Importance of spatially distributed hydrologic variables for land use change modeling. - Paul D. Wagner; Björn Waske (Environ. Model. Softw., 2016)

Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression. - Johannes Rosentreter; Ron Hagensieker; Akpona Okujeni; Ribana Roscher; Paul D. Wagner; Björn Waske (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover mapping of monsoon regions. - Max J. Steinhausen; Paul D. Wagner; Balaji Narasimhan; Björn Waske (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Comparing the effects of dynamic versus static representations of land use change in hydrologic impact assessments. - Paul D. Wagner; S. Murty Bhallamudi; Balaji Narasimhan; Shamita Kumar; Nicola Fohrer; Peter Fiener (Environ. Model. Softw., 2019)

Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables. - Paul D. Wagner; Nicola Fohrer (Environ. Model. Softw., 2019)

Developing an improved user interface for a physically-based stream solute transport model. - Pandara V. Femeena; Indrajeet Chaubey; Antoine Aubeneau; Sara K. McMillan; Paul D. Wagner; Nicola Fohrer (Environ. Model. Softw., 2020)