To deal with the global and regional issues including food security, climate change, land
degradation, biodiversity loss, water resource management, and ecosystem health, detailed …

Cropland soil carbon not only serves food security but also contributes to the stability of the
terrestrial ecosystem carbon pool due to the strong interconnection with atmospheric carbon …

Current methods of spatial prediction are based on either the First Law of Geography or the
statistical principle or the combination of these two. The Second Law of Geography …

Soil organic carbon (SOC) plays an important role in soil fertility and carbon sequestration,
and a better understanding of the spatial patterns of SOC is essential for soil resource …

Estimation of carbon and nitrogen stocks is important for quantifying carbon and nitrogen
sequestration as well as greenhouse gas emissions and inventorying national carbon and …

In large heterogeneous areas the relationship between soil organic carbon (SOC) and
environmental covariates may vary throughout the area, bringing about difficulty for accurate …

Determining the spatial distribution of soil groups accurately is crucial for managing soil
resources. However, limitations persist in the map** of soil groups using multi-textural …

With the rapid development of remote sensing (RS) technology, remote sensing images
provide an important data basis for soil type map**. In remote sensing images, temporal …

Existing predictive soil map** (PSM) methods often require soil sample data to be
sufficient to represent soil–environment relationships throughout the study area. However, in …

Numerous machine learning models have been developed for constructing the relationship
between soil classes or properties and its environmental covariates in digital soil map** …