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 …

Prediction of soil organic carbon and the C: N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and …

T Zhou, Y Geng, C Ji, X Xu, H Wang, J Pan… - Science of the Total …, 2021 - Elsevier
Soil organic carbon (SOC) and soil carbon-to-nitrogen ratio (C: N) are the main indicators of
soil quality and health and play an important role in maintaining soil quality. Together with …

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 …

GlobalSoilMap France: High-resolution spatial modelling the soils of France up to two meter depth

VL Mulder, M Lacoste, AC Richer-de-Forges… - Science of the Total …, 2016 - Elsevier
This work presents the first GlobalSoilMap (GSM) products for France. We developed an
automatic procedure for mapping the primary soil properties (clay, silt, sand, coarse …

[HTML][HTML] Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland

A Baltensweiler, L Walthert, M Hanewinkel… - Geoderma …, 2021 - Elsevier
Spatial soil information in forests is crucial to assess ecosystem services such as carbon
storage, water purification or biodiversity. However, spatially continuous information on soil …

[HTML][HTML] Validation of uncertainty predictions in digital soil mapping

J Schmidinger, GBM Heuvelink - Geoderma, 2023 - Elsevier
It is quite common in digital soil mapping (DSM) to quantify the uncertainty of issued
predictions, that is to make probabilistic predictions. Yet, little attention has been paid to its …

No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America

M Guevara, GF Olmedo, E Stell, Y Yigini… - SOIL …, 2018 - soil.copernicus.org
Country-specific soil organic carbon (SOC) estimates are the baseline for the Global SOC
Map of the Global Soil Partnership (GSOCmap-GSP). This endeavor is key to explaining the …

Digital soil mapping of soil organic carbon stocks in Western Ghats, South India

S Dharumarajan, B Kalaiselvi, A Suputhra, M Lalitha… - Geoderma …, 2021 - Elsevier
Spatial information of soil carbon storage at national and global level is essential for soil
quality and environmental management. Improved knowledge on the amount and spatial …

Mapping soil organic carbon on a national scale: Towards an improved and updated map of Madagascar

N Ramifehiarivo, M Brossard, C Grinand… - Geoderma …, 2017 - Elsevier
Assessment of soil organic carbon stocks (SOC s) is highly relevant considering that SOC s
is the central driver in climate change mitigation and soil fertility. In Madagascar, a first …

How far can the uncertainty on a Digital Soil Map be known?: A numerical experiment using pseudo values of clay content obtained from Vis-SWIR hyperspectral …

P Lagacherie, D Arrouays, H Bourennane, C Gomez… - Geoderma, 2019 - Elsevier
Abstract Digital Soil Map uncertainty is usually evaluated from a set of independent soil
observations that are used to determine various uncertainty indicators. However, the number …