Publications


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Found 14 publication(s)

  1. 1

Guio Blanco, C.M.; Brito Gómez, V.M.; Crespo, P. & Ließ, M. (2018): Spatial prediction of soil water retention in a Páramo landscape: Methodological insight into machine learning using random forest. Geoderma 316, 100-114.
Ließ, M.; Schmidt, J. & Glaser, B. (2016): Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning approaches. PLOS ONE 11(4), 1-22.
Ließ, M. (2015): Sampling for regression-based digital soil mapping: Closing the gap between statistical desires and operational applicability. Spatial Statistics 13, 106-122.
Hitziger, M. & Ließ, M. (2014): Comparison of Three Supervised Learning Methods for Digital Soil Mapping: Application to a Complex Terrain in the Ecuadorian Andes. Applied and Environmental Soil Science 2014, 10 pages.
Ließ, M.; Hitziger, M. & Huwe, B. (2014): The Sloping Mire Soil-Landscape of Southern Ecuador: Influence of Predictor Resolution and Model Tuning on Random Forest Predictions. Applied and Environmental Soil Science 2014(603132), 10 pages.
Ließ, M.; Glaser, B. & Huwe, B. (2012): Making use of the World Reference Base diagnostic horizons for the systematic description of the soil continuum - Application to the tropical mountain soil-landscape of southern Ecuador. CATENA 97, 20 -30.
Ließ, M.; Glaser, B. & Huwe, B. (2012): Uncertainty in the spatial prediction of soil texture - Comparison of regression tree and Random Forest models. Geoderma 170, 70-79.
Ließ, M. & Huwe, B. (30.09.2011). Uncertainty in soil regionalisation and its influence on slope stability estimation. Presented at Italian Workshop on Landslides, Naples, Italy.
Ließ, M.; Glaser, B. & Huwe, B. (2011): Soil-Landscape Modelling - Reference Soil Group Probability Prediction in Southern Ecuador. In: E. Burcu Özkaraova Güngör (eds.): Principles, Application and Assessment in Soil Science (1 1), INTECH, http://www.intechopen.com/books/show/title/principles-application-and-assessment-in-soil-science, 241-256.
Ließ, M. (2011): SOIL-LANDSCAPE MODELLING IN AN ANDEAN MOUNTAIN FOREST REGION IN SOUTHERN ECUADOR University of Bayreuth, phd thesis
Ließ, M.; Glaser, B. & Huwe, B. (2011): Functional soil-landscape modelling to estimate slope stability in a steep Andean mountain forest region . Geomorphology 132, 287-299.
Ließ, M.; Glaser, B. & Huwe, B. (2009): Digital Soil Mappingin Southern Ecuador. Erdkunde 63, 309-319.
  1. 1


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