Relating Hyperspectral Image Bands and Vegetation Indices to Corn and Soybean Yield |
Jang Gab-Sue
(Chungnam Development Institute)
Sudduth Kenneth A. (USDA-ARS Cropping Systems and Water Quality Research Unit) Hong Suk-Young (National Institute of Agricultural Science and Technology) Kitchen Newell R. (USDA-ARS Cropping Systems and Water Quality Research Unit) Palm Harlan L. (Department of Agronomy, University of Missouri) |
1 | Thenkabail, P. S., R. B. Smith, and E. D. Pauw, 2000. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing of Environment, 71: 158-182 DOI ScienceOn |
2 | Yang, C., J. H. Everitt, and J. M. Bradford, 2004. Airborne hyperspectral imagery and yield monitor data for estimating grain sorghum yield variability. Transactions of the ASAE, 47(3): 915-924 DOI |
3 | Lorenzen, B. and A. Jensen, 1989. Changes in leaf spectral properties induced in barley by cereal powdery mildew. Remote Sensing of Environment, 27: 201-209 DOI ScienceOn |
4 | Neter, J., W. Wasserman, and M. H. Kutner, 1985. Applied Linear Statistical Models. Richard D. Irwin, Inc., Homewood, IL, USA, pp. 391-393 |
5 | Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deering, 1974. Monitoring vegetation systems in the Great Plains with ERTS. In: Proc. 3rd Earth Resources Technology Satellite-1 Symposium. SP-351, NASA, Greenbelt, MD, USA, pp. 310-317 |
6 | Lillesand, T. M., R. W. Kiefer, and J. W. Chipman, 2004. Remote Sensing and Image Interpretation. John Wiley & Sons, Inc., Danvers, MA, USA, pp. 330-393 |
7 | SAS Institute, 1999. SAS/STAT user's guide, version 8. SAS Institute. Inc., Cary, NC, USA, pp. 27-49 |
8 | Birrell, S. J., K. A. Sudduth, and S. C. Borgelt, 1996. Comparison of sensors and techniques for crop yield mapping. Computers and Electronics in Agriculture, 14: 215-233 DOI ScienceOn |
9 | Hong, S. Y., K. A. Sudduth, N. R. Kitchen, H. L. Palm, and W. J. Wiebold, 2001. Using hyperspectral remote sensing data to quantify within-field spatial variability. In: Proc. Third Intl. Conf. on Geospatial Information in Agriculture and Forestry. Veridian, Ann Arbor, MI. CDROM |
10 | Robinson, T. P. and G. Metternicht, 2005. Comparing the performance of techniques to improve the quality of yield maps. Agricultural Systems, 85: 19-41 DOI ScienceOn |
11 | Deguise, J. C., M. McGovern, and K. Staenz, 1998. Spatial high resolution crop measurements with airborne hyperspectral remote sensing. In Proc. 4th International Conference on Precision Agriculture, edited by P. C. Robert, R. H. Rust, and W. E. Larson. ASA/CSSA/SSSA, Madison, WI, USA, pp. 1603-1608 |
12 | Drummond, S. T. and K. A. Sudduth, 2005. Analysis of errors affecting yield map accuracy. In: Proc. 7th International Conference on Precision Agriculture, edited by D. J. Mulla. Precision Agriculture Center, University of Minnesota, St. Paul, MN, USA. CDROM |
13 | Jensen, J. R., 2000. Remote Sensing of the Environment: An Earth Resource Perspective. Prentice Hall, Inc., Upper Saddle River, NJ, USA, pp. 33-35, 364-365 |
14 | Willis, P. R., P. G. Carter, and C. J. Johansen, 1998. Assessing yield parameters by remote sensing techniques. In: Proc. 4th International Conference on Precision Agriculture, edited by P. C. Robert, R. H. Rust and W. E. Larson. ASA/CSSA/SSSA, Madison, WI, USA, pp. 1413-1422 |
15 | Mao, C., 1999. Hyperspectral imaging systems with digital CCD cameras for both airborne and laboratory application. In: Proc. 17th Biennial Workshop on Color Photography and Videography in Resource Assessment. American Society for Photogrammetry and Remote Sensing, Bethesda, MD, USA, pp. 31-40 |
16 | Lerch, R. N., N. R. Kitchen, R. J. Kremer, W. W. Donald, E. E. Alberts, E. J. Sadler, K. A. Sudduth, D. B. Myers, and F. Ghidey, 2005. Development of a conservation-oriented precision agriculture system: Water and soil quality assessment. Journal of Soil and Water Conservation, 60(6): 411-420 |
17 | Kitchen, N. R., K. A. Sudduth, D. B. Myers, R. E. Massey, E. J. Sadler, R. N. Lerch, J. W. Hummel, and H. L. Palm, 2005. Development of a conservation-oriented precision agriculture system: Crop production assessment and plan implementation. Journal of Soil and Water Conservation, 60(6): 421-429 |
18 | Yang, C. and J. H. Everitt, 2002. Relationships between yield monitor data and airborne multidate multispectral digital imagery for grain sorghum. Precision Agriculture, 3: 373-388 DOI ScienceOn |
19 | Birth, G. S. and G. McVey, 1968. Measuring the color of growing turf with a reflectance spectrophotometer. Agronomy Journal, 60: 640-643 DOI |
20 | GopalaPillai, S. and L. F. Tian, 1999. In-field variability detection and spatial yield modeling for corn using digital aerial imaging. Transactions of the ASAE, 42(6): 1911-1920 DOI |
21 | Huete, A. R., 1988. A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25: 295-309 DOI ScienceOn |
![]() |