- Title
- Improving Landsat Predictions of Rangeland Fractional Cover with Multitask Learning and Uncertainty
- Creators
- Brady W Allred - University of MontanaBrandon T Bestelmeyer - Agricultural Research ServiceChad Boyd - Eastern Oregon UniversityChristopher Brown - GoogleKirk W Davies - Eastern Oregon UniversityMichael C Duniway - United States Geological SurveyLisa M Ellsworth - Oregon State UniversityTyler Erickson - GoogleSamuel D Fuhlendorf - Oklahoma State UniversityTimothy V Griffiths - Natural Resources Conservation ServiceVincent S. Jansen - University of IdahoMatthew O Jones - University of MontanaJason W Karl - University of IdahoAnna Knight - United States Geological SurveyJeremy D Maestas - Natural Resources Conservation ServiceJonathan J Maynard - University of Colorado BoulderSarah E McCord - Agricultural Research ServiceDavid E Naugle - University of MontanaHeath D Starns - Texas A&M UniversityDirac Twidwell - University of Nebraska–LincolnDaniel R Uden - University of Nebraska–Lincoln
- Publication Details
- Methods in Ecology and Evolution
- Identifiers
- 996630760401851
- Academic Unit
- Rangeland Center; Forest, Rangeland, and Fire Sciences
- Language
- English
- Resource Type
- Journal article
Journal article
Improving Landsat Predictions of Rangeland Fractional Cover with Multitask Learning and Uncertainty
Methods in Ecology and Evolution
2021
Appears in Rangeland Ecology & Management Collection
Metrics
1 Record Views