Eef Meerschman

Mark

Comparing apparent magnetic susceptibility measurements of a multi-receiver EMI sensor with topsoil and profile magnetic susceptibility data over weak magnetic anomalies

Philippe De Smedt (UGent) , Timothy Saey (UGent) , Eef Meerschman (UGent) , Jeroen De Reu (UGent) , Wim De Clercq (UGent) and Marc Van Meirvenne (UGent)

(2014) ARCHAEOLOGICAL PROSPECTION. 21(2). p.103-112

Mark

Characterizing compaction variability with an electromagnetic induction sensor in a puddled paddy rice field

Mohammad Monirul Islam (UGent) , Eef Meerschman (UGent) , Timothy Saey (UGent) , Philippe De Smedt (UGent) , Ellen Van De Vijver (UGent) , Samuël Delefortrie (UGent) and Marc Van Meirvenne (UGent)

(2014) SOIL SCIENCE SOCIETY OF AMERICA JOURNAL. 78(2). p.579-588

Mark

Using bivariate multiple-point statistics and proximal soil sensor data to map fossil ice-wedge polygons

Eef Meerschman (UGent) , Marc Van Meirvenne (UGent) , G Mariethoz, Mohammad Monirul Islam (UGent) , Philippe De Smedt (UGent) , Ellen Van De Vijver (UGent) and Timothy Saey (UGent)

(2014) GEODERMA. 213. p.571-577

Mark

A stochastic geometric model of the variability of soil formed in Pleistocene patterned ground

RM Lark, Eef Meerschman (UGent) and Marc Van Meirvenne (UGent)

(2014) GEODERMA. 213. p.533-543

Mark

dissertation
open access

Multiple-point geostatistics for the reconstruction of complex spatial patterns in soil science

Eef Meerschman (UGent)

(2013)

Mark

Identifying soil patterns at different spatial scales with a multi-receiver EMI sensor

Timothy Saey (UGent) , Philippe De Smedt (UGent) , Wim De Clercq (UGent) , Eef Meerschman (UGent) , Mohammad Monirul Islam (UGent) and Marc Van Meirvenne (UGent)

(2013) SOIL SCIENCE SOCIETY OF AMERICA JOURNAL. 77(2). p.382-390

Mark

journalArticle
A1
open access

The 3-D reconstruction of medieval wetland reclamation through electromagnetic induction survey

Philippe De Smedt (UGent) , Marc Van Meirvenne (UGent) , Davy Herremans (UGent) , Jeroen De Reu (UGent) , Timothy Saey (UGent) , Eef Meerschman (UGent) , Philippe Crombé (UGent) and Wim De Clercq (UGent)

(2013) SCIENTIFIC REPORTS. 3.

Mark

Mapping complex soil patterns with multiple-point geostatistics

Eef Meerschman (UGent) , Marc Van Meirvenne (UGent) , Ellen Van De Vijver (UGent) , Philippe De Smedt (UGent) , Mohammad Monirul Islam (UGent) and Timothy Saey (UGent)

(2013) EUROPEAN JOURNAL OF SOIL SCIENCE. 64(2). p.183-191

Mark

Exploring the potential of multi-receiver EMI survey for geoarchaeological prospection: a 90 ha dataset

Philippe De Smedt (UGent) , Timothy Saey (UGent) , Alexander Lehouck (UGent) , Birger Stichelbaut (UGent) , Eef Meerschman (UGent) , Mohammad Monirul Islam (UGent) , Ellen Van De Vijver (UGent) and Marc Van Meirvenne (UGent)

(2013) GEODERMA. 199. p.30-36

Mark

Key variables for the identification of soil management classes in the aeolian landscapes of north–west Europe

Marc Van Meirvenne (UGent) , Mohammad Monirul Islam (UGent) , Philippe De Smedt (UGent) , Eef Meerschman (UGent) , Ellen Van De Vijver (UGent) and Timothy Saey (UGent)

(2013) GEODERMA. 199. p.99-105

Academic Bibliography

Eef Meerschman

Comparing apparent magnetic susceptibility measurements of a multi-receiver EMI sensor with topsoil and profile magnetic susceptibility data over weak magnetic anomalies

Characterizing compaction variability with an electromagnetic induction sensor in a puddled paddy rice field

Using bivariate multiple-point statistics and proximal soil sensor data to map fossil ice-wedge polygons

A stochastic geometric model of the variability of soil formed in Pleistocene patterned ground

Multiple-point geostatistics for the reconstruction of complex spatial patterns in soil science

Identifying soil patterns at different spatial scales with a multi-receiver EMI sensor

The 3-D reconstruction of medieval wetland reclamation through electromagnetic induction survey

Mapping complex soil patterns with multiple-point geostatistics

Exploring the potential of multi-receiver EMI survey for geoarchaeological prospection: a 90 ha dataset

Key variables for the identification of soil management classes in the aeolian landscapes of north–west Europe

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