Nussbaum, Madlene

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Number of items: 5.

Journal Article

Meyer, Hanna; Nussbaum, Madlene; Bossew, Peter; Petremann, Eric (2021). Mapping the geogenic radon potential for Germany by machine learning Science of The Total Environment, 754, p. 142291. Elsevier 10.1016/j.scitotenv.2020.142291

Baltensweiler, Andri; Walthert, Lorenz; Hanewinkel, Marc; Zimmermann, Stephan; Nussbaum, Madlene (2021). Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland Geoderma Regional, 27(13), e00437. Elsevier 10.1016/j.geodrs.2021.e00437

Deluz, Cédric; Nussbaum, Madlene; Sauzet, Ophélie; Gondret, Karine; Boivin, Pascal (2020). Evaluation of the Potential for Soil Organic Carbon Content Monitoring With Farmers Frontiers in Environmental Science, 8(113) Frontiers Media 10.3389/fenvs.2020.00113

Greiner, Lucie; Nussbaum, Madlene; Papritz, Andreas; Fraefel, Marielle; Zimmermann, Stefan; Schwab, Peter; Grêt-Regamey, Adrienne; Keller, Armin (2018). Assessment of soil multi-functionality to support the sustainable use of soil resources on the Swiss Plateau Geoderma Regional, 14, e00181. 10.1016/j.geodrs.2018.e00181

Hengl, Tomislav; Nussbaum, Madlene; Wright, Marvin N.; Heuvelink, Gerard B.M.; Gräler, Benedikt (2018). Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables PeerJ, 6, e5518. 10.7717/peerj.5518

This list was generated on Fri May 20 03:46:54 2022 CEST.
Provide Feedback