Mareike Ließ

发表

Applying machine learning and differential evolution optimization for soil texture predictions at national scale (Germany)

Axel Don, Anika Gebauer, Ali Sakhaee, 2020 .

On the benefits of clustering approaches in digital soil mapping: an application example concerning soil texture regionalization

Mareike Ließ, Istvan Dunkl, I. Dunkl, 2021, SOIL.

Payments by modelled results: A novel design for agri-environmental schemes

Bartosz Bartkowski, Nils Droste, William Sidemo-Holm, 2021 .

Comparison of three supervised learning methods for digital soil mapping: Application to a complex terrain in the Ecuadorian Andes

Martin Hitziger, Mareike Ließ, Mareike Ließ, 2014 .

Functional soil-landscape modelling to estimate slope stability in a steep Andean mountain forest region

Bernd Huwe, Bruno Glaser, Mareike Ließ, 2011 .

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

Bernd Huwe, Bruno Glaser, Mareike Ließ, 2012 .

Soil organic carbon storage as a key function of soils - A review of drivers and indicators at various scales

Hans-Jörg Vogel, Ute Wollschläger, Birgit Lang, 2019, Geoderma.

The Sloping Mire Soil-Landscape of Southern Ecuador: Influence of Predictor Resolution and Model Tuning on Random Forest Predictions

Martin Hitziger, Bernd Huwe, Mareike Ließ, 2014 .

Spatial prediction of soil water retention in a Páramo landscape: Methodological insight into machine learning using random forest

Patricio Crespo, Mareike Ließ, Mareike Ließ, 2018 .

Spatial soil nutrients prediction using three supervised learning methods for assessment of land potentials in complex terrain

Bernd Huwe, Mareike Ließ, Soo-Jin Park, 2017 .