Integrating geophysical and geostatistical techniques to map the spatial variation of clay

Geoderma

Volumn 171-172, Issue , 2012, Pages 53-63

  De Benedetto, Daniela ^a   Castrignano, Annamaria ^a   Sollitto, Donato ^a   Modugno, Francesca ^a   Buttafuoco, Gabriele ^b   Papa, Giuseppe Lo ^c  

^a ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

^b CNR Consiglio Nazionale delle Ricerche   (Italy)

^c UNIVERSITY OF PALERMO   (Italy)

Author keywords

Clay content; EMI; Geostatistics; GPR; IRF k

Indexed keywords

ELECTROMAGNETIC INDUCTION; GEOLOGICAL SURVEYS; GEOPHYSICS; GROUND PENETRATING RADAR SYSTEMS; INTERPOLATION;

AUXILIARY INFORMATION; CLAY CONTENT; ELECTROMAGNETIC INDUCTION SENSORS; GEO-STATISTICS; GEOPHYSICAL METHODS; GEOSTATISTICAL TECHNIQUES; GROUND PENETRATING RADAR (GPR); KRIGING WITH EXTERNAL DRIFTS;

SOILS;

CLAY; ERROR ANALYSIS; GEOPHYSICAL METHOD; GEOSTATISTICS; GPS; KRIGING; RESOURCE ASSESSMENT; SAMPLING; SOIL ANALYSIS; SOIL PROPERTY; SPATIAL VARIATION; SUBSOIL;

EID: 80053460920     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2011.05.005     Document Type: Article

References (45)

1. Annan A.P., Cosway S.W., Redman J.D. Water Table Detection with Ground-Penetrating Radar 1991, Proceedings of the SEG 61st Annual Meeting, Houston, TX.
2. Baxter S.J., Oliver M.A. The spatial prediction of soil mineral N and potentially available N using elevation. Geoderma 2005, 128:325-339.
3. Bourennane H., King D. Using multiple external drifts to estimate a soil variable. Geoderma 2003, 114:1-18.
4. Bourennane H., King D., Couturier A. Comparison of kriging with external drift and simple linear regression for predicting soil horizon thickness with different sample densities. Geoderma 2000, 97:255-271.
5. Buttafuoco G., Castrignanò A. Study of the spatial-temporal variation of soil moisture in a forest field in southern Italy using intrinsic random functions of order k. Geoderma 2005, 128:208-220.
6. Carroll S.S., Cressie N. A comparison of geostatistical methodologies used to estimate snow water equivalent. Water Resource Bulletin 1996, 32:267-278.
7. Castrignanò A., Costantini E.A.C., Barbetti R., Sollitto D. Accounting for extensive topographic and pedologic secondary information to improve soil mapping. Catena 2009, 77:28-38.
8. Castrignanò A., Buttafuoco G., Comolli R., Castrignanò A. Using digital elevation model to improve soil pH prediction in an alpine doline. Pedosphere 2011, 21:259-270.
9. Chilès J.P., Delfiner P. Geostatistics: Modelling Spatial Uncertainty 1999, Wiley, New York, 695 pp.
10. Claerbout J.F. Fundamentals of Geophysical Data Processing: with Applications to Petroleum Prospecting 1985, Blackwell Scientific Publications, Palo Alto, California, USA.
11. Clement W.P., Ward A. GPR surveys across a prototype surface barrier to determine temporal and spatial variations in soil moisture content, chapter 23. The Handbook of Agricultural Geophysics, American Society of Agricultural Engineers 2008, 305-315. CRC Press. B.J. Allred, M.R. Ehsani, J.J. Daniels (Eds.).
12. Corwin D.L., Lesch S.M. Application of soil electrical conductivity to precision agriculture: theory, principles, and guidelines. Agronomy Journal 2003, 95:455-471.
13. Corwin D.L., Lesch S.M. Apparent soil electrical conductivity measurements in agriculture. Computers and Electronics in Agriculture 2005, 46:130-133.
14. Cressie N. Kriging nonstationary data. Journal of the American Statistical Association 1986, 81:625-634.
15. Daniels D.J. Ground Penetrating Radar 2004, The Institute of Electrical Engineers, London, United Kingdom. 2nd Edition.
16. Davis J.L., Annan A.P. Ground Penetrating Radar for high resolution mapping of soil and rock stratigraphy. Geophysical Prospecting 1989, 37:531-551.
17. De Benedetto D., Castrignanò A., Sollitto D., Campi P., Modugno F. Non-intrusive Mapping of Subsoil Properties in Agricultural Fields with GPR and EMI 2008, Proceedings First global workshop on high resolution digital soil sensing and mapping, Sydney - Australia.
18. De Benedetto D., Castrignanò A., Sollitto D., Modugno F. Spatial relationship between clay content and geophysical data. Clay Minerals 2010, 45(n. 2):197-207.
19. Géovariances Isatis Technical Ref., ver. 9.06 Geovariances & Ecole Des Mines De Paris 2009, Avon Cedex, France.
20. Goovaerts P. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of Hydrology 2000, 228:113-129.
21. Gotway Crawford C.A., Hergert G.W. Incorporating spatial trends and anisotropy in geostatistical mapping of soil properties. Soil Science Society of America Journal 1997, 61:298-309.
22. Hengl T., Heuvelink G.B.M., Stein A. A generic framework for spatial prediction of soil variables based on regression-kriging. Geoderma 2004, 120:75-93.
23. Hengl T., Heuvelink G.B.M., Rossiter D.G. About regression-kriging: from equation to case study. Computer & Geoscience 2007, 33:1301-1315.
24. IUSS Working Group WRB World Reference Base for Soil Resources 2006, First Update 2007 2007, World Soil Resources Reports No. 103, FAO, Rome.
25. Kitanidis P.K. Statistical estimation of polynomial generalized covariance functions and hydrologic applications. Water Resources Research 1983, 19:909-921.
26. Knight R., Tercier P., Jol H. The role of ground-penetrating radar and geostatistics in reservoir description. The Leading Edge 1997, 16(n. 11):1576-1582.
27. Lesch S.M., Rhoades J.D., Lund L.J., Corwin D.L. Mapping soil salinity using calibrated electromagnetic measurements. Soil Science Society of America Journal 1992, 56:540-548.
28. Matheron G. The intrinsic random functions and their applications. Advances in Applied Probability 1973, 5:239-465.
29. McBratney A.B., Odeh I.O.A., Bishop T.F.A., Dunbar M.S., Shatar T.M. An overview of pedometric techniques for use in soil survey. Geoderma 2000, 97:293-327.
30. McNeill J.D. Electromagnetic Terrain Conductivity Measurement at Low Induction Numbers 1980, Geonics Limited, Technical Note TN 6, Geonics Ltd. Mississauga, Ontario, Canada.
31. Morari F., Castrignanò A., Pagliarin C. Application of multivariate geostatistics in delineating management zones within a gravelly vineyard using geo-electrical sensors. Computers and Electronics in Agriculture 2009, 69:97-107.
32. Odeh I.O.A., McBratney A.B., Chittleborough D. Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging. Geoderma 1995, 67:215-226.
33. Olhoeft G.R. Electrical, magnetic, and geometric properties that determine Ground Penetrating Radar performance. Proceedings of GPR'98, Seventh International Conference on Ground Penetrating Radar 1998, 177-182. University of Kansas, Lawrence, KS.
34. Powers M.H. Modeling frequency-dependent GPR. The Leading Edge 1997, 16:1657-1662.
35. REFLEX Software 2010. (Sandmeier Scientific Software, Karlsruhe, Germany).
36. SAS Institute Inc SAS/STAT Software Release 9.1 2010, Cary, NC, USA.
37. Sénéchel P., Perroud H., Garambois S. Geometrical and physical parameters comparison between GPR data and other geophysical data. Extended Abstract, 8th International Conference on Ground Penetrating Radar 2000, Gold Coast, Australia.
38. Soil Survey Staff Keys to Soil Taxonomy 2010, USDA-Natural Resources Conservation Service, Washington, DC. 11th ed.
39. Sudduth K.A., Kitchen N.R., Wiebold W.J., Batchelor W.D., Bollero G.A., Bullock D.G., Clay D.E., Palm H.L., Pierce F.J., Schuler R.T., Thelen K.D. Relating apparent electrical conductivity top soil properties across the North-Central USA. Computers and Electronics in Agriculture 2005, 46:263-283.
40. Taylor J.A., McBratney A.B., Viscarra Rossel R., Minasny B., Taylor H.J., Whelan B.M., Short M. Development of a Multisensor Platform for Proximal Soil Sensing 2006, Proceedings of 18th World Congress of Soil Science, Philadelphia, Pennsylvania, USA.
41. Taylor J.A., Short M., McBratney A.B., Wilson J. Comparing the ability of multiple soil sensors to predict soil properties in a Scottish potato production system. Progress in Soil Science, Springer Science +Business Media B.V., Netherlands, 2010 2010, Volume 1:387-396. Part 5. R.A. Viscarra Rossel, A.B. McBratney, B. Minasny (Eds.).
42. Wackernagel H. Multivariate Geostatistics: an introduction with Applications 2003, Springer-Verlag, Berlin.
43. Webster R., Oliver M.A. Geostatistics for Environmental Scientists 2001, Wiley, Chichester.
44. Williams B.G., Hoey D. The use of electromagnetic induction to detect the spatial variability of salt and clay content of soils. Australian Journal of Soil Research 1987, 25:21-27.
45. Wong M.T.F., Wittwer K., Oliver Y.M., Robertson M.J. Use of EM38 and gamma ray spectrometry as complementary sensors for high-resolution soil property mapping. Progress in Soil Science, Springer Science + Business Media B.V., Netherlands, 2010 2010, Volume 1:343-349. Part 5. R.A. Viscarra Rossel, A.B. McBratney, B. Minasny (Eds.).