Anais do XX Simpósio Brasileiro de Sensoriamento Remoto

The use of existing technologies within the science of remote sensing has increasingly contributed to the development of agriculture. Thus, our objective with this research was to compare whether active and passive sensors are considerably related to estimating rice crops' biophysical characteristics at different dates during their growth stages. This project will present correlations between active optical sensors with Sentinel 2 satellite spectral bands. The vegetation indices to be used were: NDVI and CIRE. All the data simple linear regression and Pearson correlations were performed to compare active and passive sensors (satellite imageries data) with active crop canopy sensor technology. The averaged data were used along rice phenology to illustrate the dynamic of both sensors during the entire rice season. We concluded that the active sensor has greater results than the passive sensor due to its being more stable for data collection.