Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. - Faith Ann Heinsch; Maosheng Zhao; Steven W. Running; John S. Kimball; Ramakrishna R. Nemani; Kenneth J. Davis; Paul V. Bolstad; Bruce D. Cook; Ankur R. Desai; Daniel M. Ricciuto; Beverly E. Law; Walt C. Oechel; et al. (IEEE Trans. Geosci. Remote. Sens., 2006)

Investigating temporal variations in vegetation water content derived from SMOS optical depth. - Jennifer P. Grant; Jean-Pierre Wigneron; Matthias Drusch; Mathew Williams; Beverly E. Law; Nathalie Novello; Yann H. Kerr (IGARSS, 2012)

Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales. - Xiaocui Wu; Weimin Ju; Yanlian Zhou; Mingzhu He; Beverly E. Law; Thomas Andrew Black; Hank A. Margolis; Alessandro Cescatti; Lianhong Gu; Leonardo Montagnani; Asko Noormets; Timothy J. Griffis; et al. (Remote. Sens., 2015)

Estimating Aboveground Biomass in Tropical Forests: Field Methods and Error Analysis for the Calibration of Remote Sensing Observations. - Fábio Guimarães Gonçalves; Robert N. Treuhaft; Beverly E. Law; André Almeida 001; Wayne Walker; Alessandro Baccini; João Roberto dos Santos; Paulo M. L. A. Graça (Remote. Sens., 2017)

Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning. - Andres Schmidt; Whitney Creason; Beverly E. Law (Neural Networks, 2018)