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Tonzi Ranch

1078-Tonzi Ranch

Estimating parameters in a land-surface model by applying nonlinear inversion to eddy covariance flux measurements from eight FLUXNET sites

WANG, Y. I. N. G. P. I. N. G., Baldocchi D., Leuning R., Falge E., & Vesala T. (2007).  Estimating parameters in a land-surface model by applying nonlinear inversion to eddy covariance flux measurements from eight FLUXNET sites. Global Change Biology. 13(3), 652 - 670.

Remote sensing data assimilation for a prognostic phenology model

Stöckli, R., Rutishauser T., Dragoni D., O'keefe J., Thornton P. E., Jolly M., et al. (2008).  Remote sensing data assimilation for a prognostic phenology model. Journal of Geophysical Research. 113(G4), 

Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations

Heinsch, F. A., Zhao M., Running S. W., Kimball J. S., Nemani R. R., DAVIS K. J., et al. (2006).  Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Transactions on Geoscience and Remote Sensing. 44(7), 1908 - 1925.

Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes

Yuan, W., Liu S., Zhou G., Zhou G., Tieszen L. L., Baldocchi D., et al. (2007).  Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agricultural and Forest Meteorology. 143(3-4), 189 - 207.

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

Mu, Q., Heinsch F. A., Zhao M., & Running S. W. (2007).  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 111(4), 519 - 536.

Upscaling fluxes from tower to landscape: Overlaying flux footprints on high-resolution (IKONOS) images of vegetation cover

KIM, J., GUO Q., BALDOCCHI D., LECLERC M., Xu L., & SCHMID H. (2006).  Upscaling fluxes from tower to landscape: Overlaying flux footprints on high-resolution (IKONOS) images of vegetation cover. Agricultural and Forest Meteorology. 136(3-4), 132 - 146.

Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data

HASHIMOTO, H., DUNGAN J., WHITE M., YANG F., MICHAELIS A., RUNNING S., et al. (2008).  Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data. Remote Sensing of Environment. 112(1), 142 - 155.

Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites

Fisher, J. B., TU K. E. V. I. N. P., & Baldocchi D. D. (2008).  Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment. 112(3), 901 - 919.

An analysis of soil moisture dynamics using multi-year data from a network of micrometeorological observation sites

MILLER, G., BALDOCCHI D., LAW B., & MEYERS T. (2007).  An analysis of soil moisture dynamics using multi-year data from a network of micrometeorological observation sites. Advances in Water Resources. 30(5), 1065 - 1081.

Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing

Glenn, E. P., Nagler P. L., & HUETE A. L. F. R. E. D. O. R. (2010).  Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing. Surveys in Geophysics. 31(6), 531 - 555.