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Paddy crop yield estimation in Kashmir Himalayan rice bowl using remote sensing and simulation model

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Abstract

The Kashmir Himalayan region of India is expected to be highly prone to the change in agricultural land use because of its geo-ecological fragility, strategic location vis-à-vis the Himalayan landscape, its trans-boundary river basins, and inherent socio-economic instabilities. Food security and sustainability of the region are thus greatly challenged by these impacts. The effect of future climate change, increased competition for land and water, labor from non-agricultural sectors, and increasing population adds to this complex problem. In current study, paddy rice yield at regional level was estimated using GIS-based environment policy integrated climate (GEPIC) model. The general approach of current study involved combining regional level crop database, regional soil data base, farm management data, and climatic data outputs with GEPIC model. The simulated yield showed that estimated production to be 4305.55 kg/ha (43.05 q h−1). The crop varieties like Jhelum, K-39, Chenab, China 1039, China-1007, and Shalimar rice-1 grown in plains recorded average yield of 4783.3 kg/ha (47.83 q ha−1). Meanwhile, high altitude areas with varieties like Kohsaar, K-78 (Barkat), and K-332 recorded yield of 4102.2 kg/ha (41.02 q ha−1). The observed and simulated yield showed a good match with R 2 = 0.95, RMSE = 132.24 kg/ha, respectively.

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Acknowledgments

I acknowledge assistance extended by the EPIC support team at Backland Research Center, Texas and Swiss Federal Institute for Aquatic Science and Technology (EAWAG), for providing the software support. I acknowledge Mr. Christian Fobes, Swiss Federal Institute for Aquatic Science and Technology (EAWAG) for technical support in down scaling the model. I also like to thank IMD Srinagar for the supply of meteorological data for the study. I acknowledge the anonymous reviewers for the time and effort devoted to review this manuscript.

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  1. Department of Ecology, Environment and Remote Sensing, SDA colony Bemina, Srinagar, Kashmir, India, 190018

    Mohammad Muslim

  2. Department of Earth Sciences, University of Kashmir, Hazratbal, Srinagar, Kashmir, India, 190006

    Shakil Ahmad Romshoo

  3. Division of Environmental Sciences, Sher-e-kashmir University of Agricultural Science and Technology, Shalimar, Kashmir, India, 191121

    A. Q. Rather

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Muslim, M., Romshoo, S.A. & Rather, A.Q. Paddy crop yield estimation in Kashmir Himalayan rice bowl using remote sensing and simulation model. Environ Monit Assess 187, 316 (2015). https://doi.org/10.1007/s10661-015-4564-9

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