datast compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, Vol. 26, No. 20, pp. 4485-4498.   DOI   ScienceOn
28 Szilagyi, J., Rundquist, D.C., and Gosselin, D.C. (1998). NDVI relationship to monthly evaporation. Geophysical Research Letters, Vol. 25, No. 10, pp. 1753-1756.   DOI   ScienceOn
29 Tourre, Y.M., Jarlan, L., Lacaux, J-P., Rotela, C.H., and Lafaye, M (2008) Spatio-temporal variability of NDVl-precipitation over southernmost South America: possible linkages between climate signals and epidemics. Environmental Research Letters, Vol. 3, 044008.
30 Tucker, C.J. (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, Vol. 8, pp. 127-150.   DOI   ScienceOn
31 Van den Hurk, B., Viterbo, J.J.M., and Los, S.O. (2003) Impact of leaf area index seasonality in the annual land surface evaporation in a global circulation model. Journal of Geophysical Research. Vol. 108, pp. 4191-4199.   DOI
32 Wang, J., Rick, P.M., and Price, K.P. (2003) Temporal response of NDVI to precipitation and temperature in the centeral Great Plain, USA. International Journal of Remote Sensing, Vol. 24, No. 11, pp. 2345-2364.   DOI   ScienceOn