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NDVI Variation Characteristics And Response To Meteorological Factors In Fujian Province

Posted on:2016-04-03Degree:MasterType:Thesis
Country:ChinaCandidate:Q WangFull Text:PDF
GTID:2180330485990435Subject:Physical geography
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Based on GIMMS NDVI, SPOT NDVI and MODIS NDVI, throughout the comparison of the three different resources data, MODIS NDVI was selected, so that vegetation status and dynamic change were analyzed of Fujian province in period of 2000 to 2010 by the methods of linear trend and wavelet, et al. To reveal variation characteristics of years, annual and periodic and regional spatial distribution pattern characteristics of the vegetation, with the methods of correlation, partial correlation analysis and lag correlation analysis, The correlation coefficient of temperature, precipitation and NDVI that with the same period, were calculated. The main results of the research are as follows:(1) It has 100301.51 km2 of high vegetation productivity, accounting for 83.28% of the total area of whole province. In all cities of Fujian province, Nanping, Sanming, Longyan, Ningde, with the high productivity of vegetation, have a bigger percentage of 91.46%,91.00%,89.52% and 86.80%. Relatively, Xiamen, Quanzhou, Putian have a smaller percentage of 44.60%,63.04% and 44.60%.(2) NDVI peak is 0.855, in August and September, the lowest is in March, but is also high that is 0.65. From April to September, NDVI is on the rise, because the vegetation is in a growing season. From October to March of the following year, NDVI shows a trend of gradual decline, because the vegetation is in a non-growing season. NDVI value has six months significant volatility changing trend in 12 months’time scale, showing a high value center and a low value center appears alternately.(3) Within the annual mean NDVI in Fujian province from 2000 to 2010, minimum value is 0.747 in 2005, the maximum value is 0.799 in 2010.The linear trend is 0.0032/a, the correlation coefficient of average annual NDVI and the year is 0.614 (P< 0.05), showing an overall slowly increasing trend.(4) In the all changing grads, annual mean NDVI essentially unchanged area accounts for the largest proportion that is 82.18%. The second is slightly increased area that is 15.04%. In all cities of Fujian province, of severely reduce area, Xiamen accounts for the largest proportion that is 6.47%, Ningde, Nanping accounts for smaller proportion that is 0.09%,0.18%. Slightly reduce area, Xiamen accounts for the largest proportion that is 7.85%, Ningde hold the smallest percentage that is 0.37%. Mild increasing area, ratio of Zhangzhou, Putian is larger that is 45.92%,29.27%; Heavy increasing area, Zhangzhou is at the biggest percentage that is 3.59%, Sanming, Nanping, Ningde are at smaller percentage that is 0.02%.(5)The correlation between the annual mean NDVI value and temperature, precipitation is weak. In growing season, it shows negative correlation that is not significant; In non-growing season, Positive correlation is also not significant.(6) In the non-growing season, the monthly mean NDVI is closely response to the temperature. While the phase lag accumulation combination is the current month and 1 month before, the correlation coefficient is the largest, is 0.840 (p< 0.05). The response to precipitation, While the phase lag accumulation combination is the current month and 1 month before and 2 month before and 3 month before, the correlation coefficient is the largest, is 0.765 (p< 0.05). In the growing season, the monthly average NDVI response to temperature is positive correlation, while phase lag accumulation combination is the current month and 1 month before and 2 month before, or 1 month before and 2 month before, the correlation coefficient is bigger, respectively is 0.796 (p< 0.05),0.787 (p< 0.05). The monthly average NDVI correlation coefficient with the precipitation is less than 0.55, showing a weak response to precipitation.
Keywords/Search Tags:NDVI, Changing trend, Meteorological factors, Correlation analysis, Lagging response
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