000			01368nam a2200145 4500
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100			_aDharmesh Verma
245			_aBasmati rice varietal differentiate using Sentinel-1 and Sentinel-2 data in Google Earth Engine
300			_app1188-1999
520			_aA 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.
654			_aBasmati rice varieties _aChlorophyll Index Red _a(CIred-edge) _aChlorophyll Index Green (CIgreen) _a Google Earth Engine _aRandom Forest
700			_a*, Manik H. Kalubarme2
773	0		_0125299 _9113183 _tCurrent Science _x 0011-3891
942			_cJA
999			_c132595 _d132595