E-LIB Suche - Ergebnisse für: Nussbaum, Madlene

1

Benefits of hierarchical predictions for digital soil mappi..:

Nussbaum, Madlene ; Zimmermann, Stephan ; Walthert, Lorenz.
Geoderma. 437 (2023) - p. 116579 , 2023

2

Large Temporal Variations of Functional Properties of Outdo..:

Herholz, Conny ; Siegwart, Janina ; Nussbaum, Madlene..
Journal of Equine Veterinary Science. 129 (2023) - p. 104909 , 2023

Link: https://doi.org/10.1016/..

3

Effects of different sources and spatial resolutions of env..:

Garosi, Younes ; Ayoubi, Shamsollah ; Nussbaum, Madlene.
Geoderma Regional. 29 (2022) - p. e00513 , 2022

Link: https://doi.org/10.1016/..

4

Machine learning and processing of large data:

, In: Reference Module in Earth Systems and Environmental Sciences,

Nussbaum, Madlene , 2022

Link: https://doi.org/10.1016/..

5

Use of the time series and multi-temporal features of Senti..:

Garosi, Younes ; Ayoubi, Shamsollah ; Nussbaum, Madlene...
International Journal of Remote Sensing. 43 (2022) 18 - p. 6856-6880 , 2022

Link: https://doi.org/10.1080/..

6

Mapping the geogenic radon potential for Germany by machine..:

Petermann, Eric ; Meyer, Hanna ; Nussbaum, Madlene.
Science of The Total Environment. 754 (2021) - p. 142291 , 2021

Link: https://doi.org/10.1016/..

7

Machine learning based soil maps for a wide range of soil p..:

Baltensweiler, Andri ; Walthert, Lorenz ; Hanewinkel, Marc..
Geoderma Regional. 27 (2021) - p. e00437 , 2021

Link: https://doi.org/10.1016/..

8

Evaluation of the Potential for Soil Organic Carbon Content..:

Deluz, Cédric ; Nussbaum, Madlene ; Sauzet, Ophélie..
Frontiers in Environmental Science. 8 (2020) - p. , 2020

Link: https://doi.org/10.3389/..

9

Random forest as a generic framework for predictive modelin..:

Hengl, Tomislav ; Nussbaum, Madlene ; Wright, Marvin N...
PeerJ. 6 (2018) - p. e5518 , 2018

Link: https://doi.org/10.7717/..

10

Evaluation of digital soil mapping approaches with large se..:

Nussbaum, Madlene ; Spiess, Kay ; Baltensweiler, Andri...
SOIL. 4 (2018) 1 - p. 1-22 , 2018

Link: https://doi.org/10.5194/..

11

Uncertainty indication in soil function maps – transparent ..:

Greiner, Lucie ; Nussbaum, Madlene ; Papritz, Andreas...
SOIL. 4 (2018) 2 - p. 123-139 , 2018

Link: https://doi.org/10.5194/..

12

Assessment of soil multi-functionality to support the susta..:

Greiner, Lucie ; Nussbaum, Madlene ; Papritz, Andreas...
Geoderma Regional. 14 (2018) - p. e00181 , 2018

Link: https://doi.org/10.1016/..

13

Mapping of soil properties at high resolution in Switzerlan..:

Nussbaum, Madlene ; Walthert, Lorenz ; Fraefel, Marielle..
SOIL. 3 (2017) 4 - p. 191-210 , 2017

Link: https://doi.org/10.5194/..

14

Pedotransfer function to predict density of forest soils in..:

Nussbaum, Madlene ; Papritz, Andreas ; Zimmermann, Stephan.
Journal of Plant Nutrition and Soil Science. 179 (2016) 3 - p. 321-326 , 2016

Link: https://doi.org/10.1002/..

15

Benefits of hierarchical predictions for digital soil mappi..:

Nussbaum, Madlene ; Zimmermann, Stephan ; Walthert, Lorenz.
https://arbor.bfh.ch/19669/. , 2023

Link: https://arbor.bfh.ch/196..