Monitoring and modelling soil water dynamics using electromagnetic conductivity imaging and the ensemble Kalman filter
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- 作者：Jingyi Huanga ; jing.y.huang@unsw.edu.au" class="auth_mail" title="E-mail the corresponding author ; Alex B. McBratneyb ; Budiman Minasnyb ; John Triantafilisa
- 关键词：DUALEM-421S ; Drift ; Electromagnetic induction ; Inversion ; Tipping bucket model
- 刊名：Geoderma
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：285
- 期：Complete
- 页码：76-93
- 全文大小：4058 K
文摘
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Soil water dynamics of varying soil types were mapped using EM induction.
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Effects of soil and ambient temperature on the DUALEM data were studied.
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An empirical (ANN) model was built to predict soil water content from EM data.
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A physical model was fitted to predict soil water dynamics.
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An Ensemble Kalman filter combined the empirical and the physical models.