Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty
Brady Allred(Oklahoma State University), Daniel R. Uden(University of Nebraska–Lincoln), Heath D. Starns(Texas A&M University System), Jason W. Karl(University of Idaho), Tyler Erickson(Google (United States)), Kirk W. Davies(Agricultural Research Service), Jeremy D. Maestas(Natural Resources Conservation Service), Jonathan J. Maynard(University of Colorado Boulder), Brandon T. Bestelmeyer(New Mexico State University), Anna C. Knight(United States Geological Survey), Christopher F. Brown(Google (United States)), Vincent Jansen(University of Idaho), Dirac Twidwell(University of Nebraska–Lincoln), Michael C. Duniway(United States Geological Survey), David E. Naugle(University of Montana), Sarah E. McCord(Agricultural Research Service), Lisa M. Ellsworth(Oregon Department of Fish and Wildlife), Matthew Jones(University of Montana), Timothy V. Griffiths(Natural Resources Conservation Service), Chad S. Boyd(Eastern Oregon University), Samuel D. Fuhlendorf(Oklahoma State University)
Cited by 279
Related Papers
Climate change reduces extent of temperate drylands and intensifies drought in deep soils
|Nature Communications|2017|385
Historical and Modern Disturbance Regimes, Stand Structures, and Landscape Dynamics in Piñon–Juniper Vegetation of the Western United States
|Rangeland Ecology & Management|2009|366
Validation of a 30 m resolution flood hazard model of the conterminous <scp>U</scp>nited <scp>S</scp>tates
|Water Resources Research|2017|361
Innovation in rangeland monitoring: annual, 30 m, plant functional type percent cover maps for U.S. rangelands, 1984–2017
|Ecosphere|2018|258
Drivers of seedling establishment success in dryland restoration efforts
|Nature Ecology & Evolution|2021|237