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

Eef Meerschman, 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
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Pedometrics, Multivariate simulation, Proximal soil sensor data, Multiple-point statistics, Training image, ELECTROMAGNETIC INDUCTION SENSOR, PRECISION AGRICULTURE, FUZZY-SETS, EM38DD, NETWORK, SIMULATION, CASTS, COVER
journal title
GEODERMA
Geoderma
volume
213
pages
571 - 577
Web of Science type
Article
Web of Science id
000329594800063
JCR category
SOIL SCIENCE
JCR impact factor
2.772 (2014)
JCR rank
6/34 (2014)
JCR quartile
1 (2014)
ISSN
0016-7061
DOI
10.1016/j.geoderma.2013.01.016
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
4187814
handle
http://hdl.handle.net/1854/LU-4187814
date created
2013-11-21 13:25:42
date last changed
2016-12-19 15:43:02
@article{4187814,
  author       = {Meerschman, Eef and Van Meirvenne, Marc and Mariethoz, G and Islam, Mohammad Monirul and De Smedt, Philippe and Van De Vijver, Ellen and Saey, Timothy},
  issn         = {0016-7061},
  journal      = {GEODERMA},
  keyword      = {Pedometrics,Multivariate simulation,Proximal soil sensor data,Multiple-point statistics,Training image,ELECTROMAGNETIC INDUCTION SENSOR,PRECISION AGRICULTURE,FUZZY-SETS,EM38DD,NETWORK,SIMULATION,CASTS,COVER},
  language     = {eng},
  pages        = {571--577},
  title        = {Using bivariate multiple-point statistics and proximal soil sensor data to map fossil ice-wedge polygons},
  url          = {http://dx.doi.org/10.1016/j.geoderma.2013.01.016},
  volume       = {213},
  year         = {2014},
}

Chicago
Meerschman, Eef, Marc Van Meirvenne, G Mariethoz, Mohammad Monirul Islam, Philippe De Smedt, Ellen Van De Vijver, and Timothy Saey. 2014. “Using Bivariate Multiple-point Statistics and Proximal Soil Sensor Data to Map Fossil Ice-wedge Polygons.” Geoderma 213: 571–577.
APA
Meerschman, E., Van Meirvenne, M., Mariethoz, G., Islam, M. M., De Smedt, P., Van De Vijver, E., & Saey, T. (2014). Using bivariate multiple-point statistics and proximal soil sensor data to map fossil ice-wedge polygons. GEODERMA, 213, 571–577.
Vancouver
1.
Meerschman E, Van Meirvenne M, Mariethoz G, Islam MM, De Smedt P, Van De Vijver E, et al. Using bivariate multiple-point statistics and proximal soil sensor data to map fossil ice-wedge polygons. GEODERMA. 2014;213:571–7.
MLA
Meerschman, Eef, Marc Van Meirvenne, G Mariethoz, et al. “Using Bivariate Multiple-point Statistics and Proximal Soil Sensor Data to Map Fossil Ice-wedge Polygons.” GEODERMA 213 (2014): 571–577. Print.