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 …
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 …
Digital soil mapping: A brief history and some lessons
B Minasny, AB McBratney - Geoderma, 2016 - Elsevier
Digital soil mapping (DSM) is a successful sub discipline of soil science with an active
research output. The success of digital soil mapping is a confluence of several factors in the …
research output. The success of digital soil mapping is a confluence of several factors in the …
Exploring machine learning models for soil nutrient properties prediction: A systematic review
Agriculture is essential to a flourishing economy. Although soil is essential for sustainable
food production, its quality can decline as cultivation becomes more intensive and demand …
food production, its quality can decline as cultivation becomes more intensive and demand …
[HTML][HTML] Predictive soil mapping with R
T Hengl, RA MacMillan - OpenGeoHub Foundation: Wageningen …, 2019 - soilmapper.org
In this chapter we review the statistical theory for soil mapping. We focus on models
considered most suitable for practical implementation and use with soil profile data and …
considered most suitable for practical implementation and use with soil profile data and …
Do more detailed environmental covariates deliver more accurate soil maps?
A Samuel-Rosa, GBM Heuvelink, GM Vasques… - Geoderma, 2015 - Elsevier
In this study we evaluated whether investing in more spatially detailed environmental
covariates improves the accuracy of digital soil maps. We used a case study from Southern …
covariates improves the accuracy of digital soil maps. We used a case study from Southern …
Digital mapping of zinc in urban topsoil using multisource geospatial data and random forest
This study aimed to map the spatial patterns of Zn in urban topsoil by using multisource
geospatial data and machine learning method. Geological map, digital elevation models …
geospatial data and machine learning method. Geological map, digital elevation models …
Developments in agricultural soil quality and health: Reflections by the research committee on soil organic matter management
MM Wander, LJ Cihacek, M Coyne… - Frontiers in …, 2019 - frontiersin.org
The North Central Education and Research Activity Committee (NCERA-59) was formed in
1952 to address how soil organic matter formation and management practices affect soil …
1952 to address how soil organic matter formation and management practices affect soil …
The definition of soil since the early 1800s
AE Hartemink - Advances in Agronomy, 2016 - Elsevier
The soil is defined differently by soil scientists, and its definition has changed over time. This
paper reviews how the definition of the soil has changed since the early 1800s by selecting …
paper reviews how the definition of the soil has changed since the early 1800s by selecting …
No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America
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 …
Map of the Global Soil Partnership (GSOCmap-GSP). This endeavor is key to explaining the …