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 …
Soil organic carbon storage as a key function of soils-A review of drivers and indicators at various scales
M Wiesmeier, L Urbanski, E Hobley, B Lang… - Geoderma, 2019 - Elsevier
The capacity of soils to store organic carbon represents a key function of soils that is not only
decisive for climate regulation but also affects other soil functions. Recent efforts to assess …
decisive for climate regulation but also affects other soil functions. Recent efforts to assess …
Spatial heterogeneity and environmental predictors of permafrost region soil organic carbon stocks
Large stocks of soil organic carbon (SOC) have accumulated in the Northern Hemisphere
permafrost region, but their current amounts and future fate remain uncertain. By analyzing …
permafrost region, but their current amounts and future fate remain uncertain. By analyzing …
Predicting and mapping of soil organic carbon using machine learning algorithms in Northern Iran
Estimation of the soil organic carbon (SOC) content is of utmost importance in understanding
the chemical, physical, and biological functions of the soil. This study proposes machine …
the chemical, physical, and biological functions of the soil. This study proposes machine …
Modelling and mapping soil organic carbon stocks in Brazil
Brazil has extensive forests and savannas on deep weathered soils and plays a key role in
the discussions about carbon sequestration, but the distribution of soil organic carbon (SOC) …
the discussions about carbon sequestration, but the distribution of soil organic carbon (SOC) …
Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates
In the digital soil mapping (DSM) framework, machine learning models quantify the
relationship between soil observations and environmental covariates. Generally, the most …
relationship between soil observations and environmental covariates. Generally, the most …
Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review
This article reviews the current research and applications of various digital soil mapping
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …
Remote sensing techniques for soil organic carbon estimation: A review
Towards the need for sustainable development, remote sensing (RS) techniques in the
Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm) region could assist …
Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm) region could assist …
Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran
Abstract Knowledge about distribution of soil properties over the landscape is required for a
variety of land management applications and resources, modeling, and monitoring …
variety of land management applications and resources, modeling, and monitoring …
Digital mapping of soil carbon fractions with machine learning
H Keskin, S Grunwald, WG Harris - Geoderma, 2019 - Elsevier
Our understanding of the spatial distribution of soil carbon (C) pools across diverse land
uses, soils, and climatic gradients at regional scale is still limited. Research in digital soil …
uses, soils, and climatic gradients at regional scale is still limited. Research in digital soil …