Digital mapping of GlobalSoilMap soil properties at a broad scale: A review
Soils are essential for supporting food production and providing ecosystem services but are
under pressure due to population growth, higher food demand, and land use competition …
under pressure due to population growth, higher food demand, and land use competition …
Pedology and digital soil mapping (DSM)
Pedology focuses on understanding soil genesis in the field and includes soil classification
and mapping. Digital soil mapping (DSM) has evolved from traditional soil classification and …
and mapping. Digital soil mapping (DSM) has evolved from traditional soil classification and …
Ten challenges for the future of pedometrics
Pedometrics, the application of mathematical and statistical methods to the study of the
distribution and genesis of soils, has broadened its scope over the past two decades. The …
distribution and genesis of soils, has broadened its scope over the past two decades. The …
Predicting soil properties in 3D: Should depth be a covariate?
Soil is a three-dimensional volume with property variability in all three dimensions. In Digital
Soil Mapping (DSM), the variation of soil properties down a profile is usually harmonised by …
Soil Mapping (DSM), the variation of soil properties down a profile is usually harmonised by …
Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning
Abstract Evaluation of spatial variability and mapping of soil properties is critical for
sustainable agricultural production in arid lands. The main objectives of the present study …
sustainable agricultural production in arid lands. The main objectives of the present study …
Digital mapping of soil organic carbon with machine learning in dryland of Northeast and North plain China
Due to the importance of soil organic carbon (SOC) in supporting ecosystem services,
accurate SOC assessment is vital for scientific research and decision making. However …
accurate SOC assessment is vital for scientific research and decision making. However …
Ground observations and environmental covariates integration for mapping of soil salinity: a machine learning-based approach
Soil salinization is a severe danger to agricultural activity in arid and semi-arid areas,
reducing crop production and contributing to land destruction. This investigation aimed to …
reducing crop production and contributing to land destruction. This investigation aimed to …
Integration of a process-based model into the digital soil mapping improves the space-time soil organic carbon modelling in intensively human-impacted area
E Xie, X Zhang, F Lu, Y Peng, J Chen, Y Zhao - Geoderma, 2022 - Elsevier
Soil organic carbon (SOC) in intensively human-impacted areas often presents extremely
complicated patterns in space and time, which brought a new challenge to space–time SOC …
complicated patterns in space and time, which brought a new challenge to space–time SOC …
Deep vertical rotary tillage depths improved soil conditions and cotton yield for saline farmland in South Xinjiang
Z Li, H Liu, T Wang, P Gong, P Li, L Li, Z Bai - European Journal of …, 2024 - Elsevier
Cotton is an important economic crop in Xinjiang, but soil salinization and soil caking have
severely limited cotton production in this region. The use of conventional tillage cannot …
severely limited cotton production in this region. The use of conventional tillage cannot …
Modelling the whole profile soil organic carbon dynamics considering soil redistribution under future climate change and landscape projections over the Lower Hunter …
Soil organic carbon (SOC) storage and redistribution across the landscape (through erosion
and deposition) are linked to soil physicochemical properties and can affect soil quality …
and deposition) are linked to soil physicochemical properties and can affect soil quality …