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15 September 2011 Ten-day response of vegetation to temperature and prcipitation in Xinjiang during the period of 1998-2009, China
Xiao-ming Cao, Zhi-qiang Gao, Xi Chen
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Proceedings Volume 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII; 81560L (2011) https://doi.org/10.1117/12.892891
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States
Abstract
In this paper, 10-day (ten-day) spatio-temporal response of vegetation to the change of temperature and precipitation was analyzed in spring, summer, autumn and whole year in Xinjiang, China during the period of 1998-2009 based on the SPOT VEGETATION-NDVI data and 10-day average temperature or precipitation data observed by 54 meteorological stations in Xinjiang through correlation analysis. The results show that the response of 10-day NDVI to temperature was more significant than that to precipitation, and the maximal response of vegetation to temperature and precipitation lagged for two 10-day periods. Seasonally, the effect of temperature and precipitation on vegetation NDVI was the highest in autumn, then in spring, and it was the lowest in summer. The response of vegetation to 10-day change of meteorological factors was positive in spring, the affecting duration was long, and it was relatively short in autumn and summer. Spatially, the 10-day maximal response of NDVI to temperature in northern Xinjiang was higher than that in southern Xinjiang. The results indicated that interannual change of temperature was not the dominant factor affecting the change of vegetation NDVI in Xinjiang, but the decrease of annual precipitation was the main factor resulting in the fluctuation of vegetation coverage. 10-day average temperature was an important factor to promote vegetation growth in Xinjiang within a year, but the effect of precipitation on vegetation growth within a year was not strong.
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Xiao-ming Cao, Zhi-qiang Gao, and Xi Chen "Ten-day response of vegetation to temperature and prcipitation in Xinjiang during the period of 1998-2009, China", Proc. SPIE 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 81560L (15 September 2011); https://doi.org/10.1117/12.892891
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KEYWORDS
Vegetation
Temperature metrology
Meteorology
Environmental sensing
Analytical research
Climate change
Climatology
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