Abstract
In the present study three phenological stages of rice namely transplanting stage, heading stage and harvesting stages were derived from MODIS EVI data. SMAP L-band was used to identify the puddling field. The performance of the estimated phenological stages from MODIS EVI and SMAP were evaluated with field data and root mean square error (RMSE) was calculated. The rice yield estimation was also performed by application of second order polynomial method. The performance of the polynomial model showed good results with the coefficient of determination of 0.74.
Highlights
Agriculture contributes 14 per cent of total gross domestic product (GDP) of India
Li et al(2016)used polarimetric SAR data and MODIS vegetation data to study to rice phenology
The present study used MODIS enhanced vegetation index (EVI) with 500 m spatial resolution.The MODISEVI data were downloaded from United states geological survey organisation (USGS) earth explorer from 1stDecember 2017 to 20th April 2018
Summary
Agriculture contributes 14 per cent of total gross domestic product (GDP) of India. Rice occupies significant share in agricultural products output in India. Keywords : Phenology, rice, MODIS EVI, SMAP, yield,remote sensing. The EVI provides an opportunity to investigate rice crop phenology and yield estimation. Shihua et al(2014) studied the rice phenomics using enhanced vegetation index data.
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