The effect of vegetation on surface temperature: A statistical analysis of NDVI and climate data

被引:143
作者
Kaufmann, RK
Zhou, L
Myneni, RB
Tucker, CJ
Slayback, D
Shabanov, NV
Pinzon, J
机构
[1] Boston Univ, Dept Geog, Boston, MA 02215 USA
[2] Georgia Inst Technol, Sch Earth & Atmospher Sci, Atlanta, GA 30332 USA
[3] NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Sci Syst & Applicat Inc, Greenbelt, MD 20771 USA
关键词
Climate data - Ground based - Interannual variation - Meteorological observation - Statistical techniques - Surface temperatures - Temperature-induced - Terrestrial vegetation;
D O I
10.1029/2003GL018251
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
[1] We use statistical techniques to quantify the effect of interannual variations in vegetation within land covers on surface temperature in North America and Eurasia from satellite measures of surface greenness and ground based meteorological observations. During the winter, reductions in the extent of snow cover cause (in a statistical sense) temperature to rise. During the summer, increases in terrestrial vegetation within land covers cause (in a statistical sense) temperature to fall. Temperature-induced increases in vegetation have slowed increases in surface temperature, but this feedback may be limited by the range over which temperature has a positive effect on vegetation.
引用
收藏
页码:CLM3 / 1
页数:4
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