Steven W. Running
Affiliations: | Forestry | University of Montana, Missoula, MT |
Area:
Forestry and Wildlife Agriculture, Remote Sensing, StatisticsGoogle:
"Steven Running"Children
Sign in to add trainee| Joseph D. White | grad student | 1997 | Univ. Montana (Chemistry Tree) |
| Cristina Milesi | grad student | 2004 | Univ. Montana |
| Matthew C. Reeves | grad student | 2004 | Univ. Montana |
| Rachel A. Loehman | grad student | 2006 | Univ. Montana |
| Celine Boisvenue | grad student | 2007 | Univ. Montana |
| Jordan S. Golinkoff | grad student | 2013 | Univ. Montana |
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Publications
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| Camps-Valls G, Campos-Taberner M, Moreno-Martínez Á, et al. (2021) A unified vegetation index for quantifying the terrestrial biosphere. Science Advances. 7 |
| Moreno-Martínez Á, Izquierdo-Verdiguier E, Maneta MP, et al. (2020) Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud. Remote Sensing of Environment. 247: 111901 |
| Pan S, Pan N, Tian H, et al. (2020) Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling Hydrology and Earth System Sciences. 24: 1485-1509 |
| Running SW, Waring RH, Rydell RA. (2019) Physiological control of water flux in conifers : A computer simulation model. Oecologia. 18: 1-16 |
| He M, Kimball JS, Yi Y, et al. (2019) Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework Remote Sensing of Environment. 230: 111201 |
| Madani N, Kimball JS, Ballantyne AP, et al. (2018) Future global productivity will be affected by plant trait response to climate. Scientific Reports. 8: 2870 |
| Campos-Taberner M, Moreno-Martínez Á, García-Haro FJ, et al. (2018) Global estimation of biophysical variables from google earth engine platform Remote Sensing. 10: 1167 |
| Mildrexler DJ, Zhao M, Cohen WB, et al. (2018) Thermal Anomalies Detect Critical Global Land Surface Changes Journal of Applied Meteorology and Climatology. 57: 391-411 |
| Moreno-Martínez Á, Camps-Valls G, Kattge J, et al. (2018) A methodology to derive global maps of leaf traits using remote sensing and climate data Remote Sensing of Environment. 218: 69-88 |
| Jones MO, Running SW, Kimball JS, et al. (2018) Terrestrial primary productivity indicators for inclusion in the National Climate Indicators System Climatic Change. 163: 1855-1868 |