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Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors
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 …
Dealing with the impact of climate change-induced drought on the management of soil salinity under irrigated agriculture
DL Corwin - Advances in Agronomy, 2024 - Elsevier
Climate change will cause an increased frequency and intensity of drought in irrigated arid-
zone agricultural areas resulting in a greater need for water conservation. Many water …
zone agricultural areas resulting in a greater need for water conservation. Many water …
One-dimensional deep learning inversion of electromagnetic induction data using convolutional neural network
D Moghadas - Geophysical Journal International, 2020 - academic.oup.com
Conventional geophysical inversion techniques suffer from several limitations including
computational cost, nonlinearity, non-uniqueness and dimensionality of the inverse problem …
computational cost, nonlinearity, non-uniqueness and dimensionality of the inverse problem …
EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data
Frequency domain electromagnetic induction (EMI) methods have had a long history of
qualitative map** for environmental applications. More recently, the development of multi …
qualitative map** for environmental applications. More recently, the development of multi …
Frequency domain electromagnetic induction imaging: An effective method to see inside a capped landfill
The frequency-domain electromagnetic (FDEM) methods are a powerful tool for evaluating
the impact caused on natural environments by anthropic facilities such as landfills …
the impact caused on natural environments by anthropic facilities such as landfills …
Analysis of low-frequency drone-borne GPR for root-zone soil electrical conductivity characterization
In this study, we analyzed low-frequency drone-borne ground-penetrating radar (GPR) and
full-wave inversion for soil electrical conductivity map**. Indeed, in the lowest GPR …
full-wave inversion for soil electrical conductivity map**. Indeed, in the lowest GPR …
Remote sensing, geophysics, and modeling to support precision agriculture—Part 1: Soil applications
Sustainable agriculture management typically requires detailed characterization of physical,
chemical, and biological aspects of soil properties. These properties are essential for …
chemical, and biological aspects of soil properties. These properties are essential for …
Toward high‐resolution agronomic soil information and management zones delineated by ground‐based electromagnetic induction and aerial drone data
Detailed knowledge of the intra‐field variability of soil properties and crop characteristics is
indispensable for the establishment of sustainable precision agriculture. We present an …
indispensable for the establishment of sustainable precision agriculture. We present an …
Laterally constrained inversion (LCI) of multi-configuration EMI data with tunable sharpness
Frequency-domain electromagnetic (FDEM) data are commonly inverted to characterize
subsurface geoelectrical properties using smoothness constraints in 1D inversion schemes …
subsurface geoelectrical properties using smoothness constraints in 1D inversion schemes …
Improved geoarchaeological map** with electromagnetic induction instruments from dedicated processing and inversion
Increasingly, electromagnetic induction methods (EMI) are being used within the area of
archaeological prospecting for map** soil structures or for studying paleo-landscapes …
archaeological prospecting for map** soil structures or for studying paleo-landscapes …