Effectiveness of using vegetation index to delineate zones of different soil and crop grain production characteristics

Canadian Journal of Soil Science

Volumn 85, Issue 2, 2005, Pages 319-328

  Basnyat, Prakash ^a   McConkey, Brian G ^a   Selles, Fernando ^a   Meinert, L Brett ^b  

^a SWIFT CURRENT RESEARCH AND DEVELOPMENT CENTRE   (Canada)

^b Meinert Enterprises Ltd   (Canada)

Author keywords

Remote sensing; Site specific management; Variable rate fertilizer application; Vegetation index; Zone

Indexed keywords

CROP PRODUCTION; VEGETATION INDEX;

TRITICUM AESTIVUM;

EID: 22744457708     PISSN: 00084271     EISSN: None     Source Type: Journal    
DOI: 10.4141/S04-065     Document Type: Article

References (63)

1. Androsoff, G. L., van Kessel, C. and Pennock, D. J. 1995. Landscape-scale estimates of nitrogen fixation by Pisum sativum by nitrogen-15 natural abundance and enriched isotope dilution. Bio. Fertil. Soils 20: 33-40.
2. Aparicio, N., Villegas, D., Casadesus, J., Araus, J. L. and Royo, C. 2000. Spectral vegetation indices as nondestructive tools for determining durum wheat yield. Agron. J. 92: 83-91.
3. Aparicio, N., Villegas, D., Araus, J. L., Casadesus, J. and Royo, C. 2002. Relationship between Growth traits and spectral vegetation indices in durum Wheat. Crop Sci. 42: 1547-1555.
4. Atherton, B. C., Morgan, M. T., Shearer, S. A., Stombaugh, T. S. and Ward, A. D. 1999. Site-specific farming: a perspective on information needs, benefits and limitations. J. Soil Water Cons. 54: 455-461.
5. Basnyat, P., McConkey, B., Meinert, B., Gatkze, C. and Noble, G. 2004a. Agriculture field characterization using aerial photograph and satellite imagery. IEEE Geoscience and Remote Sensing Letters. 1: 7-10.
6. Basnyat, P., McConkey, B., Lafond, G. P., Moulin, A. and Pelcat, A. 2004b. Optimal time for remote sensing to relate to crop grain yield on the Canadian prairies. Can. J. Plant Sci. 84: 97-103.
7. Beckie, H. J., Moulin, A. P. and Pennock, D. J. 1997. Strategies for variable rate nitrogen fertilization in hummocky terrain. Can. J. Soil Sci. 77: 589-595.
8. Bellairs, M., Turner, N. C., Hick, P. T. and Smith, C. G. 1996. Plant and soil influences on estimating biomass of wheat in plant breeding plots using field spectral radiometers. Aust. J. Agric. Res. 47: 1017-1034.
9. Bedford, R. K., Harvey, E. R. and Di Prinzio, P. 1993. Remote sensing of crop biomass with a hand-held multi spectral radiometer. Page 392 in Proc. 7th Aust. Agron. Conf. Adelaide, Australia.
10. Blackmer, A. M. and White, S. E. 1998. Using precision farming technologies to improve management of soil and fertilizer nitrogen. Aust. J. Agric. Res. 49: 555-564.
11. Bouman, B. A. M., van Kasteren, H. W. J. and Uenk, D. 1992. Standard relations to estimate ground cover and LAI of agricultural crops from reflectance measurements. Eur. J. Agron. 1: 249-262.
12. Braum, S. M., Hinds, P., Malzer, G. L., Bell, J., Mulla, D. and Robert, P. C. 1998. Terrain attributes and soil nitrogen: Spatial effects on corn yield responses to nitrogen fertilization for a northern, glaciated landscape. Pages 195-202 in 4th Intl. Conf.on Precision Ag. St. Paul, MN. 1998 Jul. 19-22.
13. Buschman, C. and Nagel, E. 1993. In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation. Int. J. Remote Sensing. 14: 711-722.
14. Campbell, C. A., Selles, F., Zentner, R. P., McConkey, B. G., Brandt, B. G. and McKenzie, R. C. 1997. Regression model for predicting yield of hard red spring wheat grown on stubble in the semiarid prairie. Can J. Plant Sci. 77: 43-52.
15. Chen, J. M. 1996. Evaluation of vegetation indices and a modified simple ratio for boreal applications. J. Remote Sens. 22: 229-242.
16. Chen, J. M. and Cihlar J. 1995. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sens. Environ. 55:153-162.
17. Clay, D. E., Chang, J., Carlson, C. G., Malo, D., Clay, S. A. and Ellsbury, M. 2000. Precision farming protocols. Part 2. Comparison of sampling approaches for precision phosphorus management. Commun. Soil Sci. Plant. Anal. 31: 2969-2985.
18. Colvin, T. S., Arslan, S. and Meek, D. W. 1999. Yield monitors combines and their interactions. Technical Paper 1999-01-2846. Society of Automotive Engineering, Warrendale, PA. 8 pp.
19. Drummond, S. T., Sudduth, K. A., Joshi, A., Birrell, S. J. and Kitchen, N. R. 2003. Statistical and neural methods for site-specific yield prediction. Trans ASAE. 46: 5-14.
20. Eastman, J. R. 1999. IDRISI32 Guide to GIS and image processing. Volume 2. Clark Labs, Clark University, MA. 170 pp.
21. Eghball, B. and Power, J. F. 1995. Fractal description of temporal yield variability of 10 crops in the United States. Agron J. 87: 152-156.
22. Environmental Systems Research Institute, Inc. 1996. Using ArcView GIS. ESRI Inc., Redlands, CA. 340 pp.
23. Franzen, D. W., Cihacek, L. J., Hofman, V. L. and Swenson, L. J. 1998. Topography-based sampling compared with grid sampling in the northern Great Plains. J. Prod. Agric. 11: 364-370.
24. Goos, R. J. and Johnson, B. E. 2001. Response of spring wheat to phosphorus and sulphur starter fertilizers of differing acidification potential. J. Agric. Sci. 136: 283-289.
25. Hamm, J. W., Radford, F. G. and Halstead, E. H. 1970. The simultaneous determination of nitrogen, phosphorus and potassium in sodium bicarbonate extracts of soils. In Technicon International Congress, Advances in Automatic Analysis Vol. 2, Industrial Analysis Futura, Mont Kisco, NY.
26. Jacquemound, S. and Baret, F. 1990. PROSPECT: a model of leaf optical properties spectra. Remote Sens. Environ. 34: 75-91.
27. Jensen, J. R. 2000. Remote sensing of the environment: An earth resource perspective. Prentice Hall, NJ. 544 pp.
28. Karlen, D. L., Sadler, E. J. and Busscher, W. J. 1990. Crop yield variation associated with Coastal Plain soil map units. Soil Sci. Soc. Am. J. 54: 859-865.
29. Lark, R. M. 2001. Some tools for parsimonious modelling and interpretation of within-field variation of soil and crop systems. Soil Tillage Res. 58: 99-111.
30. Lark, R. M. and Stafford, J. V. 1998. Information on within-field variability from sequences of yield maps: multivariate classification as first step of interpretation. Nutrient Cycling in Agroecosystems 50: 271-281.
31. Lark, R. M., Stafford, J. V. and Bolam, H. C. 1997. Limitations on the spatial resolution of yield mapping for combinable crops. J. Agric. Eng. Res. 66:183-193.
32. Larscheid, G., Blackmore, B. S. and Moore, M. 1997. Management decisions based on yield maps. Pages 895-903 in J. V. Stafford, ed. Precision agriculture '97: Proceedings of the 1st European Conference on Precision Agriculture. BIOS Scientific Publishers, Oxford, UK.
33. Lillesand , T. M. and Kiefer, R. W. 1994. Remote sensing and image interpretation. 3rd ed. John Wiley and Sons, Inc., New York, NY. 750 pp.
34. Long, D. S., Carlson, G. R. and DeCloria. S. D. 1995. Quality of field management maps. Site-specific management for agricultural systems. ASA, CSSA, SSSA, Madisdon, WI. pp. 251-272.
35. Lutticken, R. E. 2000. Automation and standardisation of site specific soil sampling. Precision Agric. 2: 179-188.
36. Ma, B. L., Dwyer, L. M., Costa, C., Cober, E. R. and Morrison, M. J. 2001. Early prediction of soybean yield from canopy reflectance measurements. Agron. J. 93:1227-1234.
37. Mather, P. M. 2001. Computer processing of remotely sensed images: An introduction. 2nd ed. John Wiley and Sons, Chichester, UK. 292 pp.
38. Meinert, B. L. 1996. Characterization of the landscape using image analysis of panchromatic air photos for a farm in southwest Saskatchewan for the purpose of precision fanning. A master of agriculture thesis. University of Saskatchewan, Saskatoon, SK.
39. Minasny, B. and McBratney, A. B. 2002. FuzME version 3.0, Australian Centre for Precision Agriculture, University of Sydney, Asutralia. [Online] Available: http://www.usyd.edu.au/su/agric/acpa.
40. Moran, M. S., Inoue, Y. and Barnes, E. M. 1997. Opportunities and limitations for image based remote sensing in precision crop management. Remote Sens. Environ. 61: 319-346.
41. Mulla, D. J. and Schepers, J. S. 1997. Key processes and properties for site-specific soil and crop management. Pages 1-18 in F. J. Pierce and E. J. Sadler, eds. The state of site specific management for agriculture. ASA, CSSA, SSSA, Madison, WI.
42. Nilsson, H. E. 1995. Remote sensing and image analysis in plant pathology. Annu. Rev. Phytopathol. 15: 489-572.
43. Pennock, D., Walley, F., Solohub, M., Si, B. and Hnatowich, G. 2001. Topographically controlled yield response of canola to nitrogen fertilizer. Soil Sci. Soc. Am. J. 65: 1838-1845.
44. Penuelas, J., Gamon, J. A., Fredeen, A. L., Merino, J. and Field, C. B. 1994. Reflectance indices associated with physiological changes in nitrogen and water-limited sunflower leaves. Remote Sens. Environ. 48:135-146.
45. Pindyck, R. S. and Rubinfeld, D. L. 1981. Econometric models and economic forecasts. 2nd ed. McGraw-Hill, Singapore. 630 pp.
46. Rees, W. G. 2001. Physical principles of remote sensing. 2nd ed. Cambridge University Press, Cambridge, UK. 343 pp
47. Roberts, T. L., Zentner, B. and Campbell, C. 1999. Phosphorus pays - don't seed without it! News & Views. Potash and Phosphate Institute of Canada.
48. Rouse, J. W., Hass, R. H., Schell, J. A. and Deering, D. W. 1974. Monitoring vegetation systems in the Great Plains with ERTS. Proceedings Third Earth Resources Technology Satellite 1 Symposium, Greenbelt. NASA SP-351. 3010-3017.
49. Saskatchewan Soil Survey. 1988. Preliminary soil map and report: rural municipality of bone creek number 108. Saskatchewan Institute of Pedology and University of Saskatchewan, Saskatoon, SK.
50. Sellers, P. J. and Schimel, D. S. 1993. Remote sensing of the land biosphere and biogeochemistry in the EOS era: Science priorities, methods, and implementation EOS land biosphere and biogeochemical cycles panels. Global Planetary Change. 7: 279-297.
51. Selles, F., Zentner, R. P. and James, D. C. 2000. Alternatives for nitrogen fertilization of cereal crops under dryland farming conditions. Agriculture and Agri-Food Canada, Research Branch. Semiarid Prairie Agricultural Research Centre, Swift Current, SK. Publication No. 379M0210. 15 pp.
52. SPSS. 2000. SYSTAT 10 Statistics I. SPSS Inc., Chicago, IL.
53. Sudduth, K. A., Drummond, S. T., Birrell, S. J. and Kitchen, N. R. 1997. Spatial modeling of crop yield using soil and topographic data. Pages 439-447 in J.V. Stafford, ed. Precision Agriculture '97: Proceedings of the 1st European Conference on Precision Agriculture.BIOS Scientific Publishers, Oxford, UK.
54. Stevenson, F. C., Knight, J. D., Wendroth, O., van Kessel, C. and Nielsen, D. R. 2001. A comparison of two methods to predict the landscape-scale variation of crop yield. Soil Tillage Res. 58: 163-181.
55. Tisdale, S. L., Nelson, W. L. and Beaton, J. D. 1985. Soil fertility and fertilizers. 4th ed. Collier Macmillan Publishers, London, UK.
56. Trischenko, A. P., Cihlar, J. and Li, Z. 2002. Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors. Remote Sens. Environ. 81: 1-18.
57. Tucker, C. J. 1979. Red and photographic infrared linear combination for monitoring vegetation. Remote Sens. Environ. 7: 279-297.
58. Varvel, G. E., Schlemmer, M. R. and Schepers, J. S. 1999. Relationship between spectral data from an aerial image and soil organic matter and phosphorus levels. J. Precision Agric. 1: 291-300.
59. Whelan, B. M. and McBratney, A. B. 1997. Sorghum grain flow convolution within a conventional combine harvester. Pages 759-766 in J. V. Stafford, ed. Precision Agriculture '97: Proceedings of the 1st European Conference on Precision Agriculture. BIOS Scientific Publishers, Oxford, UK.
60. Wiegand, C. L., Richardson, D. E., Escobar, D. E. and Gerbermann, A. H. 1991. Vegetation indices in crop assessments. Remote Sens. Environ. 35: 105-119.
61. Wollenhaupt, N. C., Mulla, D. J. and Gotway, C. A. 1997. Soil sampling and interpolation techniques for mapping spatial variability of soil properties. Pages 19-54 in F. J. Pierce and E. J. Sadler, eds. The state of site specific management for agriculture. ASA, CSSA, SSSA, Madison, WI.
62. Zebarth, B. J. and de Jong, E. 1989. Water flow in a hummocky landscape in Central Saskatchewan, Canada. I. Distribution of water and soils. J. Hydrol. 107: 309-327.
63. Zhang, M., Hendley, P., Drost, D., O'Meill, M. and Ustin, S. 1998. Corn and soybean yield indicators using remotely sensed vegetation index. Pages 1475-1481 in P. C. Roberts et al., ed. Proc. Int. Precision Ag. Conf. 4th. Minneapolis, MN. 1998 Jun. 19-22. ASA, CSSA, and SSSA, Madison, WI.