Abstract Knowledge about the spatial variability of soil aggregate stability indices, soil
organic carbon (SOC) in various aggregate sizes, and aggregation across the landscape is …

Sobha watershed, located in the Puruliya district of West Bengal, India, is experiencing
severe soil erosion due to specific geo-environmental settings and unscientific land …

This paper evaluates the ability of two machine learning algorithms, Random Forest (RF)
and Support Vector Machine (SVM), to generate land-use maps using the recently launched …

Using machine learning and earth observation data to capture real-world variability in
spatial predictive mapping depends on sample size, design, and spatial extent …

The mapping of soils in Africa is at least a century old. We currently have access to various
maps depicting mapping units locally and for the continent. In the past two decades, there …

Soil aggregate stability is an important index that reflects soil quality and anti-erosion ability
and strongly affects soil processes and functions. Bedrock strata dips (dip and anti-dip …

This research focuses on understanding the spatial variation of Soil Organic Matter (SOM)
and pH levels in the North of Morocco. The study employs a comprehensive approach to …

Aggregate stability is a crucial factor in predicting the development of the erosion process,
and it is particularly important in landscapes with high heterogeneity of soil cover, such as …

ABSTRACT A good understanding of the dynamics of soil organic matter and electrical
conductivity, in space and time dimension, is crucial for better agricultural and environmental …

Background Soil aggregates are the basic units of soil structure, and their stability is a key
indicator of soil quality and capacity to support ecosystem functions. The impacts of various …