Soil moisture estimation using tomographic ground penetrating radar in a MCMC–Bayesian framework-Reference-Cited by-同舟云学术

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Soil moisture estimation using tomographic ground penetrating radar in a MCMC–Bayesian framework

Published:2018-06-19 Issue:8 Volume:32 Page:2213-2231
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Bao Jie,Hou Zhangshuan,Ray Jaideep,Huang Maoyi,Swiler Laura,Ren Huiying

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/article/10.1007/s00477-018-1571-8/fulltext.html

Reference64 articles.

1. Behari J (2005) Dielectric constant of soil. Microwave Dielectric Behavior of Wet Soils. Springer, Berlin

2. Binley A, Cassiani G, Middleton R, Winship P (2002) Vadose zone flow model parameterization using cross-borehole radar and resistivity imaging. J Hydrol 267(3–4):147–159

3. Brooks S, Gelman A (1998) General methods for monitoring convergence of iterative simulations. J Comput Graph Stat 7:434–445

4. Cai J, Mcmechan GA (1995) Ray-based synthesis of bistatic ground-penetrating radar profiles. Geophysics 60(1):87–96

5. Casper DA, Kung KJS (1996) Simulation of ground penetrating radar waves in a 2-D soil model. Geophysics 61(4):1034–1049

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1. Recent Advances in Dielectric Properties-Based Soil Water Content Measurements;Remote Sensing;2024-04-10

2. Techniques for ground-based soil moisture measurement: a detailed overview;Arabian Journal of Geosciences;2021-09-18

3. Bayesian Integration Using Resistivity and Lithology for Improving Estimation of Hydraulic Conductivity;Water Resources Research;2021-03

4. A novel spectroscopy-based method using monopole antenna for measuring soil water content;Measurement;2021-01

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