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Herholz, Cornelia; Siegwart, Janina; Nussbaum, Madlene; Studer, Michael Hans-Peter; Burgos, Stéphane (2024). Funktionelle Eigenschaften von Reitplatzböden: zeitliche und räumliche Unterschiede Agrarforschung Schweiz Agroscope Liebefeld-Posieux ALP
Herholz, Cornelia; Siegwart, Janina; Nussbaum, Madlene; Studer, Michael Hans-Peter; Burgos, Stéphane (2024). Functional Properties of Equestrian Arena Surfaces: Temporal and Spatial Variations Agrarforschung Schweiz Agroscope Liebefeld-Posieux ALP
Herholz, Cornelia; Siegwart, Janina; Nussbaum, Madlene; Studer, Michael Hans-Peter; Burgos, Stéphane (2024). Caractéristiques fonctionnelles des sols équestres: différences temporelles et spatiales Agrarforschung Schweiz Agroscope Liebefeld-Posieux ALP
Nussbaum, Madlene; Zimmermann, Stephan; Walthert, Lorenz; Baltensweiler, Andri (2023). Benefits of hierarchical predictions for digital soil mapping—An approach to map bimodal soil pH Geoderma The Global Journal of Soil Science, 437, p. 116579. Elsevier 10.1016/j.geoderma.2023.116579
Herholz, Cornelia; Siegwart, Janina; Nussbaum, Madlene; Studer, Michael Hans-Peter; Burgos, Stéphane (2023). Large temporal variations of functional properties of outdoor equestrian arena surfaces and a new concept of evaluating reactivity with light weight deflectometer settlement curves Journal of Equine Veterinary Science, 129(104909), p. 104909. Elsevier 10.1016/j.jevs.2023.104909
Garosi, Younes; Ayoubi, Shamsollah; Nussbaum, Madlene; Sheklabadi, Mohsen (2022). Effects of different sources and spatial resolutions of environmental covariates on predicting soil organic carbon using machine learning in a semi-arid region of Iran Geoderma Regional, 29, e00513. Elsevier 10.1016/j.geodrs.2022.e00513
Baltensweiler, Andri; Walthert, Lorenz; Zimmermann, Stephan; Nussbaum, Madlene (2022). Hochauflösende Bodenkarten für den Schweizer Wald Schweizerische Zeitschrift für Forstwesen, 173(6), pp. 288-291. Schweizerischer Forstverein 10.3188/szf.2022.0288
Garosi, Younes; Ayoubi, Shamsollah; Nussbaum, Madlene; Sheklabadi, Mohsen; Nael, Mohsen; Kimiaee, Iman (2022). Use of the time series and multi-temporal features of Sentinel-1/2 satellite imagery to predict soil inorganic and organic carbon in a low-relief area with a semi-arid environment International Journal of Remote Sensing, 43(18), pp. 6856-6880. Taylor & Francis 10.1080/01431161.2022.2147037
Petermann, Eric; Meyer, Hanna; Nussbaum, Madlene; Bossew, Peter (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
Nussbaum, Madlene (2022). Machine learning and processing of large data In: Reference Module in Earth Systems and Environmental Sciences (pp. 509-520). Amsterdam, Netherlands: Elsevier 10.1016/B978-0-12-822974-3.00065-3
