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EBLUP Estimate of Crop Yield at Sub-district Level in Hisar District, Haryana, India using MODIS/terra Data


Affiliations
1 Department of Mathematics and Statistics, CCS Haryana Agricultural University, Hisar 125 004, India
2 Department of Agricultural Meteorology, CCS Haryana Agricultural University, Hisar 125 004,, India
 

The present study was carried out to develop im-proved crop yield estimates for rice and wheat crops through the Empirical Best Linear Unbiased Predic-tion (EBLUP) procedure via the Fay–Herriot area level model at sub-district level in Hisar district. Village-wise crop cutting data and auxiliary remote sensing data (satellite imaginaries) derived from the MODIS Vegetation Indices (MOD13Q1) version 6 were used for model construction. It is noteworthy that the coef-ficient of variation of the developed EBLUP estimates was below 10% for almost all sub-districts. The study revealed a significant enhancement in the efficiency of the yield estimator in comparison to the direct estima-tor, which recommended that with the use of remote sensing data together with crop cutting experiment data, crop yield estimates can be obtained on a small-er scale than the district using existing crop cutting experiments in the district.

Keywords

Crop Yield Estimation, Fay–herriot Area Level Model, MODIS/terra, NDVI, Small Area Estimation.
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  • EBLUP Estimate of Crop Yield at Sub-district Level in Hisar District, Haryana, India using MODIS/terra Data

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Authors

P. K. Muhammed Jaslam
Department of Mathematics and Statistics, CCS Haryana Agricultural University, Hisar 125 004, India
Manoj Kumar
Department of Mathematics and Statistics, CCS Haryana Agricultural University, Hisar 125 004, India
Anurag
Department of Agricultural Meteorology, CCS Haryana Agricultural University, Hisar 125 004,, India
Manjeet
Department of Agricultural Meteorology, CCS Haryana Agricultural University, Hisar 125 004,, India

Abstract


The present study was carried out to develop im-proved crop yield estimates for rice and wheat crops through the Empirical Best Linear Unbiased Predic-tion (EBLUP) procedure via the Fay–Herriot area level model at sub-district level in Hisar district. Village-wise crop cutting data and auxiliary remote sensing data (satellite imaginaries) derived from the MODIS Vegetation Indices (MOD13Q1) version 6 were used for model construction. It is noteworthy that the coef-ficient of variation of the developed EBLUP estimates was below 10% for almost all sub-districts. The study revealed a significant enhancement in the efficiency of the yield estimator in comparison to the direct estima-tor, which recommended that with the use of remote sensing data together with crop cutting experiment data, crop yield estimates can be obtained on a small-er scale than the district using existing crop cutting experiments in the district.

Keywords


Crop Yield Estimation, Fay–herriot Area Level Model, MODIS/terra, NDVI, Small Area Estimation.



DOI: https://doi.org/10.18520/cs%2Fv119%2Fi12%2F1982-1989