Abstract
A model for calculating CO2 flux in the wheat field and an algorithm for estimating CO2 flux in the mejonal scale were presented using the remote sensing data and supplementary micpo-met~orological data. First of all a-longertenn measurement wae carried out during winter wheat growing period in Yucheng Experimental Station udng the spectmradiometer system, the thermal infrared radiometer system, the Bowen-ratio device as well as the eddy-correlation device. Two kinds of issues concerning remote sensing and CO2 flux can be obtained. Based on the obeervations a remote sensing model was estabilished. Then when the NOAA-AVHRR passed over the experimental area simultaneous measurements were carried out with the satellites. A regional distribution image for CO2 flux over wheat canopy in North China (500×500 km2) was made using the supplementary ground data and NOAA-AVHRR remote sensing data which was calibrated by the synchronous observation. The sources and sinks for CO2 fluxes in the region can be seen obviously.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
King, R. W., Evans, L. T., Photoeynthesis in artificial communication of wheat, Lucerne and subtenmean clover plants,Aust. J. BIol. Sci., 1967, 20: 623.
Biscoe, P. V., Scott, R. K., Monteith, J. L., Barley and its environment III carbon budget of the stand,J. Appl. Ecol., 1975, 12: 269.
Sinclair, T. R., Murphy, C. E.. Knom, K. R., Development and evaluation of simplified modela for simulating canopy photosynthesis and transpiration,J. Appl. Ecol., 1976, 13: 813.
Strebel, D. E., Landis, D. R., Huemmrich, K. F. et a1.,Collected Data of the Fist ISLSCP Field Experiment (FIFE), 1990.
Smith, E. A., Hodges, G. B., Baerania. M. et al., BOREAS net radiometer engineering study,Final Report., NASA Grant NAG5-24471, 1997.
Asrar, G., Fuchs, M., Kanemasu, E. T. et al., Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in the field,Agron., 1984, J. 76: 300.
Huete, A. R., Soil influences in remotely sensed vegetation-canopy spectra, inTheory and Application of Optical Remote Sensing (ed. Ghassem, A.), New York: John Wiley & Sons, 1989, 107–141.
Goel, S. N., Inversion of canopy rdectance models for estimation of biophysical parameters from reilectance data, inTheory and Apphaion of Optical Reme Senaing (ed. Ghassem, A.), New York: John Wily & Sons, 1989, 205–251.
Jackson, R. D., Estimating evapotmmpiration at local and regional scales,Proc. IEEE, 1985, 73: 1086.
Carnillo, P. J., Gurney, R. J., A resistance parameter for bare-soil evaporation models,Soil Sci., 1986, 141: 95.
Zhang, R. H., Evapotmnsphtion model based on crop spectnun and canopy surface teqemtum,Fiekl Evopotranspiration Study, Beijing: MeteorologicaI Press, 1991.
Zhang, R. H.,Remote Sensing Modck and Ground Swjiam Foundation, Beijing, Science Press, 1996.
Choudhwy, B. J., Estimating evaporation and carbon assimilation using infrared temperature data: vistan and modeling, inby and qpplimtion of Optical Remote Seming (ed. Ghassem, A.), New York: John Wiley & Sons, 1989, 628–690
Jupp, D. L. B., Constrained two layer models for estimating evapotranspiration, inProc. of the 11th Lian Gorfcnnca on Re-mote Smn’ng, Gmngahou, China, Beijing: International Academic Publishers, 1990, 1: B-4–35.
Zhang, R. H., Kuuslc, A., Gang, C. etal., A new quantitative way for deterring leaf area index and net primary pmductivity in regional scale,Ccogmphy (in Chinese), 1996, 6(4): 1.
Author information
Authors and Affiliations
Additional information
Project supported by the National Natural Science Foundation of China (Grant Nos. 49671058, 49890330)
Rights and permissions
About this article
Cite this article
Zhang, R., Sun, X., Zhu, Z. et al. A remote sensing model of CO2 flux for wheat and studying of regional distribution. Sci. China Ser. D-Earth Sci. 42, 325–336 (1999). https://doi.org/10.1007/BF02878969
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF02878969