Digital soil map** algorithms and covariates for soil organic carbon map** 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 map**
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …

Machine learning in landscape ecological analysis: a review of recent approaches

MS Stupariu, SA Cushman, AI Pleşoianu… - Landscape …, 2022 - Springer
Abstract Context Artificial Intelligence (AI) has rapidly developed over the past several
decades. Several related AI approaches, such as Machine Learning (ML), have been …

[HTML][HTML] SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

L Poggio, LM De Sousa, NH Batjes, GBM Heuvelink… - Soil, 2021 - soil.copernicus.org
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution
(250 m cell size) using state-of-the-art machine learning methods to generate the necessary …

Modelling and map** 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) …

Soil organic matter in major pedogenic soil groups

I Kögel-Knabner, W Amelung - Geoderma, 2021 - Elsevier
Soil organic matter (SOM) accumulation is different in certain soil groups with differences in
parent material, degree of weathering and mineral composition. These differences are …

Influence of soil properties, topography, and land cover on soil organic carbon and total nitrogen concentration: A case study in Qinghai-Tibet plateau based on …

L Dai, J Ge, L Wang, Q Zhang, T Liang, N Bolan… - Science of the Total …, 2022 - Elsevier
The effects of topography, land cover type, and soil physicochemical properties on the
distribution of soil organic carbon (SOC) and total nitrogen (TN) have drawn growing …

SoilGrids 2.0: producing quality-assessed soil information for the globe

LM de Sousa, L Poggio, NH Batjes… - Soil …, 2020 - soil.copernicus.org
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution
(250 metres cell size) using state-of-the-art machine learning methods to generate the …

Assessment of the soil fertility status in Benin (West Africa)–Digital soil map** using machine learning

KOL Hounkpatin, AY Bossa, Y Yira, MA Igue… - Geoderma …, 2022 - Elsevier
A soil fertility index map (SFIm) can provide key information to decision-makers in regard to
spatial planning in the context of sustainable land management. The establishment of such …