Uncertainty and sensitivity analysis for models with correlated parameters C Xu, GZ Gertner Reliability Engineering & System Safety 93 (10), 1563-1573, 2008 | 347 | 2008 |
The impact of interactions in spatial simulation of the dynamics of urban sprawl S Fang, GZ Gertner, Z Sun, AA Anderson Landscape and urban planning 73 (4), 294-306, 2005 | 279 | 2005 |
Eutrophication: nitrate flux in the Mississippi River GF McIsaac, MB David, GZ Gertner, DA Goolsby Nature 414 (6860), 166-168, 2001 | 259 | 2001 |
Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map G Wang, G Gertner, S Fang, AB Anderson Photogrammetric Engineering & Remote Sensing 69 (8), 889-898, 2003 | 233 | 2003 |
Improvement in mapping vegetation cover factor for the universal soil loss equation by geostatistical methods with Landsat Thematic Mapper images G Wang, S Wente, GZ Gertner, A Anderson International Journal of Remote Sensing 23 (18), 3649-3667, 2002 | 199 | 2002 |
Nitrate flux in the Mississippi River GF McIsaac, MB David, GZ Gertner, DA Goolsby Nature 414 (6860), 166-167, 2001 | 166 | 2001 |
Uncertainty assessment of soil erodibility factor for revised universal soil loss equation G Wang, G Gertner, X Liu, A Anderson Catena 46 (1), 1-14, 2001 | 162 | 2001 |
Extending a global sensitivity analysis technique to models with correlated parameters C Xu, G Gertner Computational Statistics & Data Analysis 51 (12), 5579-5590, 2007 | 157 | 2007 |
Spatial uncertainty analysis for mapping soil erodibility based on joint sequential simulation P Parysow, G Wang, G Gertner, AB Anderson Catena 53 (1), 65-78, 2003 | 138 | 2003 |
Spatial and temporal prediction and uncertainty of soil loss using the revised universal soil loss equation: a case study of the rainfall–runoff erosivity R factor G Wang, G Gertner, V Singh, S Shinkareva, P Parysow, A Anderson Ecological Modelling 153 (1-2), 143-155, 2002 | 137 | 2002 |
Modeling red pine tree survival with an artificial neural network BT Guan, G Gertner Forest Science 37 (5), 1429-1440, 1991 | 131 | 1991 |
Relating net nitrogen input in the Mississippi River basin to nitrate flux in the lower Mississippi River: A comparison of approaches GF McIsaac, MB David, GZ Gertner, DA Goolsby Journal of Environmental Quality 31 (5), 1610-1622, 2002 | 128 | 2002 |
Uncertainties in the response of a forest landscape to global climatic change C Xu, GZ Gertner, RM Scheller Global Change Biology 15 (1), 116-131, 2009 | 127 | 2009 |
A general first-order global sensitivity analysis method C Xu, GZ Gertner Reliability Engineering & System Safety 93 (7), 1060-1071, 2008 | 114 | 2008 |
An assessment of some nonsampling errors in a national survey using an error budget G Gertner, M Köhl Forest science 38 (3), 525-538, 1992 | 113 | 1992 |
Understanding and comparisons of different sampling approaches for the Fourier Amplitudes Sensitivity Test (FAST) C Xu, G Gertner Computational statistics & data analysis 55 (1), 184-198, 2011 | 108 | 2011 |
Approximating precision in simulation projections: an efficient alternative to Monte Carlo methods G Gertner Forest Science 33 (1), 230-239, 1987 | 99 | 1987 |
Remote sensing applications for sampling design of natural resources G Wang, G Gertner Remote Sensing of Natural Resources 5777, 23-44, 2013 | 87 | 2013 |
Potential effects of interaction between CO2 and temperature on forest landscape response to global warming C Xu, GZ Gertner, RM Scheller Global Change Biology 13 (7), 1469-1483, 2007 | 87 | 2007 |
The sensitivity of measurement error in stand volume estimation GZ Gertner Canadian Journal of Forest Research 20 (6), 800-804, 1990 | 87 | 1990 |