Younes Garosi

Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran

Use of the time series and multi-temporal features of Sentinel-1/2 satellite imagery to predict soil inorganic and organic carbon in a low-relief area with a semi-arid environment

Effects of different sources and spatial resolutions of environmental covariates on predicting soil organic carbon using machine learning in a semi-arid region of Iran

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

Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates

Feasibility of using environmental covariates and machine learning to predict the spatial variability of selected heavy metals in soils

Corrigendum to" Assessing the performance of GIS-based machine learning models with different accuracy measures for determining susceptibility to gully erosion"[Sci. Total …