Our paper was awarded the International Best Paper in Pedometrics Award (2016).
Viscarra Rossel, R.A., T. Behrens, E. Ben-Dor, D.J. Brown, J.A.M. Demattê, K.D. Shepherd, Z. Shi, B. Stenberg, A. Stevens, V. Adamchuk, H. Aïchi, B.G. Barthès, H.M. Bartholomeus, A.D. Bayer, M. Bernoux, K. Böttcher, L. Brodský, C.W. Du, A. Chappell, Y. Fouad, V. Genot, C. Gomez, S. Grunwald, A. Gubler, C. Guerrero, C.B. Hedley, M. Knadel, H.J.M. Morrás, M. Nocita, L. Ramirez-Lopez, P. Roudier, E.M.R. Campos, P. Sanborn, V.M. Sellitto, K.A. Sudduth, B.G. Rawlins, C. Walter, L.A. Winowiecki, S.Y. Hong and W. Ji. 2016. A global spectral library to characterize the world’s soil. Earth-Science Reviews. 155, 198–230. doi:10.1016/j.earscirev.2016.01.012. (pdf)
The journal Earth-Science Reviews has a current IF of 7.82.
Synopsis of the paper: A global team of researchers, including Dr. Grunwald, synthesized a spectral dataset (visible-/near-infrared spectra) and measured soil data to model various critical soil indicators at global scale. Big data analysis was used to develop global soil maps/models for carbon, clay, and other soil properties demonstrating the impact and mitigation potential under various change stressors, including global climate change and land use change, both causing unprecedented soil degradation.
Read also the feature in the Soil and Water Sciences Department, UF Blog: http://blogs.ifas.ufl.edu/swsdept/2017/05/02/global-spectral-library-characterize-worlds-soil/