Potential of MODIS EVI and surface temperature for directly estimating per-pixel ecosystem C fluxes

被引:174
作者
Rahman, AF
Sims, DA
Cordova, VD
El-Masri, BZ
机构
[1] Texas Tech Univ, Dept Range Wildlife & Fisheries Management, Lubbock, TX 79409 USA
[2] Ball State Univ, Dept Nat Resources & Environm Management, Muncie, IN 47306 USA
[3] Ball State Univ, Dept Geog, Muncie, IN 47306 USA
关键词
D O I
10.1029/2005GL024127
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We tested the potential of estimating per-pixel gross primary production (GPP) directly from the MODIS enhanced vegetation index (EVI) and respiration directly from MODIS surface temperature (MOD11). Carbon flux data were obtained from 10 eddy covariance tower sites representing a wide range of North American vegetations. The correlation between across-site tower GPP and EVI was comparable ( r = 0.77) to that between tower GPP and MOD17-GPP ( r = 0.73), suggesting that EVI could be used to provide reasonably accurate direct estimates of GPP on a truly per-pixel basis. There was also a strong relationship (r(2) = 0.67) between respiration and surface temperature of dense vegetation, suggesting that estimation of net ecosystem exchange ( NEE) may be possible with relatively simple pixel based models, at least for some vegetation types.
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页码:1 / 4
页数:4
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