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Effect of acquisition date and TM spectral bands on wheat, mustard and gram classification accuracies

  • V. K. Dadhwal
  • J. S. Parihar
  • D. S. Ruhal
  • S. D. Jarwal
  • T. T. Medhavy
  • A. P. Khera
  • J. Singh
Article

Abstract

Single date classification accuracies of wheat, mustard and gram were investigated using TM data of five acquisition dates (January 24, February 9, 16,25 and March 12, 1988) and four band-combinations (TM 234 TM 345, TM 1234 and TM 2345) over an irrigated, optimum fertility site in Hisar (Haryana). Accuracies for wheat and gram were lowest on January 24 for all band-combinations and improved with later acquisitions. An interaction between acquisition date and band combination was apparent as accuracies with most optimal combinations remained high over the period from February 9 to March 12 ,while those with sub optimal combinations fluctuated widely from one date to another. The band-combinations which included middle-infrared (TM 2345 and TM 345) showed highest accuracies irrespective of crop and acquisition date while band combination of TM 234 consistently had lowest accuracies.

Keywords

Remote Sensing Classification Accuracy Landsat Sowing Date Band Combination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Brown, R.J. Ahern, F.J., Ryerson, R.A., Thomson, K.P.B., Goodenough, D.G., Mecornick, J.A., and Teillet, P.M. (1980) Rapeseed guidelines for operational monitoring. Proc. 6th Canadian Symp. on Remote Sensing, pp 321–330Google Scholar
  2. Chen, S.C., Batista, G.T., and Tasdin A.T. (1986) Landsat TM band-combinations for crop discrimination. Proc. 7th Int. Symp. Remote Sensing for Resorce Development and Environmental Management (Ensehedi, Netharlands, Aug. 25–29, 1986), Vol-1, pp 211–214Google Scholar
  3. Dadhwal, V.K., and Parihar, J.S. (1985) Estimation of 1983–84 wheat acreage of Karnal district (Haryana) using Landsat MSS digital data. Scientific Note IRS-UP/SAC/CPF/SN/09/85, 53 p.Google Scholar
  4. Dadhwal, V.K., and Parihar, J.S. (1989) Comparison of IRS LISS-I and LISS-II digital data with Landsat MSS and TM for land cover classification in Orissa. In National Seminar on Indian Remote Sensing Satellite-1A (IRS-1A) Mission and its Application Potential (Dec. 21–22, 1988, Hyderabad), in pressGoogle Scholar
  5. Dadhwal, V.K., and Parihar, J.S., Ruhal, D.S., Jarwal, S.D., Medhavy, T.T., Khera, A.P., and Singh, J. (1988) Use of Landsat MSS data for wheat acreage estimation in Haryana. Proc. Natn. Symp. Remote Sensing in Rural Development, Nov. 17–19, 1988, Hisar, pp. 171–180.Google Scholar
  6. Xion, M.M., Bauer, M.E., and Scholz, D.K. (1982) An assessment of Landsat data acquisition history in identification and area estimation of corn and soyabeans. Remote Sensing of Environ.12: 123–128CrossRefGoogle Scholar
  7. Horler, D.N.H., Bernir, M., Thomson, K.P.B., Teillet, P.M., Staenz, K., Fedosejevs, G., and Wallace, K. (1984) Field spectroradiometry in the development of a corn area estimation method in Canada. Proc. 8th Canadian Symp. on Remote Sensing pp. 375 – 385.Google Scholar
  8. Kumar, R. (1977) Separability of agricultural cover types in spectral channels and wavelegths regions. IEEE Trans Geoscience ElectronicsGE-18: 263–267Google Scholar
  9. Kumar, R., and Siva, L.F. (1980) Separability of agricultural covertypes by remote sensing in the visible and infrared wavelenth regions. IEEE Trans Geoscience ElectronicsGE-15: 41–49Google Scholar
  10. Richardson, A.J., Wiegand, C.L., Torline, R.J., and Gantreaux, M.R. (1977) Landsat agricultural landuse survey. Photogramm. Engg. Remote Sensing 43: 207–216Google Scholar
  11. Ruhal, D.S., Dadhwal, V.K., Parihar, J.S., Jarwal, S.D., Medhavy, T.T., Singh, J., and Khera, A.P. (1988) Studies on within crop variability in wheat using Landsat TM data. Proc. Natn, Symp. Remote Sensing in Rural Development Nov. 17–19, 1988. Hisar pp. 199–208.Google Scholar
  12. Townshend, J.R.G. (1984) Agricultural and cover discrimination using Thematic mapper Spectral bands. International J. Remote Sensing 5: 681–692CrossRefGoogle Scholar
  13. Ungar, S.G., and Goward, S.N. (1983) Enhanced crop discrimination using the mid-ir (1.55–1.75 µm) Adv. Space Res.2: 291–295CrossRefGoogle Scholar
  14. Williamson, H.D. (1988) Evaluation of middle and thermal infrared radiance in indices used to estimate GLAI. Int. J. Remote Sens.9: 275–283CrossRefGoogle Scholar

Copyright information

© Springer 1989

Authors and Affiliations

  • V. K. Dadhwal
    • 1
  • J. S. Parihar
    • 1
  • D. S. Ruhal
    • 2
  • S. D. Jarwal
    • 2
  • T. T. Medhavy
    • 1
  • A. P. Khera
    • 2
  • J. Singh
    • 2
  1. 1.Land Resources DivisionSACAhmedabad - 53
  2. 2.Department of SoilsHAUHisar

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