Digital Mapping of Soil Properties Using Ensemble Machine Learning Approaches in an Agricultural Lowland Area of Lombardy, Italy

Using an Ensemble Learning Approach in Digital Soil Mapping of Soil pH for the Thompson-Okanagan Region of British Columbia

(2022) Jin Zhang et al.   CANADIAN JOURNAL OF SOIL SCIENCE

Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping

(2021) Ruhollah Taghizadeh-Mehrjardi et al.   GEODERMA

Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland

(2021) Andri Baltensweiler et al.   Geoderma Regional

Model averaging for mapping topsoil organic carbon in France

(2020) Songchao Chen et al.   GEODERMA

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

(2020) Ruhollah Taghizadeh-Mehrjardi et al.   Remote Sensing

Assessment of calanchi and rill-interrill erosion susceptibility in northern Liguria, Italy: A case study using a probabilistic modelling framework

(2020) Michael Maerker et al.   GEODERMA

High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms

(2020) Tao Zhou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

(2020) Mostafa Emadi et al.   Remote Sensing

Hypotheses, machine learning and soil mapping

(2020) Alexandre M.J.-C. Wadoux et al.   GEODERMA

Sentinel-2 image capacities to predict common topsoil properties of temperate and Mediterranean agroecosystems

(2019) E. Vaudour et al.   REMOTE SENSING OF ENVIRONMENT

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data

(2019) Patrick Schratz et al.   ECOLOGICAL MODELLING

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

(2019) Matheus Henrique Dal Molin Ribeiro et al.   APPLIED SOFT COMPUTING

Selecting appropriate machine learning methods for digital soil mapping

(2019) Yones Khaledian et al.   APPLIED MATHEMATICAL MODELLING

Importance of terrain attributes in relation to the spatial distribution of soil properties at the micro scale: a case study

(2018) Vivekananthan Kokulan et al.   CANADIAN JOURNAL OF SOIL SCIENCE

Spatial variability of soil texture fractions and pH in a flood plain (case study from eastern Iran)

(2018) Mohammad Reza Pahlavan-Rad et al.   CATENA

Extent to which pH and topographic factors control soil organic carbon level in dry farming cropland soils of the mountainous region of Southwest China

(2018) Chenglong Tu et al.   CATENA

Open digital mapping as a cost-effective method for mapping peat thickness and assessing the carbon stock of tropical peatlands

(2018) Rudiyanto et al.   GEODERMA

High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia

(2018) Bin Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

How far can the uncertainty on a Digital Soil Map be known?: A numerical experiment using pseudo values of clay content obtained from Vis-SWIR hyperspectral imagery

(2018) Philippe Lagacherie et al.   GEODERMA

Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran

(2018) Mojtaba Zeraatpisheh et al.   GEODERMA

Merging country, continental and global predictions of soil texture: Lessons from ensemble modelling in France

(2018) Manon Caubet et al.   GEODERMA

Digital mapping of soil carbon fractions with machine learning

(2018) Hamza Keskin et al.   GEODERMA

Prediction of topsoil texture for Region Centre (France) applying model ensemble methods

(2017) Mercedes Román Dobarco et al.   GEODERMA

Mapping Soil Organic Carbon Using Local Terrain Attributes: A Comparison of Different Polynomial Models

(2017) Xiaodong SONG et al.   PEDOSPHERE

More Data or a Better Model? Figuring Out What Matters Most for the Spatial Prediction of Soil Carbon

(2017) P.D.S.N. Somarathna et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Recent progress and future prospect of digital soil mapping: A review

(2017) Gan-lin ZHANG et al.   Journal of Integrative Agriculture

Spatial prediction of soil surface texture in a semiarid region using random forest and multiple linear regressions

(2016) César da Silva Chagas et al.   CATENA

The effectiveness of digital soil mapping to predict soil properties over low-relief areas

(2016) Zohreh Mosleh et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Aggregation of classifiers ensemble using local discriminatory power and quantiles

(2016) Bartosz Swiderski et al.   EXPERT SYSTEMS WITH APPLICATIONS

An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping

(2016) Brandon Heung et al.   GEODERMA

Linking soils to ecosystem services — A global review

(2016) Kabindra Adhikari et al.   GEODERMA

Optimal Spatial Prediction Using Ensemble Machine Learning

(2016) Molly Margaret Davies et al.  

Optimal Spatial Prediction Using Ensemble Machine Learning

(2016) Molly Margaret Davies et al.   International Journal of Biostatistics

Machine learning for predicting soil classes in three semi-arid landscapes

(2015) Colby W. Brungard et al.   GEODERMA

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Regression Methods for Combining Multiple Classifiers

(2014) T. Górecki et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark

(2014) Kabindra Adhikari et al.   PLoS One

Uncertainty in the spatial prediction of soil texture

(2011) Mareike Ließ et al.   GEODERMA

Comparison of point forecast accuracy of model averaging methods in hydrologic applications

(2010) Cees G. H. Diks et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Estimating soil moisture using remote sensing data: A machine learning approach

(2009) Sajjad Ahmad et al.   ADVANCES IN WATER RESOURCES

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW

Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis

(2008) R. Grimm et al.   GEODERMA