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

Abstract

Abstract not provided.

Authors:
 [1];  [2];  [3];  [2];  [4];  [2]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Washington State Univ., Richland, WA (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1459653
Alternate Identifier(s):
OSTI ID: 1496976
Report Number(s):
PNNL-SA-116707; SAND-2018-7074J
Journal ID: ISSN 1436-3240; PII: 1571
Grant/Contract Number:  
AC05-76RL01830; AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Stochastic environmental research and risk assessment
Additional Journal Information:
Journal Volume: 32; Journal Issue: 8; Journal ID: ISSN 1436-3240
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Tomographic ground penetrating radar; Soil moisture; Multi-chain Markov chain Monte Carlo; Bayesian

Citation Formats

Bao, Jie, Hou, Zhangshuan, Ray, Jaideep, Huang, Maoyi, Swiler, Laura, and Ren, Huiying. Soil moisture estimation using tomographic ground penetrating radar in a MCMC–Bayesian framework. United States: N. p., 2018. Web. doi:10.1007/s00477-018-1571-8.
Bao, Jie, Hou, Zhangshuan, Ray, Jaideep, Huang, Maoyi, Swiler, Laura, & Ren, Huiying. Soil moisture estimation using tomographic ground penetrating radar in a MCMC–Bayesian framework. United States. https://doi.org/10.1007/s00477-018-1571-8
Bao, Jie, Hou, Zhangshuan, Ray, Jaideep, Huang, Maoyi, Swiler, Laura, and Ren, Huiying. Tue . "Soil moisture estimation using tomographic ground penetrating radar in a MCMC–Bayesian framework". United States. https://doi.org/10.1007/s00477-018-1571-8. https://www.osti.gov/servlets/purl/1459653.
@article{osti_1459653,
title = {Soil moisture estimation using tomographic ground penetrating radar in a MCMC–Bayesian framework},
author = {Bao, Jie and Hou, Zhangshuan and Ray, Jaideep and Huang, Maoyi and Swiler, Laura and Ren, Huiying},
abstractNote = {Abstract not provided.},
doi = {10.1007/s00477-018-1571-8},
journal = {Stochastic environmental research and risk assessment},
number = 8,
volume = 32,
place = {United States},
year = {Tue Jun 19 00:00:00 EDT 2018},
month = {Tue Jun 19 00:00:00 EDT 2018}
}

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Cited by: 2 works
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