Sampling optimization based on secondary information and its utilization in soil carbon mapping

Geoderma

Volumn 133, Issue 3-4, 2006, Pages 345-362

  Simbahan, Gregorio C ^a   Dobermann, Achim ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Digital soil mapping; Regression kriging; Sampling; Simulated annealing; Soil carbon

Indexed keywords

CARBON; OPTIMIZATION; REGRESSION ANALYSIS; SAMPLING; SIMULATED ANNEALING; STRATIGRAPHY;

DIGITAL SOIL MAPPING; REGRESSION KRIGING; SOIL CARBON;

SOIL MECHANICS;

DIGITAL MAPPING; ELECTRICAL CONDUCTIVITY; OPTIMIZATION; REGRESSION ANALYSIS; SAMPLING; SIMULATED ANNEALING; SOIL CARBON; SOIL SURFACE; SPATIAL ANALYSIS; STRATIFICATION;

EID: 33745232338     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2005.07.020     Document Type: Article

References (35)

1. Adobe Systems. Adobe Photoshop CS (2004), Adobe Systems Inc., San Jose, CA
2. Bogaert P., and Russo D. Optimal spatial sampling design for the estimation of the variogram based on a least-squares approach. Water Resour. Res. 35 (1999) 1275-1289
3. Brus D.J., and de Gruijter J.J. Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with Discussion). Geoderma 80 (1997) 1-59
4. Cerny V. Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm. J. Optim. Theory Appl. 45 (1985) 41-51
5. Chen F., Kissell D.E., West L.T., and Adkins W. Field-scale mapping of surface soil organic carbon using remotely sensed imagery. Soil Sci. Soc. Am. J. 64 (2000) 746-753
6. Davis L. Genetic Algorithms and Simulated Annealing (1990), Morgan Kaufman Publishers, Los Angeles
7. De Gruijter J.J. 1.4 Sampling. In: Dane J.H., and Clarke Topp G. (Eds). Methods of Soil Analysis: Part 4. Physical Methods (2002), Soil Science Society of America, Madison, WI 45-79
8. de Gruijter J.J., and ter Braak C.J.F. Model-free estimation from spatial samples: a reappraisal of classical sampling theory. Math. Geol. 22 (1990) 407-415
9. Deutsch C.V., and Journel A.G. GSLIB. Geostatistical Software Library and User's Guide (1998), Oxford Univ. Press, New York, Oxford
10. Golden Software, I. Surfer Version 8.02 (2002), Golden Software Inc., Golden, CO, USA
11. Hengl T., Heuvelink G.B.M., and Stein A. A generic framework for spatial prediction of soil variables based on regression kriging. Geoderma 120 (2004) 75-93
12. Johnson C.K., Doran J.W., Duke H.R., Wienhold B.J., Eskridge K.M., and Shanahan J.F. Field-scale electrical conductivity mapping for delineating soil condition. Soil Sci. Soc. Am. J. 65 (2001) 1829-1837
13. Kerry K., and Oliver M.A. Variograms of ancillary data to aid sampling for soil surveys. Prec. Agric. 4 (2003) 261-278
14. Kirkpatrick S., Gelatt C.D., and Vecchi M.P. Optimization by simulated annealing. Science 220 (1983) 671-680
15. Lark R.M. Optimized spatial sampling of soil for estimation of the variogram by maximum likelihood. Geoderma 105 (2002) 49-80
16. McBratney A.B., and Webster R. How many observations are needed for regional estimation of soil properties?. Soil Sci. 135 (1983) 177-183
17. McBratney A.B., Webster R., and Burgess T.M. The design of optimal sampling schemes for local estimation and mapping of regionalized variables: I. Theory and method. Comput. Geosci. 7 (1981) 331-334
18. McBratney A.B., Mendonca Santos M.L., and Minasny B. On digital soil mapping. Geoderma 117 (2003) 3-52
19. Mueller T.G., and Pierce F.J. Soil carbon maps: enhancing spatial estimates with simple terrain attributes at multiple scales. Soil Sci. Soc. Am. J. 67 (2003) 258-267
20. Oberthür T., Dobermann A., and Neue H.U. How good is a reconnaissance soil map for agronomic purposes?. Soil Use Manage. 12 (1996) 33-43
21. Odeh I.O.A., McBratney A.B., and Chittleborough D.J. Spatial prediction of soil properties from landform attributes derived from a digital elevation model. Geoderma 63 (1994) 197-214
22. Oliver M.A., and Webster R. A geostatistical basis for spatial weighting in multivariate classification. Math. Geol. 21 (1989) 15-35
23. Särndal C.E., Swensson B., and Wretman J. Model Assisted Survey Sampling (1992), Springer, New York
24. SAS Institute Inc. SAS System Version 8.0 (1999), SAS Institute Inc., Cary, NC
25. Simbahan, G.C., 2004. Processing of spatial information for mapping of soil organic carbon. PhD thesis. University of Nebraska, Lincoln, NE.
26. Simbahan G.C., Dobermann A., Goovaerts P., Ping J.L., and Haddix M.L. Using multivariate secondary information in fine-resolution mapping of soil organic carbon. Geoderma (2005) 10.1016/j.geoderma.2005.07.001
27. Stein A., and Ettema C. An overview of spatial sampling procedures and experimental design of spatial studies for ecosystem comparisons. Agric. Ecosyst. Environ. 94 (2003) 31-47
28. USDA-NRCS, 2004. Soil Data Mart. http://soildatamart.nrcs.usda.gov. United States Department of Agriculture, Natural Resources Conservation Service.
29. van Groenigen J.W. The influence of variogram parameters on optimal sampling for mapping by kriging. Geoderma 97 (2000) 223-236
30. van Groenigen J.W., and Stein A. Constrained optimization of spatial sampling using continuous simulated annealing. J. Environ. Qual. 27 (1998) 1078-1086
31. van Groenigen J.W., Siderius W., and Stein A. Constrained optimisation of soil sampling for minimisation of the kriging variance. Geoderma 87 (1999) 239-259
32. Verma S.V., Dobermann A., Cassman K.G., Walters D.T., Knops J.M.H., Arkebauer T.J., Suyker A.E., Burba G.G., Amos B., Yang H.S., Ginting D., Hubbard K.G., Gitelson A.A., and Walter-Shea E.A. Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems. Agric. Forest Met. 131 (2005) 77-96
33. Warrick A.W., and Myers D.E. Optimization of sampling locations for variogram calculations. Water Resour. Res. 23 (1987) 496-500
34. Webster R., and Oliver M.A. Statistical Methods in Soil and Land Resource Survey (1990), Oxford Univ. Press, Oxford, UK
35. Webster R., and Oliver M.A. Sample adequately to estimate variograms of soil properties. J. Soil Sci. 43 (1992) 177-192