Journal of Geographical Sciences

, Volume 19, Issue 4, pp 403–415 | Cite as

NDVI spatial pattern and its differentiation on the Mongolian Plateau

  • Xueyan Zhang
  • Yunfeng Hu
  • Dafang Zhuang
  • Yongqing Qi
  • Xin Ma


GIMMS NDVI database and geo-statistics were used to depict the spatial distribution and temporal stability of NDVI on the Mongolian Plateau. The results demonstrated that: (1) Regions of interest with high NDVI indices were distributed primarily in forested mountainous regions of the east and the north, areas with low NDVI indices were primarily distributed in the Gobi desert regions of the west and the southwest, and areas with moderate NDVI values were mainly distributed in a middle steppe strap from northwest to southeast. (2) The maximum NDVI values maintained for the past 22 years showed little variation. The average NDVI variance coefficient for the 22-year period was 15.2%. (3) NDVI distribution and vegetation cover showed spatial autocorrelations on a global scale. NDVI patterns from the vegetation cover also demonstrated anisotropy; a higher positive spatial correlation was indicated in a NW-SE direction, which suggested that vegetation cover in a NW-SE direction maintained increased integrity, and vegetation assemblage was mainly distributed in the same specific direction. (4) The NDVI spatial distribution was mainly controlled by structural factors, 88.7% of the total spatial variation was influenced by structural and 11.3% by random factors. And the global autocorrelation distance was 1178 km, and the average vegetation patch length (NW-SE) to width (NE-SW) ratio was approximately 2.4:1.0.


GIMMS NDVI spatial pattern spatial differentiation spatial statistics Mongolian Plateau 


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  1. Aragao L, Shimabukuro Y, Santo F et al., 2005. Landscape pattern and spatial variability of leaf area index in eastern Amazonia. Forest Ecology and Management, 211(3): 240–256.CrossRefGoogle Scholar
  2. Azzali S, Menenti M, 2000. Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data. International Journal of Remote Sensing, 21(5): 973–996.CrossRefGoogle Scholar
  3. Cain D H, Riitters K, Orvis K, 1997. A multi-scale analysis of landscape statistics. Landsc. Ecol., 12(4): 199–212.CrossRefGoogle Scholar
  4. Chen J, Jonsson P, Tamura M et al., 2004. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sensing of Environment, 91(3/4):332–344.CrossRefGoogle Scholar
  5. Dill HG, Khishigsuren S, Majigsuren Y et al., 2006. Geomorphological studies along a transect from the taiga to the desert in central Mongolia: Evolution of landforms in the mid-latitude continental interior as a function of climate and vegetation. J. Asian Earth Sci., 27(2): 241–264.CrossRefGoogle Scholar
  6. Fang J Y, Piao S L, He J S et al., 2004. Increasing terrestrial vegetation activity in China, 1982–1999. Science in China (Series C), 47(3): 229–240. (in Chinese)Google Scholar
  7. GLCF, 2008. GLCF: AVHRR global land cover classification.
  8. Gong D, Shi P, 2004. Inter-annual changes in Eurasian continent NDVI and its sensitivity to the large-scale climate variations in the last 20 years. Acta Botanica Sinica, 46(2): 186–193. (in Chinese)Google Scholar
  9. Hu Y F, Ban Y F, Zhang Q et al., 2008. Spatial-temporal pattern of gimms NDVI and its dynamics in Mongolian Plateau. In: Earth Observation and Remote Sensing Applications, 2008, Beijing: IEEE, 1–6.Google Scholar
  10. Hu Y F, Liu J Y, Zhuang D F et al., 2003. Study on the relationship between land-use dynamics and wind erosion dynamics in Inner Mongolia during late 1990s. Progress in Geography, 22(6): 541–550. (in Chinese)Google Scholar
  11. Hu Y F, Liu J Y, Zhuang D F et al., 2005. Distribution characteristics of (cs)-c-137 in wind-eroded soil profile and its use in estimating wind erosion modulus. Chinese Science Bulletin, 50(11): 1155–1159. (in Chinese)CrossRefGoogle Scholar
  12. Husar R B, Tratt D M, Schichtel B A et al., 2001. Asian dust events of April 1998. Journal of Geophysical Research-Atmospheres, 106(D16): 18317–18330.CrossRefGoogle Scholar
  13. Lanfredi M, Lasaponara R, Simoniello T et al., 2003. Multiresolution spatial characterization of land degradation phenomena in southern Italy from 1985 to 1999 using NOAA-AVHRR NDVI data. Geophysical Research Letters, 30(2): 1069–1081.CrossRefGoogle Scholar
  14. Li Z T, Kafatos M, 2000. Interannual variability of vegetation in the United States and its relation to El Nino/Southern Oscillation. Remote Sensing of Environment, 71(3): 239–247.CrossRefGoogle Scholar
  15. Liu J Y, Buheaosier, 2000. Study on spatial-temporal feature of modern land-use change in China: Using remote sensing techniques. Quaternary Sciences, 20(3): 229–239. (in Chinese)Google Scholar
  16. Liu J Y, Liu M L, Zhuang D F et al., 2003. Study on spatial pattern of land-use change in China during 1995–2000. Science in China (Series D), 46(4): 373–384. (in Chinese)CrossRefGoogle Scholar
  17. Liu J Y, Qi Y Q, Shi H D et al., 2008. Estimation of wind erosion rates by using Cs-137 tracing technique: A case study in Tariat-Xilin Gol transect, Mongolian Plateau. Chinese Science Bulletin, 53(5): 751–758. (in Chinese)CrossRefGoogle Scholar
  18. Liu J Y, Wang S Q, Chen J M et al., 2004. Storages of soil organic carbon and nitrogen and land use changes in China: 1990–2000. Acta Geographica Sinica, 59(4): 483–496. (in Chinese)Google Scholar
  19. Natsagdorj L, Jugder D, Chung Y S, 2003. Analysis of dust storms observed in Mongolia during 1937–1999. Atmos. Environ., 37(9/10): 1401–1411.CrossRefGoogle Scholar
  20. Onda Y, Kato H, Tanaka Y et al., 2007. Analysis of runoff generation and soil erosion processes by using environmental radionuclides in semiarid areas of Mongolia. J. Hydrol., 333(1): 124–132.CrossRefGoogle Scholar
  21. Overmars K P, de Koning G H J, Veldkamp A, 2003. Spatial autocorrelation in multi-scale land use models. Ecological Modeling, 164(2/3): 257–270.CrossRefGoogle Scholar
  22. Perry J N, Liebhold A M, Rosenberg M S et al., 2002. Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data. Ecography, 25(5): 578–600.CrossRefGoogle Scholar
  23. Qi Y, Wu J G, 1996. Effects of changing spatial resolution on the results of landscape pattern analysis using spatial autocorrelation indices. Landsc. Ecol., 11(1): 39–49.CrossRefGoogle Scholar
  24. Roerink G J, Menenti M, Verhoef W, 2000. Reconstructing cloudfree NDVI composites using Fourier analysis of time series. International Journal of Remote Sensing, 21(9): 1911–1917.CrossRefGoogle Scholar
  25. Tucker C J, Pinzon J E, Brown M E et al., 2005. An extended AVHRR 8-km NDVI data set compatible with modis and spot vegetation NDVI data. International Journal of Remote Sensing, 26(20): 4485–4498.CrossRefGoogle Scholar
  26. Viovy N, Arino O, Belward A S, 1992. The best index slope extraction (BISE): A method for reducing noise in NDVI time-series. International Journal of Remote Sensing, 13(8): 1585–1590.CrossRefGoogle Scholar
  27. Weng Q H, 2002. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modeling. J. Environ. Manage., 64(3): 273–284.CrossRefGoogle Scholar
  28. Weng Q H, 2003. Fractal analysis of satellite-detected urban heat island effect. Photogram. Eng. Remote Sens., 69(5): 555–566.Google Scholar
  29. Wu J G, Hobbs R, 2002. Key issues and research priorities in landscape ecology: An idiosyncratic synthesis. Landsc. Ecol., 17(4): 355–365.CrossRefGoogle Scholar
  30. Yang X P, Rost K T, Lehmkuhl F et al., 2004. The evolution of dry lands in northern China and in the Republic of Mongolia since the last glacial maximum. Quatern Int., 118/119: 69–85.CrossRefGoogle Scholar
  31. Ye D, Chou J, Liu J et al., 2000. Causes of sand-stormy weather in northern China and contral measures. Acta Geographica Sinica, 55(5): 513–521. (in Chinese)Google Scholar
  32. Zeng L X, Levy G, 1995. Space and time aliasing structure in monthly mean polar-orbiting satellite data. Journal of Geophysical Research-Atmospheres, 100(D3): 5133–5142.CrossRefGoogle Scholar
  33. Zhang X Y, Gong S L, Zhao T L et al., 2003. Sources of Asian dust and role of climate change versus desertification in Asian dust emission. Geophys Res. Lett., 30(24): 2272. (in Chinese)CrossRefGoogle Scholar
  34. Zhou L M, Tucker C J, Kaufmann R K et al., 2001. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. Journal of Geophysical Research-Atmospheres, 106(D17):20069–20083.CrossRefGoogle Scholar
  35. Zhuang D F, Liu J Y, Liu M L, 1999. Research activities on land-use/cover change in the past ten years in China using space technology. Chinese Geographical Science, 9(4): 330–334. (in Chinese)CrossRefGoogle Scholar

Copyright information

© Science in China Press and Springer Berlin Heidelberg 2009

Authors and Affiliations

  • Xueyan Zhang
    • 1
    • 2
  • Yunfeng Hu
    • 1
    • 3
  • Dafang Zhuang
    • 1
  • Yongqing Qi
    • 1
  • Xin Ma
    • 1
    • 2
  1. 1.Institute of Geographic Sciences and Natural Resources ResearchCASBeijingChina
  2. 2.Graduate University of Chinese Academy of SciencesBeijingChina
  3. 3.Department of Urban Planning & EnvironmentRoyal Institute of TechnologyStockholmSweden

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