Mareike Ließ

发表

Uncertainty in the spatial prediction of soil texture: Comparison of regression tree and Random Forest models

B. Huwe, B. Glaser, Mareike Ließ, 2012 .

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 .

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 .

Quantitative Evaluation of Soil Functions: Potential and State

M. Wiesmeier, U. Wollschläger, H. Vogel, 2019, Front. Environ. Sci..

Error propagation in spectrometric functions of soil organic carbon

U. Werban, Mareike Ließ, I. Merbach, 2019 .

Development of pedotransfer functions for water retention in tropical mountain soil landscapes: spotlight on parameter tuning in machine learning

Mareike Ließ, Victor M. Brito Gomez, Monja Ellinger, 2020, SOIL.

Optimisation in machine learning: An application to topsoil organic stocks prediction in a dry forest ecosystem

Mareike Ließ, Victor M. Brito Gomez, Anika Gebauer, 2019, Geoderma.

Development of pedotransfer functions for tropical mountain soilscapes: Spotlight on parameter tuning in machine learning

Mareike Ließ, Victor M. Brito Gomez, Monja Ellinger, 2019 .

Error propagation in spectrometric functions of soil organic carbon

U. Werban, Mareike Ließ, I. Merbach, 2019, SOIL.

Environmental drivers of spatial patterns of topsoil nitrogen and phosphorus under monsoon conditions in a complex terrain of South Korea

Soo-Jin Park, B. Huwe, Mareike Ließ, 2017, PloS one.

Soil-Landscape Modelling – Reference Soil Group Probability Prediction in Southern Ecuador

B. Huwe, B. Glaser, Mareike Ließ, 2011 .

Can soil spectroscopy contribute to soil organic carbon monitoring on agricultural soils?

Mareike Ließ, Javier Reyes, 2022 .

Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms

A. Don, Mareike Ließ, Anika Gebauer, 2022, SOIL.

Soil-Landscape Modelling in an Andean Mountain Forest Region in Southern Ecuador

Mareike Ließ, 2011 .

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.

Performance of three machine learning algorithms for predicting soil organic carbon in German agricultural soil

A. Don, Mareike Ließ, Anika Gebauer, 2021 .

Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches

Johannes Schmidt, Mareike Ließ, Bruno Glaser, 2016, PloS one.

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 .

Natural Landslides Which Impact Current Regulating Services: Environmental Preconditions and Modeling

Boris Schröder, Julia Wagemann, Andreas Huth, 2013 .

Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile

A. Don, Mareike Ließ, Anika Gebauer, 2021, Frontiers in Environmental Science.

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.

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 .

Sampling for regression-based digital soil mapping: Closing the gap between statistical desires and operational applicability

Mareike Ließ, Mareike Ließ, 2015 .

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

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

Topsoil Texture Regionalization for Agricultural Soils in Germany—An Iterative Approach to Advance Model Interpretation

A. Don, M. Poggio, Mareike Ließ, 2022, Frontiers in Soil Science.

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

Bernd Huwe, Bruno Glaser, Mareike Ließ, 2011 .

At the interface between domain knowledge and statistical sampling theory: Conditional distribution based sampling for environmental survey (CODIBAS)

Mareike Ließ, Mareike Ließ, 2020 .

On-the-Go Vis-NIR Spectroscopy for Field-Scale Spatial-Temporal Monitoring of Soil Organic Carbon

Mareike Ließ, Javier Reyes, 2023, Agriculture.

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 .

Spectral Data Processing for Field-Scale Soil Organic Carbon Monitoring

Mareike Ließ, Javier Reyes, 2024, Sensors.

Deep Learning with a Multi-Task Convolutional Neural Network to Generate a National-Scale 3D Soil Data Product: The Particle Size Distribution of the German Agricultural Soil Landscape

Mareike Ließ, Ali Sakhaee, 2024, Agriculture.