Geostatistical Integration of Yield Monitor Data and Remote Sensing Improves Yield Maps

Agronomy Journal

Volumn 96, Issue 1, 2004, Pages 285-297

  Dobermann, A ^a   Ping, J L ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; DATA REDUCTION; GRAIN (AGRICULTURAL PRODUCT); INTERPOLATION; REMOTE SENSING; VEGETATION;

SPATIAL RESOLUTION;

AGRONOMY;

GLYCINE MAX; ZEA; ZEA MAYS;

EID: 0742302345     PISSN: 00021962     EISSN: None     Source Type: Journal    
DOI: 10.2134/agronj2004.0285     Document Type: Article

References (41)

1. Arslan, S., and T.S. Colvin. 2002a. An evaluation of the response of yield monitors and combines to varying yields. Precis. Agric. 3:107-122.
2. Arslan, S., and T.S. Colvin. 2002b. Grain yield mapping: Yield sensing, yield reconstruction, and errors. Precis. Agric. 3:135-154.
3. Basso, B., J.T. Ritchie, F.J. Pierce, R.P. Braga, and J.W. Jones. 2001. Spatial validation of crop models for precision agriculture. Agric. Syst. 68:97-112.
4. Bekele, A., R.G. Downer, M.C. Wolcott, W.H. Hudnall, and S.H. Moore. 2003. Comparative evaluation of spatial prediction methods in a field experiment for mapping soil potassium. Soil Sci. 168:15-28.
5. Blackmore, S., and M. Moore. 1999. Remedial correction of yield-map data. Precis. Agric 1:53-66.
6. Bouman, B.A.M., H.W.J. van Kasteren, and D. Uenk. 1992. Standard relations to estimate ground cover and LAI of agricultural crops from reflectance measurements. Eur. J. Agron. 1:249-262.
7. Bourennane, H., D. King, and A. Couturier. 2000. Comparison of kriging with external drift and simple linear regression for predicting soil horizon thickness with different sample densities. Geoderma 97:255-271.
8. Deutsch, C.V., and A.G. Journel. 1998. GSLIB. Geostatistical software library and user's guide. 2nd ed. Oxford Univ. Press, New York.
9. Dobermann, A., P. Goovaerts, and H.U. Neue. 1997. Scale dependent correlations among soil properties in two tropical lowland rice fields. Soil Sci. Soc. Am. J. 61:1483-1496.
10. Gitelson, A.A., Y. Kaufman, and M.N. Merzlyak. 1996. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 58:289-298.
11. Gitelson, A.A., Y.J. Kaufman, R. Stark, and D. Rundquist. 2002. Novel algorithms for remote estimation of vegetative fraction. Remote Sens. Environ. 80:76-87.
12. Gitelson, A.A., A. Vina, T.J. Arkebauer, D.C. Rundquist, G. Keydan, and B. Leavitt. 2003. Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophys. Res. Lett. 30:1248, doi 10.1029/2002 GL016450.
13. Goovaerts, P. 1997. Geostatistics for natural resources evaluation. Oxford Univ. Press, New York.
14. Goovaerts, P. 2000. Geostatistical approaches for incorporating elevation into spatial interpolation of rainfall. J. Hydrol. 228:113-129.
15. Goovaerts, P., and R. Webster. 1994. Scale-dependent correlation between topsoil copper and cobalt concentrations in Scotland. Eur. J. Soil Sci. 45:79-95.
16. Isaaks, E.H., and R.M. Srivastava. 1989. An introduction to applied geostatistics. Oxford Univ. Press, New York.
17. King, S.L., A.J. Lister, and M. Hoppus. 2000. A comparison of kriging and cokriging for mapping forest volume in Connecticut. In W.G. Hubbard and J.B. Jordin (ed.) Southern Forestry GIS Conf., 3rd, Athens, GA [CD-ROM]. 10-12 Oct. 2000. Univ. of Georgia Press, Athens.
18. Ma, X., and A.G. Journel. 1999. An expanded GSLIB cokriging program allowing for two Markov models. Comput. Geosci. 25:627-639.
19. Major, D.G., G.B. Schaalje, G. Asrar, and E.T. Kanemasu. 1986. Estimation of whole-plant biomass and grain yield from spectral reflectance of cereals. Can. J. Remote Sens. 12:47-54.
20. Minasny, B., A.B. McBratney, and B.M. Whelan. 2002. VESPER version 1.5 [Online]. Available at http://www.usyd.edu.au/su/agric/ acpa (verified 31 Oct. 2003). Aust. Cent. for Precision Agric., The Univ. of Sydney, Sydney, NSW, Australia.
21. Myneni, R.B., F.G. Hall, P.J. Sellers, and A.L. Marshak. 1997. Estimation of global leaf area index and absorbed PAR using radiative transfer models. IEEE Trans. Geosci. Remote Sens. 35:1380-1393.
22. Myers, R.H., D.C. Montgomery, and G.G. Vining. 2002. Generalized linear models: With applications in engineering and the sciences. John Wiley & Sons, New York.
23. Osborne, S.L., J.S. Schepers, D.D. Francis, and M.R. Schlemmer. 2002. Use of spectral radiance to estimate in-season biomass and grain yield in nitrogen- and water-stressed corn. Crop Sci. 42:165-171.
24. Ping, J.L., and A. Dobermann. 2003. Creating spatially contiguous yield classes for site-specific management. Agron. J. 95:1121-1131.
25. SAS Institute. 1999. SAS system version 8.0. SAS Inst., Cary, NC.
26. Searcy, S.W., S.K. Schueller, Y.H. Bae, S.C. Borgelt, and B.A. Stout. 1989. Mapping of spatially variable yield during grain combining. Trans. ASAE 32:826-829.
27. Senay, G.B., A.D. Ward, J.G. Lyon, N.R. Fausey, and S.E. Nokes. 1998. Manipulation of high spatial resolution aircraft remote sensing data for use in site-specific farming. Trans. ASAE 41:489-495.
28. Shanahan, J.F., J.S. Schepers, D.D. Francis, G.E. Varvel, W.W. Wilhelm, J.M. Tringe, M.R. Schlemmer, and D.J. Major. 2001. Use of remote-sensing imagery to estimate corn grain yield. Agron. J. 93: 583-589.
29. Stafford, J.V., B. Ambler, R.M. Lark, and J. Catt. 1996. Mapping and interpreting the yield variation in cereal crops. Comput. Electron. Agric. 14:101-119.
30. Thylen, L., P.A. Algerbo, and A. Giebel. 2000. An expert filter removing erroneous yield data. In P.C. Robert et al. (ed.) Precision agriculture [CD-ROM]. Proc. Int. Conf., 5th, Minneapolis, MN. 16-19 July 2000. ASA, CSSA, and SSSA, Madison, WI.
31. Triantafilis, J., A.I. Huckel, and I.O.A. Odeh. 2001. Comparison of statistical prediction methos for estimating field-scale clay content using different combinations of ancillary variables. Soil Sci. 166: 415-427.
32. Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8:127-150.
33. van Meirvenne, M., and P. Goovaerts. 2002. Accounting for spatial dependence in the processing of multi-temporal SAR images using factorial kriging. Int. J. Remote Sens. 23:371-387.
34. Voltz, M., and R. Webster. 1990. A comparison of kriging, cubic splines and classification for predicting soil properties from sample information. J. Soil Sci. 41:473-490.
35. Webster, R. 1985. Quantitative spatial analysis of soil in the field. Adv. Soil Sci. 3:1-70.
36. Whelan, B.M., and A.B. McBratney. 2000. An approach to deconvoluting grain-flow within a conventional combine harvester using a parametric transfer function. Precis. Agric. 2:389-398.
37. Whelan, B.M., and A.B. McBratney. 2002. A parametric transfer function for grain-flow within a conventional combine harvester. Precis. Agric. 3:123-134.
38. Willis, P.R., P.G. Carter, and C.J. Johannsen. 1999. Assessing yield parameters by remote sensing techniques. p. 1465-1473. In P.C. Robert et al. (ed.) Precision agriculture. Proc. Int. Conf., 4th, St. Paul, MN. 19-22 July 1998. ASA, CSSA, and SSSA, Madison, WI.
39. Yang, C., and G.L. Anderson. 2000. Mapping grain sorghum yield variability using airborne digital videography. Precis. Agric. 2:7-23.
40. Yang, C., J.H. Everitt, J.M. Bradford, and D.E. Escobar. 2000. Mapping grain sorghum growth and yield variations using airborne multispectral digital imagery. Trans. ASAE 43:1927-1938.
41. Zhang, M.H., P. Hendley, and D. Drost, M. O' Neill, and S. Ustin. 1999. Corn and soybean yield indicators using remotely sensed vegetation index. p. 1475-1481. In P.C. Robert et al. (ed.) Precision agriculture. Proc. Int. Conf., 4th, St. Paul, MN. 19-22 July 1998. ASA, CSSA, and SSSA, Madison, WI.