Global, remote-sensing supported environmental layers for assessing status and trends in biodiversity, ecosystems, and climate

Publications to date

Amatulli, G., Domisch, S., Tuanmu, M.-N., Parmentier, B., Ranipeta, A., Malczyk, J., and Jetz, W. (2018) A suite of global, cross-scale topographic variables for environmental and biodiversity modeling. Scientific Data volume 5, Article number: 180040. DOI: doi:10.1038/sdata.2018.40

Domisch, S., A. M. Wilson, and W. Jetz. 2016. Model-based integration of observed and expert-based information for assessing the geographic and environmental distribution of freshwater species. Ecography. in press.

Wilson, A. M., and W. Jetz. 2016. Remotely sensed high-resolution global cloud dynamics for predicting ecosystem and biodiversity distributions. PLoS Biol 14(3): e1002415. doi:10.1371/journal. pbio.1002415

Parmentier, B., B. J. McGill, A. M. Wilson, J. Regetz, W. Jetz, R. Guralnick, M.-N. Tuanmu, and M. Schildhauer. 2015. Using multi-timescale methods and satellite-derived land surface temperature for the interpolation of daily maximum air temperature in Oregon. International Journal of Climatology 35:3862-3878.

Tuanmu, M.-N., and W. Jetz. 2015. A global, remote sensing-based characterization of terrestrial habitat heterogeneity for biodiversity and ecosystem modelling. Global Ecology and Biogeography 24:1329-1339.

Crowther, T. W., H. B. Glick, K. R. Covey, C. Bettigole, D. S. Maynard, S. M. Thomas, J. R. Smith, G. Hintler, M. C. Duguid, G. Amatulli, M. N. Tuanmu, W. Jetz, C. Salas, C. Stam, D. Piotto, R. Tavani, S. Green, G. Bruce, S. J. Williams, S. K. Wiser, M. O. Huber, G. M. Hengeveld, G. J. Nabuurs, E. Tikhonova, P. Borchardt, C. F. Li, L. W. Powrie, M. Fischer, A. Hemp, J. Homeier, P. Cho, A. C. Vibrans, P. M. Umunay, S. L. Piao, C. W. Rowe, M. S. Ashton, P. R. Crane, and M. A. Bradford. 2015. Mapping tree density at a global scale. Nature 525:201-205.

Domisch, S., G. Amatulli, and W. Jetz. 2015. Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution. Scientific Data 2:150073.

Parmentier, B., B. McGill, A. Wilson, J. Regetz, W. Jetz, R. Guralnick, M.-N. Tuanmu, N. Robinson, and M. Schildhauer. 2014. An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature. Remote Sensing 6:8639-8670.

Tuanmu, M.-N., and W. Jetz. 2014. A global 1-km consensus land-cover product for biodiversity and ecosystem modelling. Global Ecology and Biogeography 23:1031-1045.

Wilson, A. M., B. Parmentier, and W. Jetz. 2014. Systematic land cover bias in Collection 5 MODIS cloud mask and derived products—A global overview. Remote Sensing of Environment 141:149-154.

Robinson, N., J. Regetz, and R. P. Guralnick. 2014. EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data. ISPRS Journal of Photogrammetry and Remote Sensing 87:57-67.