Dharmesh Verma <br/><br/>
Basmati rice varietal differentiate using Sentinel-1 and Sentinel-2 data in Google Earth Engine 

 - pp1188-1999 
<br/><br/> A study on Basmati rice variety differentiation was carried out in two districts of Haryana, using Sentinel-1<br/>SAR and Sentinel-2 MSI time series data and a Random Forest (RF) classifier on the Google Earth Engine<br/>cloud computing platform. The fortnightly composite<br/>stack of VH-VV difference and Sentinel-2 multispectral bands and their Red-edge indices, Chlorophyll<br/>Index (CIgreen and CIred-edge), was analysed. Basmati<br/>varieties could be distinguished into long- and shortduration and early Basmati. The accuracy of the RF<br/>classifier model was validated by computing the AUC<br/>and receiver operating characteristic curves. AUC was<br/>> 0.9, ensuring the best model fitting and high accuracy.<br/>The results revealed that long-duration Basmati varieties are being replaced by shorter-duration varieties. 
<br/><br/><label>Subjects--Facted Index Terms: </label><br/>Basmati rice varieties<br/>Chlorophyll Index Red<br/>(CIred-edge)<br/>Chlorophyll Index Green (CIgreen)<br/> Google Earth Engine<br/>Random Forest