Modeling Depth of the Redox Interface at High Resolution at National Scale Using Random Forest and Residual Gaussian Simulation

Spatially differentiated strategies for reducing nitrate loads from agriculture in two Danish catchments

(2018) Fatemeh Hashemi et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms

(2018) Gábor Szatmári et al.   GEODERMA

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Multi-scale digital soil mapping with deep learning

(2018) Thorsten Behrens et al.   Scientific Reports

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

(2018) Tomislav Hengl et al.   PeerJ

Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

(2017) Jin Li et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Prediction of soil drainage classes in Denmark by means of decision tree classification

(2017) Anders Bjørn Møller et al.   GEODERMA

Using quantile regression forest to estimate uncertainty of digital soil mapping products

(2017) Kévin Vaysse et al.   GEODERMA

A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA

(2017) Katherine M. Ransom et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Decadal variations in groundwater quality: A legacy from nitrate leaching and denitrification by pyrite in a sandy aquifer

(2017) Søren Jessen et al.   WATER RESOURCES RESEARCH

Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification

(2017) Anthony J. Tesoriero et al.   WATER RESOURCES RESEARCH

Assessing soil carbon vulnerability in the Western USA by geospatial modeling of pyrogenic and particulate carbon stocks

(2017) Zia U. Ahmed et al.   Journal of Geophysical Research-Biogeosciences

Predicting groundwater redox status on a regional scale using linear discriminant analysis

(2016) M.E. Close et al.   JOURNAL OF CONTAMINANT HYDROLOGY

Economic gains from targeted measures related to non-point pollution in agriculture based on detailed nitrate reduction maps

(2016) Brian H. Jacobsen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting Redox Conditions in Groundwater at a Regional Scale

(2015) Anthony J. Tesoriero et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Digital mapping of soil organic matter for rubber plantation at regional scale: An application of random forest plus residuals kriging approach

(2015) Peng-Tao Guo et al.   GEODERMA

A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

(2015) Bernard T. Nolan et al.   JOURNAL OF HYDROLOGY

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

(2015) V. Rodriguez-Galiano et al.   ORE GEOLOGY REVIEWS

Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions

(2015) Tomislav Hengl et al.   PLoS One

A concept for estimating depth of the redox interface for catchment-scale nitrate modelling in a till area in Denmark

(2014) A. L. Hansen et al.   HYDROGEOLOGY JOURNAL

Uncertainty assessment of spatially distributed nitrate reduction potential in groundwater using multiple geological realizations

(2014) A.L. Hansen et al.   JOURNAL OF HYDROLOGY

Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark

(2014) Kabindra Adhikari et al.   PLoS One

Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)

(2014) Victor Rodriguez-Galiano et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Mapping gamma radiation and its uncertainty from weathering products in a Tasmanian landscape with a proximal sensor and random forest kriging

(2013) Raphael A. Viscarra Rossel et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Identifying the origin of groundwater samples in a multi-layer aquifer system with Random Forest classification

(2013) Paul Baudron et al.   JOURNAL OF HYDROLOGY

Nitrogen speciation and trends, and prediction of denitrification extent, in shallow US groundwater

(2013) Stephen R. Hinkle et al.   JOURNAL OF HYDROLOGY

Deeply rooted glaciotectonism in western Denmark: geological composition, structural characteristics and the origin of Varde hill-island

(2013) A.-S. HØYER et al.   JOURNAL OF QUATERNARY SCIENCE

Consequences of human modification of the global nitrogen cycle

(2013) J. W. Erisman et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Bringing Ecosystem Services into Economic Decision-Making: Land Use in the United Kingdom

(2013) I. J. Bateman et al.   SCIENCE

Nitrate reduction in geologically heterogeneous catchments — A framework for assessing the scale of predictive capability of hydrological models

(2013) Jens Christian Refsgaard et al.   SCIENCE OF THE TOTAL ENVIRONMENT

High-Resolution 3-D Mapping of Soil Texture in Denmark

(2013) Kabindra Adhikari et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Low phosphorus release but high nitrogen removal in two restored riparian wetlands inundated with agricultural drainage water

(2012) Carl Christian Hoffmann et al.   ECOLOGICAL ENGINEERING

Stakeholder driven update and improvement of a national water resources model

(2012) Anker Lajer Højberg et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Model Based Assessment of Nitrate Pollution of Water Resources on a Federal State Level for the Dimensioning of Agro-environmental Reduction Strategies

(2012) Petra Kuhr et al.   WATER RESOURCES MANAGEMENT

Application of machine learning methods to spatial interpolation of environmental variables

(2011) Jin Li et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Uncertainty in the spatial prediction of soil texture

(2011) Mareike Ließ et al.   GEODERMA

Redox characteristics and zonation of arsenic-affected multi-layers aquifers in the Choushui River alluvial fan, Taiwan

(2010) Chia-Hung Hsu et al.   JOURNAL OF HYDROLOGY

An integrated and physically based nitrogen cycle catchment model

(2009) J. R. Hansen et al.   HYDROLOGY RESEARCH

Factors affecting nitrate distribution in shallow groundwater under a beef farm in South Eastern Ireland

(2009) O. Fenton et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Field scale heterogeneity of redox conditions in till-upscaling to a catchment nitrate model

(2008) J. R. Hansen et al.   HYDROGEOLOGY JOURNAL

Estimation of suspended sediment concentration and yield using linear models, random forests and quantile regression forests

(2008) T. Francke et al.   HYDROLOGICAL PROCESSES

Source and transport controls on the movement of nitrate to public supply wells in selected principal aquifers of the United States

(2008) P. B. McMahon et al.   WATER RESOURCES RESEARCH

Geophysical imaging of watershed subsurface patterns and prediction of soil texture and water holding capacity

(2008) H. Abdu et al.   WATER RESOURCES RESEARCH

Geostatistical interpolation using copulas

(2008) András Bárdossy et al.   WATER RESOURCES RESEARCH

Geochemical conditions in groundwater systems: Implications for the attenuation of agricultural nitrate

(2007) Thabo Thayalakumaran et al.   AGRICULTURAL WATER MANAGEMENT

Redox Processes and Water Quality of Selected Principal Aquifer Systems

(2007) P.B. McMahon et al.   Groundwater

Delineation of spatial redox zones using discriminant analysis and geochemical modelling in arsenic‐affected alluvial aquifers

(2007) Jin‐Jing Lee et al.   HYDROLOGICAL PROCESSES