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 …

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 …

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 …

EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data

P McLachlan, G Blanchy, A Binley - Computers & Geosciences, 2021 - Elsevier
Frequency domain electromagnetic induction (EMI) methods have had a long history of
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

GP Deidda, L De Carlo, MC Caputo, G Cassiani - Waste Management, 2022 - Elsevier
The frequency-domain electromagnetic (FDEM) methods are a powerful tool for evaluating
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

K Wu, S Lambot - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
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 …

Remote sensing, geophysics, and modeling to support precision agriculture—Part 1: Soil applications

A Pradipta, P Soupios, N Kourgialas, M Doula, Z Dokou… - Water, 2022 - mdpi.com
Sustainable agriculture management typically requires detailed characterization of physical,
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

C von Hebel, S Reynaert, K Pauly… - Vadose zone …, 2021 - Wiley Online Library
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 …

Laterally constrained inversion (LCI) of multi-configuration EMI data with tunable sharpness

T Klose, J Guillemoteau, G Vignoli, J Tronicke - Journal of Applied …, 2022 - Elsevier
Frequency-domain electromagnetic (FDEM) data are commonly inverted to characterize
subsurface geoelectrical properties using smoothness constraints in 1D inversion schemes …

Improved geoarchaeological map** with electromagnetic induction instruments from dedicated processing and inversion

AV Christiansen, JB Pedersen, E Auken, NE Søe… - Remote Sensing, 2016 - mdpi.com
Increasingly, electromagnetic induction methods (EMI) are being used within the area of
archaeological prospecting for map** soil structures or for studying paleo-landscapes …