Machine learning for predicting soil classes in three semi-arid landscapes
Mapping the spatial distribution of soil taxonomic classes is important for informing soil use
and management decisions. Digital soil mapping (DSM) can quantitatively predict the spatial …
and management decisions. Digital soil mapping (DSM) can quantitatively predict the spatial …
[HTML][HTML] Applications and challenges of digital soil mapping in Africa
The mapping of soils in Africa is at least a century old. We currently have access to various
maps depicting mapping units locally and for the continent. In the past two decades, there …
maps depicting mapping units locally and for the continent. In the past two decades, there …
The extrapolation of soil great groups using multinomial logistic regression at regional scale in arid regions of Iran
Soil information is essential for sustainable management of ecosystems. In many parts of
Iran, soil information is either not available or difficult to obtain. Therefore, when no detailed …
Iran, soil information is either not available or difficult to obtain. Therefore, when no detailed …
[HTML][HTML] Downscaling legacy soil information for hydrological soil mapping using multinomial logistic regression
IE Smit, GM Van Zijl, ES Riddell, JJ Van Tol - Geoderma, 2023 - Elsevier
Abstract In South Africa, there is a growing demand for large scale detailed hydrological soil
maps for modelling and management purposes. However, imbalanced legacy soil …
maps for modelling and management purposes. However, imbalanced legacy soil …
Machine learning digital soil mapping to inform gully erosion mitigation measures in the Eastern Cape, South Africa
Soil erosion is probably the most common form of land degradation, leading to on and off
site detrimental effects, such as an increase in river sediment load which have been shown …
site detrimental effects, such as an increase in river sediment load which have been shown …
Digital soil mapping approaches to address real world problems in southern Africa
G van Zijl - Geoderma, 2019 - Elsevier
Soil spatial information is increasingly sought after for various agricultural, environmental
and developmental uses, but is often unavailable, also in southern Africa. Digital soil …
and developmental uses, but is often unavailable, also in southern Africa. Digital soil …
Field‐scale apparent soil electrical conductivity
DL Corwin, E Scudiero - Soil Science Society of America …, 2020 - Wiley Online Library
Soils are notoriously spatially heterogeneous and many soil properties are temporally
variable. Spatial variability of soil properties has a profound influence on agricultural and …
variable. Spatial variability of soil properties has a profound influence on agricultural and …
[PDF][PDF] Field-scale apparent soil electrical conductivity
DL Corwin, E Scudiero - Methods of soil analysis, 2016 - researchgate.net
Soils are notoriously spatially heterogeneous and many soil properties are temporally
variable. Spatial variability of soil properties has a profound influence on agricultural and …
variable. Spatial variability of soil properties has a profound influence on agricultural and …
An effective implementation and assessment of a random forest classifier as a soil spatial predictive model
Mapping the spatial distribution of soil classes is important for informing soil use and
management decisions. This study aimed to effectively implement Random Forest (RF) …
management decisions. This study aimed to effectively implement Random Forest (RF) …
Combining historical remote sensing, digital soil mapping and hydrological modelling to produce solutions for infrastructure damage in Cosmo City, South Africa
Urbanization and hydrology have an interactive relationship, as urbanization changing the
hydrology of a system and the hydrology commonly causing structural damage to the …
hydrology of a system and the hydrology commonly causing structural damage to the …