Digital mapping of GlobalSoilMap soil properties at a broad scale: A review

S Chen, D Arrouays, VL Mulder, L Poggio, B Minasny… - Geoderma, 2022 - Elsevier
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 …

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 …

Spatial heterogeneity and environmental predictors of permafrost region soil organic carbon stocks

U Mishra, G Hugelius, E Shelef, Y Yang, J Strauss… - Science …, 2021 - science.org
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 …

Predicting and mapping of soil organic carbon using machine learning algorithms in Northern Iran

M Emadi, R Taghizadeh-Mehrjardi, A Cherati… - Remote Sensing, 2020 - mdpi.com
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 …

Modelling and mapping soil organic carbon stocks in Brazil

LC Gomes, RM Faria, E de Souza, GV Veloso… - Geoderma, 2019 - Elsevier
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) …

Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates

M Zeraatpisheh, Y Garosi, HR Owliaie, S Ayoubi… - Catena, 2022 - Elsevier
In the digital soil mapping (DSM) framework, machine learning models quantify the
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

S Lamichhane, L Kumar, B Wilson - Geoderma, 2019 - Elsevier
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 …

Remote sensing techniques for soil organic carbon estimation: A review

T Angelopoulou, N Tziolas, A Balafoutis, G Zalidis… - Remote Sensing, 2019 - mdpi.com
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 …

Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran

M Zeraatpisheh, S Ayoubi, A Jafari, S Tajik, P Finke - Geoderma, 2019 - Elsevier
Abstract Knowledge about distribution of soil properties over the landscape is required for a
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 …