Machine learning in coupled wildfire-water supply risk assessment: Data science toolkit
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W[2018AGUFMNH23E0896H]
LA["Linked Authors (0)"]
LI["Linked Institutions (5)"]
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- ADS bibcode
- 2018AGUFMNH23E0896H
- year
- 2018
- Listed Authors
- Hallema, D. W.
- Sun, G.
- Caldwell, P. V.
- Robinne, F.
- Bladon, K. D.
- Mordecai, R. S.
- Saia, S. M.
- McNulty, S.
- Listed Institutions
- USDA Forest Service Raleigh, Research Triangle Park, NC, United States
- Eastern Forest Environmental Threat Assessment Center, USDA Forest Svc, Raleigh, NC, United States
- Coweeta Hydrologic Laboratory, USDA Forest Svc, Raleigh, NC, United States
- University of Alberta, Edmonton, AB, Canada
- Department of Forest Engineering, Resources, and Management, Oregon State University, Corvallis,, OR, United States
- South Atlantic Landscape Conservation Cooperative, U.S. Fish and Wildlife Service, Raleigh, NC, United States
- Cornell University, Ithaca, NY, United States
- Eastern Forest Environmental Threat Assessment Center, USDA Forest Svc, Raleigh, NC, United States
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