Bayesian data fusion applied to water table spatial mapping

Author:

Fasbender D.1,Peeters L.2,Bogaert P.1,Dassargues A.23

Affiliation:

1. Department of Environmental Sciences and Land Use Planning; Université catholique de Louvain; Louvain-la-Neuve Belgium

2. Department of Earth and Environmental Sciences; Katholieke Universiteit Leuven; Heverlee Belgium

3. Hydrogeology and Environmental Geology, ArGEnCo; University of Liege; Liege Belgium

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference36 articles.

1. Spatial prediction of categorical variables: The Bayesian maximum entropy approach;Bogaert;Stochastic Environ. Res. Risk Assess.,2002

2. Estimating soil properties from thematic soil maps: The Bayesian maximum entropy approach;Bogaert;Soil Sci. Soc. Am. J.,2002

3. Bayesian data fusion in a spatial prediction context: A general formulation;Bogaert;Stochastic Environ. Res. Risk Assess.,2007

4. Bronders , J. 1989 Bijdrage tot de geohydrologie van midden-belgië door middel van geostatistische analyse en een numeriek model (Contribution to the hydrogeology of central Belgium by means of geostatistical analysis and numeric modelling) Vrije Universiteit Brussels, Belgium

5. Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images;Bruzzone;Inf. Fusion,2002

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