| A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA M Luck, J Wu Landscape ecology 17, 327-339, 2002 | 1362 | 2002 |
| Multiscale analysis of landscape heterogeneity: scale variance and pattern metrics J Wu, DE Jelinski, M Luck, PT Tueller Geographic information sciences 6 (1), 6-19, 2000 | 523 | 2000 |
| The urban funnel model and the spatially heterogeneous ecological footprint MA Luck, GD Jenerette, J Wu, NB Grimm Ecosystems 4, 782-796, 2001 | 285 | 2001 |
| A weighted aggregation of spatially distinct hydrological indicators F Gassert, P Reig, T Luo, A Maddocks World Resources Institute, 108, 2013 | 179* | 2013 |
| Aqueduct global maps 2.1 F Gassert, P Reig, T Shiao, M Landis, M Luck | 172 | 2015 |
| Aqueduct global maps 2.1: Constructing decision-relevant global water risk indicators F Gassert, P Reig, T Shiao, M Luck, LLC ISciences | 153 | 2015 |
| Aqueduct water stress projections: decadal projections of water supply and demand using CMIP5 GCMs M Luck, M Landis, F Gassert Washington, DC, 2015 | 128 | 2015 |
| Nutrient and Sediment Production, Watershed Characteristics, and Land Use in the Tahoe Basin, California‐Nevada1 R Coats, M Larsen, A Heyvaert, J Thomas, M Luck, J Reuter JAWRA Journal of the American Water Resources Association 44 (3), 754-770, 2008 | 45 | 2008 |
| “Aqueduct global maps 2.0.” working paper F Gassert, M Landis, M Luck, P Reig, T Shiao World Resources Institute Aqueduct Metadata Document, 2014 | 12 | 2014 |
| Mekong river basin study F Gassert, P Rai, P Reig, M Luck World Resour. Inst. Work. Pap, 2012 | 6 | 2012 |
| Aqueduct Global Maps 2.1: Constructing Decision-Relevant Global Water Risk Indicators. In. Washington, DC: World Resources Institute F Gassert, M Luck, M Landis, P Reig, T Shiao | 5 | 2014 |
| Orange-Senqu River Basin Study P Reig, F Gassert, M Luck Working Paper, 2013 | 5 | 2013 |
| Scale-dependence of Landscape Pattern: Interactions Among Climate, Topography, and Latitudinal Gradients MA Luck University of New Mexico, 2007 | 2 | 2007 |
| Reducing a Stream Network's Horton-Strahler Stream Order Improves the Skill of Flood Inundation Maps from Height Above Nearest Drainage Method F Aristizabal, G Petrochenkov, F Salas, H Zamanisabzi, M Luck, B Avant, ... Authorea Preprints, 2022 | 1 | 2022 |
| Aqueduct Global Maps 2.1 Indicators F Gassert, P Reig, T Shiao, M Luck WRI: World Resources Institute, 2015 | 1 | 2015 |
| Improvements in Continental-scale Flood Inundation Mapping at NOAA's Office of Water Prediction C Pruitt, D Giardino, F Salas, R Spies, R Hanna, M Luck, JM Coll, ... 105th AMS Annual Meeting, 2025 | | 2025 |
| Enhancing Flood Inundation Predictions: Integrating AI-Driven Bathymetric Data and Manning’s Roughness Coefficients HH Safa, C Pruitt, R Hanna, R Spies, AM Rad, DJ Giardino, M Luck, ... AGU24, 2024 | | 2024 |
| High Resolution Flood Inundation Mapping Performance Evaluation and Impact Assessment E Kaufman, C Pruitt, FR Salas, DJ Giardino, E Deardorff, A Forghani, ... AGU24, 2024 | | 2024 |
| A Helping HAND: Empowering Community-Scale Disaster Resilience through Continental-Scale Flood Inundation Modelling E Deardorff, C Pruitt, DJ Giardino, A Forghani, R Hanna, L Keys, M Luck, ... WaterSciCon24, 2024 | | 2024 |
| Calibrating HAND Derived Synthetic Rating Curves Using HEC-RAS Based Flood Inundation Results A Forghani, C Pruitt, R Spies, M Luck, R Hanna, L Keys, JM Coll, ... WaterSciCon24, 2024 | | 2024 |
Francis GassertWorld Resources Institute在 wri.org 的电子邮件经过验证
