Digital exploration of selected heavy metals using Random Forest and a set of environmental covariates at the watershed scale

Prediction of the concentration of cadmium in agricultural soil in the Czech Republic using legacy data, preferential sampling, Sentinel-2, Landsat-8, and ensemble models

(2023) Prince Chapman Agyeman et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Integration of chemical fractionation, Mössbauer spectrometry, and magnetic methods for identification of Fe phases bonding heavy metals in street dust

(2022) Beata Górka-Kostrubiec et al.   Journal of Environmental Sciences-China

Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning

(2022) Kumuduni N. Palansooriya et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

A deep learning neural network approach for predicting the factors influencing heavy-metal adsorption by clay minerals

(2022) Rui Liu et al.   CLAY MINERALS

Molecular-level insights into pH regulation of cation adsorption and exchange at clay particle edges

(2022) Sen Yang et al.   APPLIED CLAY SCIENCE

Mapping soil arsenic pollution at a brownfield site using satellite hyperspectral imagery and machine learning

(2022) Xiyue Jia et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Ecological risk assessment and source apportionment of heavy metals contamination: an appraisal based on the Tellus soil survey

(2021) Ali Keshavarzi et al.   ENVIRONMENTAL GEOCHEMISTRY AND HEALTH

Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model

(2021) Ruhollah Taghizadeh-Mehrjardi et al.   Remote Sensing

A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China

(2021) Yu-Qing Lai et al.   ECOLOGICAL INDICATORS

Probabilistic risk assessment of soil contamination related to agricultural and industrial activities

(2021) Amir Mohammadi et al.   ENVIRONMENTAL RESEARCH

Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran

(2021) Kamran Azizi et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups

(2020) Najmeh Asgari et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Determining the best ISUM (Improved stock unearthing Method) sampling point number to model long-term soil transport and micro-topographical changes in vineyards

(2019) Jesús Rodrigo-Comino et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion

(2019) Younes Garosi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data

(2019) Kun Tan et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

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

(2018) Mojtaba Zeraatpisheh et al.   GEODERMA

Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging

(2018) Asa Gholizadeh et al.   REMOTE SENSING OF ENVIRONMENT

Use of magnetic susceptibility to assess metals concentration in soils developed on a range of parent materials

(2018) Shamsollah Ayoubi et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

A generalized mean distance-based k-nearest neighbor classifier

(2018) Jianping Gou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Digital mapping of soil carbon fractions with machine learning

(2018) Hamza Keskin et al.   GEODERMA

Integrated GIS and multivariate statistical analysis for regional scale assessment of heavy metal soil contamination: A critical review

(2017) Deyi Hou et al.   ENVIRONMENTAL POLLUTION

The ecological risk, source identification, and pollution assessment of heavy metals in road dust: a case study in Rafsanjan, SE Iran

(2017) Milad Mirzaei Aminiyan et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Estimating Soil Moisture Patterns with Remote Sensing and Terrain Data at the Small Catchment Scale

(2017) Ingmar Schröter et al.   VADOSE ZONE JOURNAL

Support vector machine and artificial neural network to model soil pollution: a case study in Semnan Province, Iran

(2016) Mohamad Sakizadeh et al.   NEURAL COMPUTING & APPLICATIONS

Creating Multi-Temporal Composites of Airborne Imaging Spectroscopy Data in Support of Digital Soil Mapping

(2016) Sanne Diek et al.   Remote Sensing

Spatial distribution and environmental factors of catchment-scale soil heavy metal contamination in the dry-hot valley of Upper Red River in southwestern China

(2015) Xingwu Duan et al.   CATENA

The Split-Apply-Combine Strategy for Data Analysis

(2015) Hadley Wickham   Journal of Statistical Software

Contribution of Lithologic and Anthropogenic Factors to Surface Soil Heavy Metals in Western Iran Using Multivariate Geostatistical Analyses

(2012) Marzieh Taghipour et al.   SOIL & SEDIMENT CONTAMINATION

Spatial Distribution of Magnetic Properties and Selected Heavy Metals in Calcareous Soils as Affected by Land Use in the Isfahan Region, Central Iran

(2011) Z. DANKOUB et al.   PEDOSPHERE

Can Contaminant Elements in Soils Be Assessed by Remote Sensing Technology

(2011) Yunzhao Wu et al.   SOIL SCIENCE

Spatial patterns and variation of soil cadmium in Guangdong Province, China

(2010) H.H. Zhang et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Mobility of heavy metals in poorly developed carbonate soils in the Mediterranean region

(2008) A.L. Lafuente et al.   GEODERMA

Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy, and hyperspectral remote sensing: A case study of the Rodalquilar mining area, SE Spain

(2008) Eunyoung Choe et al.   REMOTE SENSING OF ENVIRONMENT