Crop Identification by Fuzzy C-Mean in Ravi Season Using Multi-Spectral Temporal Images

  • Sananda Kundu
  • Deepak Khare
  • Arun Mondal
  • P. K. Mishra
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 259)

Abstract

Information regarding spatial distribution of different crops in a region of multi-cropping system is required for management and planning. In the present study, multi dated LISS-III and AWiFS data were used for crop identification. The cultivable land area extracted from the landuse classification of LISS-III image was used to generate spectral-temporal profile of crops according to their growth stages with Normalised Difference Vegetation Index (NDVI) method. The reflectance from the crops on 9 different dates identified separate spectral behavior. This combined NDVI image was then classified by Fuzzy C-Mean (FCM) method again to get 5 crop types for around 12,000 km2 area on Narmada river basin of Madhya Pradesh. The accuracy assessment of the classification showed overall accuracy of 88 % and overall Kappa of 0.83. The crop identification was done for one entire Ravi season from 23 October 2011 to 10 March 2012.

Keywords

Crop identification NDVI Fuzzy C-Mean Narmada river basin 

Notes

Acknowledgments

The authors are thankful to the National Remote Sensing Centre (NRSC) for providing the AWiFS and LISS-III satellite images for the study area and to the UGC for financial assistance.

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Copyright information

© Springer India 2014

Authors and Affiliations

  • Sananda Kundu
    • 1
  • Deepak Khare
    • 1
  • Arun Mondal
    • 1
  • P. K. Mishra
    • 2
  1. 1.Department of Water Resources Development and ManagementIndian Institute of TechnologyRoorkeeIndia
  2. 2.Water Resources Systems Division National Institute of HydrologyRoorkeeIndia

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