Journal of the Indian Society of Remote Sensing

, Volume 26, Issue 1, pp 7–14

Wheat crop classification using multidate IRS LISS-I data

Authors

  • Sujay Dutta
    • Agriculture Resources Division, Space Applications CentreIndian Space Research Organisation (SIRO)
  • NK Patel
    • Agriculture Resources Division, Space Applications CentreIndian Space Research Organisation (SIRO)
  • TT Medhavy
    • Agriculture Resources Division, Space Applications CentreIndian Space Research Organisation (SIRO)
  • SK Srivastava
    • Bihar State Remote Sensing Centre
  • Naveen Mishra
    • Bihar State Remote Sensing Centre
  • KRP Singh
    • Bihar State Remote Sensing Centre
Article

DOI: 10.1007/BF03007334

Cite this article as:
Dutta, S., Patel, N., Medhavy, T. et al. J Indian Soc Remote Sens (1998) 26: 7. doi:10.1007/BF03007334

Abstract

Multi temporal dat acquired at different growth stages increases the dimensionality information content and have advantage over single date data for crop classification. Attempt was made to select suitable single date and combination of multidate data for wheat crop classification in Nalanda district of Bihar state where pulses and other crops are also grown in rabi season. Amongst the single date data February data was found to be better for wheat classification in comparison to November. January, March and April data. Combination of first two principal components each derived from IRS LISS-I four band data acquired in January and February was found to be the best set. Wheat classification accuracy achieved was 94.54 percent.

Copyright information

© Springer 1998