SCIENTIA GEOGRAPHICA SINICA ›› 2015, Vol. 35 ›› Issue (12): 1616-1621.doi: 10.13249/j.cnki.sgs.2015.012.1616

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The Vegetation Remote Sensing Phenology of Qinling Mountains Based on NDVI and It‘s Response to Temperature: Taking Within the Territory of Shaanxi as An Example

Xin-ping MA(), Hong-ying BAI(), Ying-na HE, Jin QIN   

  1. The Department of City and Environment in Northwestern University Xi'an, Shaanxi 710127, China
  • Received:2014-11-10 Revised:2015-03-02 Online:2015-01-20 Published:2015-01-20


The vegetation phenology change was effected evidently by global temperature rising. The phenological parameters extracted from NDVI data can accurately showed a continuous phenology changes in macro scope. The vegetation phenology parameters was extracted by the method of dynamic threshold based on the MODIS NDVI time series of images data in 2000-2010 at the Qinling Mountains. The measured phenological data was used to verified the accuracy of remote sensing phenology results. The relationship between temperature changes and the phenology of Qinling region was quantitied at the macro scale. The resulte showed that the trend of vegetation phenology variation based on the NDVI are consistent with the results of measured phenological data. In 2000-2010, the advanced rate of phenology beginning period was 0.165 6 d/a, the delayed rate of phenology finaling period was 0.109 1 d/a. On space, the vegetation phenology beginning period in the northern region of the Qinling Mountains mainly occurred in the first 120 days to 130 days, it was later than the period of southern slope. The phenological ending period mainly occurred in 300-325 days , the arrival of phenology finaling period in the northern region was later than the southern region. The correlation of NDVI in phenological beginning period and the effective temperature, the spring and growing season temperature is significantly positive, NDVI in phenological ending period has a significantly positive correlation with the temperature in summer and autumn. The temperature lag 2-3 phase behind NDVI at the phenology beginning period.

Key words: remote sense phenology, the Qinling Mountains, dynamic threshold method, GIS, MODIS NDVI

CLC Number: 

  • K903