My primary research interest is in Pedometrics with a particular focus on remote/proximal soil sensing and Digital Soil Mapping. The core of the pedometric approach integrates soil system knowledge with applied statistics, Machine Learning, geoinformatics, and Remote Sensing. I apply the most recent technology in spatial data analysis to model and predict various environmental metrics such as soils, water, vegetation, and climate.
I’m interested in:
- Pedology and Digital Soil Mapping
- GIS, Remote and Proximal Sensing
- Spatial Data Analysis and Machine Learning
- Soil Health, Climate Change and Precision Agriculture
Latest
- Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils
- Delineation of Soil Management Zone Maps at the Regional Scale Using Machine Learning
- Machine Learning Models for Prediction of Soil Properties in the Riparian Forests
- Predicting Soils in the Riparian Forests
- Predicting Soils in the Riparian Forests
- Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates
- Evaluation of mathematical models for predicting particle size distribution using digital soil mapping in semiarid agricultural lands
- Predicting Particle Size Distribution
- Prediction of Soil Erosibility Index
- Prediction of Soils Using Spectroscopy
- Semi-supervised learning for the spatial extrapolation of soil information
- Semisupervised Learning for the Spatial Extrapolation
- Soil Texture Mapping Using Remote Sensing
- Spatial Extrapolation
- Spatial prediction of soil properties through hybridized random forest model and combination of reflectance spectroscopy and environmental covariates
- Towards robust smart data-driven soil erodibility index prediction under different scenarios
- A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties
- Model Averaging Techniques to Predict Soil Properties
- Multisensor Remote Sensing Data
- Predicting Soil Textural Classes Using Imbalanced Data
- Predicting Soil Textural Classes Using Random Forest Models, Learning from Imbalanced Dataset
- Spatiotemporal Assessment of SOC Using Machine Learning
- Spatiotemporal Assessment of Soil Organic Carbon Change Using Machine-Learning in Arid Regions
- Assessing changes in soil quality between protected and degraded forests using digital soil mapping for semiarid oak forests, Iran
- Soil Quality Between Protected and Degraded Forests
- Spatial Prediction of Soils
- Improving the spatial prediction of soil organic carbon using environmental covariates selection, A comparison of a group of environmental covariates
- Prediction of SOC Using Covariates Selection
- Land Degradation Modelling
- Soil Quality Variability in Management Zones
- Spatial variability of soil quality within management zones, Homogeneity and purity of delineated zones
- Fluorescent Pseudomonads
- Performance Evaluation of Phosphate-Solubilizing Fluorescent Pseudomonads in Minimizing Phosphorus Fertilizer Use and Improving Wheat Productivity, a Two-Year Field Study
- A statistical approach to Study Heavy Metal Distribution
- A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran
- Hybrid Evolutionary Models for Spatial Prediction of Soils
- Monitoring of spatiotemporal changes of soil salinity and alkalinity in eastern and central parts of Iran
- New hybrid evolutionary models for spatial prediction of soil properties in Kurdistan
- Spatiotemporal Changes of Soil Alkalinity
- A Review of the World Soil Museums
- A review of the world's soil museums and exhibitions
- Super Learning
- Land Use and SOC Change Detection over Time
- Land Use and Soil Organic Carbon Stocks—Change Detection over Time Using Digital Soil Assessment, A Case Study from Kamyaran Region, Iran (1988–2018)
- Prediction of River Suspended Sediment Load
- Prediction of river suspended sediment load using machine learning models and geo-morphometric parameters
- Effects of Outdoor Air Pollution on Mortality and Morbidity
- Evaluation of machine learning models for predicting the temporal variations of dust storm index in arid regions of Iran
- Long-term effects of outdoor air pollution on mortality and morbidity–prediction using nonlinear autoregressive and artificial neural networks models
- Machine Learning for Predicting Dust Storm
- Fourier Transform Infrared Spectroscopy to Predict SOC
- Land Suitability Assessment
- Predicting the Ground Level Pollutants
- Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing techniques
- Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon
- Dust Related Impacts of Mining Operations on Soil
- Dust-related impacts of mining operations on rangeland vegetation and soil, a case study in Yazd province, Iran
- Predicting weathering indices in soils using FTIR spectra and random forest models
- Predicting Weathering Indices Using FTIR Spectra
- Soil Organic Carbon
- Determining the contribution of environmental factors in controlling dust pollution during cold and warm months of western Iran using different data mining algorithms and game theory
- Environmental Factors in Controlling Dust Pollution
- SOC Prediction in Rangelands
- Soil Spectroscopy
- Spatial prediction of soil organic carbon stocks in an arid rangeland using machine learning algorithms
- Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions
- ANFIS Models to Predict Dust Concentration
- Assessing agricultural salt-affected land using digital soil mapping and hybridized random forests
- Assessing Salty Land Using Hybridized RF
- Hybrid Machine Learning
- Precision Agriculture
- Dust Pollution and Shapley Values
- Enhancing of ML Models Using the Super Learner
- Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping
- High resolution middle eastern soil attributes mapping via open data and cloud computing
- Middle Eastern Soil Mapping via Cloud Computing
- Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models
- Salt dome related soil salinity in southern Iran, Prediction and mapping with averaging machine learning models
- Salt Dome Related Soil Salinity Prediction
- Soil Salinity Prediction Using Wavelet and SVR
- Effect of Interceptor Drainage on Phosphorus Transport
- Effect of interceptor drainage on phosphorus transport and soil chemical characteristics under different cultivation conditions
- Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model
- Spatiotemporal Analysis of Heavy Metals
- Big Geospatial Data Analysis
- Bio-Inspired Hybridization of Artificial Neural Networks
- Bio-Inspired Hybridization of Artificial Neural Networks, An Application for Mapping the Spatial Distribution of Soil Texture Fractions
- Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data
- Rain Gauge Networks Using Remote Sensing
- Assessing the Influence of Soil Quality on Rainfed Wheat Yield
- The Effect of Soil Quality on Wheat Yield
- Convolutional Neural Networks
- Land Suitability Assessment and Agricultural Production Sustainability Using Machine Learning Models
- Land Suitability Assessment Using Machine Learning
- Impacts of vegetation anomalies and agricultural drought on wind erosion over Iran from 2000 to 2018
- Impacts of Vegetation Anomalies on Wind Erosion
- Conventional and Digital Soil Mapping in Iran
- Conventional and digital soil mapping in Iran, Past, present, and future
- Spatio-temporal dynamic of soil quality in the central Iranian desert modeled with machine learning and digital soil assessment techniques
- Spatiotemporal Dynamic of Soil Quality
- Resampling Strategies and Machine Learning
- Synthetic resampling strategies and machine learning for digital soil mapping in Iran
- Spatial Prediction of SOC Using ML Models
- Spatial prediction of soil organic carbon using machine learning techniques in western Iran
- Multi Task CNNs for Soil Mapping
- Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran
- Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran
- Spatial and Temporal Variation of Soil Salinity
- Remote and Vis-NIR spectra sensing potential for soil salinization estimation in the eastern coast of Urmia hyper saline lake, Iran
- Vis NIR Spectra for Soil Salinity Estimation
- Mapping of SOC Using Deep ANNs
- Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran
- Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space
- Prediction of SOC by Stacking of Models
- Synthetic Resampling Strategies
- Soil Enzyme Activity in Riparian Forests
- Soil enzyme activity variations in riparian forests in relation to plant species and soil depth
- Assessing soil organic carbon stocks under land-use change scenarios using random forest models
- SOC Stocks under Land-Use Changes
- Disaggregation of Conventional Soil Map
- Disaggregation of conventional soil map by generating multi realizations of soil class distribution
- Soil Erosion Prediction using GIS and RUSLE
- Soil Erosion Spatial Prediction using Digital Soil Mapping and RUSLE methods for Big Sioux River Watershed
- Prediction of Soil Texture Fractions
- The Spatial Prediction of Soil Texture Fractions in Arid Regions of Iran
- Digital Mapping of Soil Classes Using Ensemble of Models in Isfahan Region, Iran
- Mapping of Soil Classes Using Ensemble of Models
- Practical Aspects of Predicting Texture Data
- Some practical aspects of predicting texture data in digital soil mapping
- Automated Evaluation of Geo-environmental Modelling
- PMT, New analytical framework for automated evaluation of geo-environmental modelling approaches
- Assessing and monitoring the soil quality of forested and agricultural areas using soil-quality indices and digital soil-mapping in a semi-arid environment
- Soil Quality of Forested and Agricultural Areas
- Distribution of linear alkylbenzenes as a domestic sewage molecular marker in surface sediments of International Anzali Wetland in the southwest of the Caspian Sea, Iran
- Linear Alkylbenzenes in Wetland
- Development and analysis of the Soil Water Infiltration Global database
- Soil Water Infiltration Global Database
- Evaluating desertification using remote sensing technique and object-oriented classification algorithm in the Iranian central desert
- Remote Sensing and Object-Oriented Classification
- Assessing the effects of slope gradient and land use change on soil quality degradation through digital mapping of soil quality indices and soil loss rate
- Effects of Slope on Soil Quality
- Artificial bee colony feature selection algorithm combined with machine learning algorithms to predict vertical and lateral distribution of soil organic matter in South Dakota, USA
- Artificial Bee Colony to Predict SOC
- Assessment of soil quality indices for salt-affected agricultural land in Kurdistan Province, Iran
- Soil Quality for Salt-Affected Agricultural Land
- 3D SOC Map with Different Land Uses
- Spatial 3D distribution of soil organic carbon under different land use types
- Comparison of different methods for reconstruction of instantaneous peak flow data
- Reconstruction of Instantaneous Peak Flow
- Carbon Mapping
- Characterization and ecological risk of polycyclic aromatic hydrocarbons (PAHs) and n-alkanes in sediments of Shadegan international wetland, the Persian Gulf
- Polycyclic Aromatic Hydrocarbons in Wetland
- Digital mapping of cation exchange capacity using genetic programming and soil depth functions in Baneh region, Iran
- Mapping of CEC via genetic Programming
- Soil Structure and Landuse Practices
- Soil structure changes due to different land-use practices in the central Zagruos region, Iran
- Prediction of soil surface salinity in arid region of central Iran using auxiliary variables and genetic programming
- Soil Salinity Prediction Using Genetic Programming
- Comparison of artificial neural network and decision tree models in estimating spatial distribution of snow depth in a semi-arid region of Iran
- Spatial Distribution of Snow Depth
- Monitoring and assessment of soil erosion at micro-scale and macro-scale in forests affected by fire damage in northern Iran
- Soil Erosion at Microscale and Macroscale
- Predicting and mapping of soil particle-size fractions with adaptive neuro-fuzzy inference and ant colony optimization in central Iran
- Predicting Particle Size Fractions Using ANFIS
- Inversion of EM38 for 3D Mapping
- Probabilistic inversion of EM38 data for 3D soil mapping in central Iran
- k-NN for Predicting CEC
- Using the nonparametric k-nearest neighbor approach for predicting cation exchange capacity
- Digital mapping of soil organic carbon at multiple depths using different data mining techniques in Baneh region, Iran
- Mapping of SOC at Multiple Depths
- Soil Changes due to Desertification
- Soil physico-chemical, mineralogical, and micromorphological changes due to desertification processes in Yazd region, Iran
- Comparing data mining classifiers to predict spatial distribution of USDA-family soil groups in Baneh region, Iran
- Data Mining to Classify Soil Groups
- Modeling Soil Salinity along a Hillslope in Iran by Inversion of EM38 Data
- Modeling Soil Salinity by Inversion of EM38
- Digital Mapping of Soil Classes Using Decision Tree and Auxiliary Data in the Ardakan Region, Iran
- Mapping of Soil Classes Using Decision Tree
- Digital Mapping of Soil Salinity
- Digital mapping of soil salinity in Ardakan region, central Iran
- Drought Stress on Antioxidant Systems of Maize
- Effects of drought stress and rewatering on antioxidant systems and relative water content in different growth stages of maize (Zea mays L.) hybrids
- Estimating Mass Fractal Dimension
- Estimating Mass Fractal Dimension of Soil Using Artificial Neural Networks for Improved Prediction of Water Retention Curve
- Soil Binders to Control Soil Loss
- Using soil binders to control runoff and soil loss in steep slopes under simulated rainfall
- Evidences of Climatic Change
- Micromorphological evidences of climatic change in Yazd region, Iran