EarthEnv
Global, remote-sensing supported environmental layers for assessing status and trends in biodiversity, ecosystems, and climate
Publications to date
Karger, D.N., Wilson, A.M., Mahony, C., Zimmermann. N.E., Jetz, W. (2021) Global daily 1km land surface precipitation based on cloud cover-informed downscaling. EarthEnv. hdl:10079/MOL/6f52b80d-0a41-40f7-84ec-873458ca6ee6
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. http://onlinelibrary.wiley.com/doi/10.1002/joc.4251/suppinfo
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. http://onlinelibrary.wiley.com/doi/10.1111/geb.12365/full
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.
http://www.nature.com/nature/journal/v525/n7568/full/nature14967.html
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. http://www.nature.com/articles/sdata201573
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. http://www.mdpi.com/2072-4292/6/9/8639/htm
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. http://onlinelibrary.wiley.com/doi/10.1111/geb.12182/abstract
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. http://www.sciencedirect.com/science/article/pii/S0034425713003933
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. http://www.sciencedirect.com/science/article/pii/S0924271613002360