Rice is the most essential and nutritional staple food crop worldwide. There is a need for accurate and timely rice mapping and monitoring which is a pre-requisite for crop management and food security. Recent studies utilize Sentinel-1 data for mapping and monitoring rice grown area. The present study was carried out in the Google Earth Engine (GEE), where the Sentinel-1data were used for monitoring the rice grown area over Kulithalai taluk of Karur district, located along the Cauvery delta region. Normally, the production of rice in the study area starts in the late Samba Season where the long duration variety Cr1009 (130 days) is extensively grown. The results exhibit a low backscattering values during the transplanting stage of VV and VH polarisation (-15.19 db and -24.6 db), whereas maximum backscattering is experienced at peak vegetation stage of VV and VH polarisation (-7.42 and -16.9 db) and there is a decrease in the backscattering values after attaining the maturity stage. Amongst VH and VV polarisation, VH polarisation provides a consistently increasing trend in backscatter coefficients from the panicle initiation phase to the early milking phase after which the crop attains its maturity phase, whereas in the VV polarisation early peak of backscatter coefficients are seen at much earlier during the flowering phase itself. Thus, in this study, VV polarisation gives better interpretation than VH Polarisation in the selected rice crop fields. The obtained results were cross-validated by collecting the ground truth values during the satellite data acquisition time, throughout the crop growing period from the selected rice fields.
Previous Article in event
Next Article in event
Rice Monitoring Using Sentinel-1 data in Google Earth Engine Platform
Published: 05 June 2019 by MDPI in 2nd International Electronic Conference on Geosciences session Earth Sciences through Earth Observation
Keywords: Rice Monitoring, Sentinel-1, Google Earth Engine, Growing Stages, Backscatter