Estimation of paddy field rice yield in the Sephidrud system using Landsat images (case study : Some Sara)

Document Type : Original Article

Authors

1 PhD student, Irrigation Science Dept., Sari university of Agricultural Science and Natural Resources.., Sari., Iran

2 Associated Professor, Irrigation Science Dept., Sari university of Agricultural Science and Natural Resources., Sari., Iran

3 Assistant Professor, Irrigation Science Dept., Sari university of Agricultural Science and Natural Resources., Sari., Iran

4 Assistant Professor Irrigation Science Dept., university of Guilan., Rasht., Iran

Abstract

Early and precise estimation of rice production is a nationwide need in order to early import forecasting. The present study was carried out in the Sephidrod irrigation network of Iran to assess feasibility and accuracy of using remote sensing imagary in predicting regional rice yield. Four Landsat 5 and 7 images were acquired and processed, then NDVI, SAVI and LAI indices were calculated. For the second step a simple linear equation was fitted between these indices and rice biomass (BM), yield (Yld) and straw (St) measured in 110 paddy fields of common farmers. The results showed the best correlation between NDVI and BM achieved from Landsat5 in flowering stage of rice (R2=0.59, RMSE= 1030 kgha-1, NRMSE= 12%), For yield and St RMSE and NRMSE were : 12%, 434 and 15%, 711  kg.ha-1 . In term of using LAI the best correlation coefficient for BM, Yld and St were 0.6, 051 and 0.54. The observed inaccuracy were 919, 380 and 706  kg.ha-1 . A better correlation was observed between measured traits and SAVI comparing with NDVI and LAI. The correlation coefficient for Bm, Yld and St were 0.69, 0.58 and 0.53 with inaccuracy of 10%, 10% and 14% . RMSE for SAVI were 870, 375 and 680 kg.ha-1 for Bm, Yld and St, respectively. The result showed that remote sensing could estimate rice yield at flowering stage, at least 30 days before harvesting.

Keywords

References

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Iranian Journal of Irrigation & Drainage
Volume 8, Issue 3 - Serial Number 47
November and December 2014
Pages 591-601

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