Physics
Scientific paper
Oct 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3219404r&link_type=abstract
Geophysical Research Letters, Volume 32, Issue 19, CiteID L19404
Physics
18
Biogeosciences: Carbon Cycling (4806), Biogeosciences: Remote Sensing, Global Change: Biogeochemical Cycles, Processes, And Modeling (0412, 0414, 0793, 4805, 4912), Global Change: Land/Atmosphere Interactions (1218, 1843, 3322), Hydrology: Estimation And Forecasting
Scientific paper
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 (r2 = 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.
Cordova V. D.
El-Masri B. Z.
Rahman A. F.
Sims D. A.
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