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

Geoderma

Volumn 213, Issue , 2014, Pages 571-577

  Meerschman, E ^a   Van Meirvenne, M ^a   Mariethoz, G ^b   Islam, M M ^a   De Smedt, P ^a   Van De Vijver, E ^a   Saey, T ^a  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Multiple point statistics; Multivariate simulation; Pedometrics; Proximal soil sensor data; Training image

Indexed keywords

MULTIPLE-POINT STATISTICS; MULTIVARIATE SIMULATION; PEDOMETRICS; SOIL SENSORS; TRAINING IMAGE;

COMPLEX NETWORKS; ELECTROMAGNETIC INDUCTION; FORECASTING; INTERPOLATION; SENSORS; SOILS;

ICE;

ALGORITHM; DATA ACQUISITION; ELECTROMAGNETIC METHOD; FOSSIL RECORD; GEOSTATISTICS; IMAGE ANALYSIS; MULTIVARIATE ANALYSIS; POLYGON; PROBABILITY; SENSOR; SIMULATION; SOIL ANALYSIS; SOIL CLASSIFICATION; SUBSOIL; VARIOGRAM;

EID: 84888000259     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2013.01.016     Document Type: Article

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