Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors
DL Corwin, E Scudiero - Advances in agronomy, 2019 - Elsevier
Map** and monitoring soil spatial variability is particularly problematic for temporally and
spatially dynamic properties such as soil salinity. The tools necessary to address this classic …
spatially dynamic properties such as soil salinity. The tools necessary to address this classic …
Three-dimensional digital soil map** of multiple soil properties at a field-scale using regression kriging
Three-dimensional digital soil map** (3D-DSM) quantifies both the horizontal and the
vertical variability of soil properties. Most current studies in 3D-DSM were based on either …
vertical variability of soil properties. Most current studies in 3D-DSM were based on either …
Map** key soil properties to support agricultural production in Eastern China
Y Ma, B Minasny, C Wu - Geoderma Regional, 2017 - Elsevier
The spatial prediction of soil attributes plays important roles in establishing areas for
agricultural development and sustainable land management. This paper aimed to model …
agricultural development and sustainable land management. This paper aimed to model …
Characterization of field-scale soil variation using a stepwise multi-sensor fusion approach and a cost-benefit analysis
The potential of a stepwise fusion of proximally sensed portable X-ray fluorescence (pXRF)
spectra and electromagnetic induction (EMI) with remote Sentinel-2 bands and a digital …
spectra and electromagnetic induction (EMI) with remote Sentinel-2 bands and a digital …
Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental map**
Understanding the uncertainty in spatial modelling of environmental variables is important
because it provides the end-users with the reliability of the maps. Over the past decades …
because it provides the end-users with the reliability of the maps. Over the past decades …
Map** salinity in three dimensions using a DUALEM‐421 and electromagnetic inversion software
To implement management plans, the salt content across affected fields and with depth
needs map**. In this study, we developed a method to map the distribution of normal …
needs map**. In this study, we developed a method to map the distribution of normal …
Map** soil cation‐exchange capacity using bayesian modeling and proximal sensors at the field scale
Core Ideas A Bayesian inference approach (INLA‐SPDE) was used to map topsoil and
subsoil CEC. DEM, gamma‐ray spectrometer and EM induction data were combined to map …
subsoil CEC. DEM, gamma‐ray spectrometer and EM induction data were combined to map …
Map** soil salinity and a fresh-water intrusion in three-dimensions using a quasi-3d joint-inversion of DUALEM-421S and EM34 data
In order to understand the drivers of topsoil salinization, the distribution and movement of
salt in accordance with groundwater need map**. In this study, we described a method to …
salt in accordance with groundwater need map**. In this study, we described a method to …
Soil Attributes Map** with Online Near-Infrared Spectroscopy Requires Spatio-Temporal Local Calibrations
Building machine learning (ML) calibrations using near-infrared (NIR) soil spectroscopy
direct in agricultural areas (online NIR), soil attributes can be fine-scale mapped in a faster …
direct in agricultural areas (online NIR), soil attributes can be fine-scale mapped in a faster …
Determining optimal digital soil map** components for exchangeable calcium and magnesium across a sugarcane field
Understanding the spatial distribution of exchangeable calcium (Exch. Ca) and magnesium
(Exch. Mg) at field level is a fundamental component in managing fertilizer application for …
(Exch. Mg) at field level is a fundamental component in managing fertilizer application for …