A common practice in digital soil map** (DSM) is to incorporate many environmental
covariates into a machine-learning algorithm to predict the spatial patterns of soil attributes …

Grassland ecosystem is one of the largest ecosystems, which naturally occurs on all
continents excluding Antarctica and provides both ecological and economic functions. The …

Soil organic carbon (SOC) has a large impact on soil quality and global climate change. It is
therefore important to be able to predict SOC accurately to promote sustainable soil …

Industrial and agricultural activities are develo** faster than the public policy on the use of
soil resources. The world needs more information about soil for land use planning and …

Indices derived from remotely-sensed imagery are commonly used to predict soil properties
with digital soil map** (DSM) techniques. The use of images from single dates or a small …

Digital soil map** has been introduced as a viable alternative to the traditional map**
methods due to being fast and cost-effective. The objective of the present study was to …

The spatial distribution of soil organic carbon is an important factor in land management
decision making, climate change mitigation and landscape planning. In Scotland, where …