TY  - BOOK
AU  - Dharmesh Verma
AU  - *, Manik H. Kalubarme2
TI  - Basmati rice varietal differentiate using Sentinel-1 and Sentinel-2 data in Google Earth Engine
KW  - Basmati rice varieties
KW  - Chlorophyll Index Red
KW  - (CIred-edge)
KW  - Chlorophyll Index Green (CIgreen)
KW  -  Google Earth Engine
KW  - Random Forest
N2  - A study on Basmati rice variety differentiation was carried out in two districts of Haryana, using Sentinel-1
SAR and Sentinel-2 MSI time series data and a Random Forest (RF) classifier on the Google Earth Engine
cloud computing platform. The fortnightly composite
stack of VH-VV difference and Sentinel-2 multispectral bands and their Red-edge indices, Chlorophyll
Index (CIgreen and CIred-edge), was analysed. Basmati
varieties could be distinguished into long- and shortduration and early Basmati. The accuracy of the RF
classifier model was validated by computing the AUC
and receiver operating characteristic curves. AUC was
> 0.9, ensuring the best model fitting and high accuracy.
The results revealed that long-duration Basmati varieties are being replaced by shorter-duration varieties
ER  -