DocumentCode :
2875917
Title :
Can Canopy Radiometric Temperature Be Used as an Alternate of Air Temperature to Predict Ecosystem Carbon Fluxes
Author :
Yan, J.X. ; Li, H.J. ; Zeng, C.X. ; Sun, L.N.
fYear :
2012
fDate :
1-3 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
Net ecosystem carbon dioxide (CO2) exchange (NEE) and ecosystem respiration (Reco) were determined in an alfalfa (Medicago sativa L) crop in Taiyuan basin, Shanxi province of China, using the closed chamber technique. Gross primary production (GPP) was calculated as the sum of NEE and Reco. The results showed that the coefficients of determination (r2) of the GPP and NEE with canopy radiometric temperature (Tc) were significantly higher than those with air temperature (Ta) on diurnal scales. The Reco was closely correlated to both Ta and Tc on all measurement dates on a diurnal scale. The coefficients of determination (r2) values between Reco and Ts were lower than those between Reco and both Ta and Tc on diurnal scale. Those results suggest that at the plot scale Tc is a better predict factor for ecosystem carbon fluxes estimate than both Ta and Ts are. Those results give us some implications for linking remotely sensed infrared temperature of canopy to ecosystem carbon flux estimate.
Keywords :
air pollution measurement; atmospheric temperature; radiometry; remote sensing; vegetation; China; GPP determination coefficients; NEE determination coefficients; Shanxi province; Taiyuan basin; air temperature; alfalfa crop; canopy radiometric temperature; canopy remotely sensed infrared temperature; closed chamber technique; diurnal scale; ecosystem carbon fluxes; ecosystem respiration; gross primary production; net ecosystem carbon dioxide exchange; Agriculture; Ecosystems; Meteorology; Soil; Soil measurements; Temperature measurement; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
Type :
conf
DOI :
10.1109/RSETE.2012.6260424
Filename :
6260424
Link To Document :
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