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Use of GIS and remote sensing for crop diversification — a case study for Punjab state

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Abstract

In this study, an attempt has been made to suggest crop diversification based on soil and weather requirements of different crops. State level spatial databases of various agro-physical parameters such as rainfall, soil texture, physiography and problem soil along with the agricultural area derived from remote sensing data were integrated using GIS. A raster based modelling approach was followed to arrive at suitable zones for practicing different cropping systems. The results showed that the south-western Punjab is suitable for low water requiring crops such as desi cotton, pearl millet, gram etc., where as north-eastern Punjab with high rainfall and excess drainage should practice maize based cropping system. Rice can be substituted by maize and other crops in Central Punjab, where water table is going down fast. Using this approach the area of rice based cropping system can be reduced from present 24.7 lakh ha to 19.6 lakh ha, thereby reducing the degradation of valuable land and water resources.

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Authors and Affiliations

  1. Agricultural Resources Group, Space Applications Centre, 380 015, Ahmedabad, India

    S. S. Ray, Gargi Das, Sushma Panigrahy & J. S. Parihar

  2. Punjab Remote Sensing Centre, 141 004, Ludhiana, India

    Anil Sood & P. K. Sharma

Authors
  1. S. S. Ray
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  2. Anil Sood
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  3. Gargi Das
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  4. Sushma Panigrahy
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  5. P. K. Sharma
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  6. J. S. Parihar
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Corresponding author

Correspondence to S. S. Ray.

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Ray, S.S., Sood, A., Das, G. et al. Use of GIS and remote sensing for crop diversification — a case study for Punjab state. J Indian Soc Remote Sens 33, 181–188 (2005). https://doi.org/10.1007/BF02990034

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  • DOI: https://doi.org/10.1007/BF02990034

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