Jornada Bibliography

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Filters: Keyword is machine learning  [Clear All Filters]
2021
Allred BW, Bestelmeyer BT, Boyd CS, Brown C, Davies K.W, Duni D, Ellsworth LM, Erickson TA, Fuhlendorf S., Griffiths TV et al..  2021.  Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty. Methods in Ecology and Evolution. 12(5):841-846.
Brungard C, Nauman T, Duni D, Veblen K, Nehring K, White, II DA, Salley S.W, Anchang J.  2021.  Regional ensemble modeling reduces uncertainty for digital soil mapping. Geoderma. 397:114998.
2018
Jones MO, Allred BW, Naugle DE, Maestas J., Donnelly P, Metz L, Karl JW, Smith R, Bestelmeyer BT, Boyd CS et al..  2018.  Innovation in rangeland monitoring: annual, 30 m, plant functional type percent cover maps for U.S. rangelands, 1984–2017. Ecosphere. 9(9):1-19.
Peters DC, N. Burruss D, Rodriguez LL, McVey D, Elias EH, Pelzel-McCluskey A, Derner J.D, Schrader ST, Yao J, Pauszek SJ et al..  2018.  An integrated View of Complex Landscapes: A Big Data-Model Integration Approach to Transdisciplinary Science. Bioscience. 68:653-669.
2016
Peters DC, Okin GS.  2016.  A toolkit for ecosystem ecologists in the time of Big Science. Ecosystems.
2014
Peters DC, Havstad K, Cushing J, Tweedie C, Fuentes O, Villanueva-Rosales N.  2014.  Harnessing the power of big data: infusing the scientific method with machine learning to transform ecology. Ecosphere. 5(6)