Spatial Feature Analysis Of Time Series In China Based On MODIS Data

Vegetation Index (NDVI) changes related to the global environment and c hanges in temperature, but also directly affect the merits of the air quality of t he environment and human survival. In this paper, the use of MODIS data, th e use of GIS and RS technologies and geographical statistical methods to Chin a from 2001 to 2013 the NDVI seasonal variation, with monthly variation, spat ial variation and trends vegetation growth characteristics were studied. The resu Its are as follows:(1)Higher NDVI in China are mainly distributed in Inner Mongolia, North China in addition to the outer most regions, except the southwest of Shaanxi, Central, South, East Tibet in most parts of Northeast China, Northwest China. China NDVI average value most in between 0.7-0.8, NDVI mean lower regio n mainly in Inner Mongolia in north China, with an average of 0.4580, the sta ndard deviation of 0.2791; southwestern region of Tibet Autonomous Region, with an average of 0.3235, the standard difference is 0.2418; Gansu, Ningxia, Xinjiang and Qinghai Province in Northwest China, which were 0.3659,0.3699, 0.1895,0.3607, standard deviation respectively are 0.2837,0.1641,0.1979,0.2515.(2) China NDVI 14 years showed a rising trend, China NDVI trend rate between-0.079-0.078, the trend is the same range (-0.001<slope<0.001) account ed for 32.21%, vegetation degradation trend range (slope<-0.001) accounted for 17.36%, vegetation improving trend range (slope>0.001) accounted for 50.4 3%, sustained anti based persistence.(3) Chinese 14-year NDVI overall improvement in the trend, China NDVI growth trend mainly to improve the growth rate of 0.0018. Growth the most obvious year in 2001 are 0.5145 to 2002 years of 0.5282, an increase of 0.01 37 and 2009 are 0.5246 to 20100.5378 an increase of 0.0132; most significan t decline in the year in 2008, from 0.533 to 2009 years 0.5246 reduced 0.008 4.(4) NDVI seasonal variation wherein parabola, NDVI averages ranged fro m 0.2-0.55, which in addition to the maximum outer August 2005, the annual average in July, while the minimum in the annual December, January or Febru ary appears.(5) Arable land area of the total arable land in the improvement of 64.2 1%, accounting for 18.50% of degraded areas, to improve the obvious area is located south of Gansu, Ningxia, Shaanxi, north, northeast and west of the pro vinces of Xinjiang area a few areas, degraded obvious area is located Jiangsu, Zhejiang and Shanghai intersection zone of downtown and near most of the ca pital cities. Improved woodland area woodland 54.21% of the total, accounting for 20.13% of degraded areas, which improve the more obvious areas are mai nly located in the east of most of Heilongjiang, Gansu, north of Shaanxi, Shan xi and Liaoning and other places north of degradation significant regional area, east of the Inner Mongolia Autonomous Region, north eastern central Hunan, Sichuan, Xinjiang, Tibet and Taiwan, east central and southern regions; improv ed grassland region accounted for 55.53%, accounting for 18.23% of degraded areas, to improve the obvious areas are mainly located in eastern Gansu, Ning xia, north of Shaanxi, Shanxi, west, east part of Inner Mongolia Autonomous Region, degraded areas are mainly located in the eastern parts of Inner Mongo lia, Xinjiang, northern and central regions of Tibet.(6) Type NDVI trends have increased each land use, where the grass gro wth trend up to 0.0024, while the significant growth of the largest woodland. Growth trend woodland 0.002 correlation coefficient of 0.8211, the growth tren d of cultivated land is 0.0022, the correlation coefficient was 0.685; 0.0024 gra ss growth trend, a correlation coefficient of 0.6403.