Vegetation Covering Changes in Shandong Province Based on NDVI Data

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Abstract:

The vegetation cover is the main part of the human transformation of nature, and it is also the main reflection of human activities. Shandong Province is in the stage of rapid development at present, rapid economic growth and extensive development model makes the land use and vegetation cover has undergone profound changes in Shandong Province. Therefore, the study of vegetation cover change has great significance to the province. Based on the MODI S NDVI data with 1km resolution, the vegetation cover changes of Shandong Province from 2002 to 2011were analyzed in this paper supporting by the ENVI technology. The results showed that NDVI values in 2002 were mainly distributed in the 0.4-0.6 range, accounting for 62%, while NDVI values of the other years were mainly distributed in the 0.6-0.8 range, the proportion of them were over 50% except 2002. The results also showed that there are some differences in the composition of each interval in 2003 to 2011. Drought, fixed assets investment and crop planting area may be the main reasons for vegetation coverage changes of Shandong Province.

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Periodical:

Advanced Materials Research (Volumes 610-613)

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3612-3615

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xian-lin Qin, Er-xue Chen, Zeng-yuan Li, etc: Remote Sensing Technology and Application. Vol. 21 (2006), p.178~183 (In Chinese)

Google Scholar

[2] Xu Zhang, Xin-chun Liu, Ji-dong Xiao, etc: Arid Zone Research. Vol. 22 (2005), p.532~536 (In Chinese)

Google Scholar

[3] Guiquan Tian, Kai Qu. Research of Soil and Water Conservation. Vol. 15(2008), pp.75-79 (In Chinese)

Google Scholar

[4] Li J, Lewis J, Rowland J, Tappan G, Tieszen L L. Journal of Arid Environments. Vol. 59 (2004), pp.463-480

DOI: 10.1016/j.jaridenv.2004.03.019

Google Scholar

[5] Mkhabela M S, Bullock P, Raj S, Wang S, Yang Y. Agricultural and Forest Meteorology. Vol. 151 (2011), pp.385-393

DOI: 10.1016/j.agrformet.2010.11.012

Google Scholar

[6] http://www.ssfcn.com/detailed_gh.asp?id=13944&sid=1582

Google Scholar

[7] http://www.aglook.net/arzixunlook.asp?id=9989

Google Scholar