Soil moisture estimation using tomographic ground penetrating radar in a MCMC–Bayesian framework
Abstract
Abstract not provided.
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Washington State Univ., Richland, WA (United States)
- 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)
- 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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