Development of Rice Production Estimation Model Using Sentinel-2a Satellite Imagery

Achieving food self-sufficiency, especially rice, is our shared dream. Extreme climate change is sometimes difficult to realize the dream on an ongoing basis so that rice imports are often inevitable. However, determining the right time to import rice is a crucial decision between maintaining the stability of national rice stocks and falling rice prices among farmers during the harvest season. For this reason, the availability of rice production data before harvest is very important.

This study aims to estimate rice production before harvest is done by using remote sensing data. The use of Landsat 7 and Landsat 8 imagery has been done since 10 years ago and estimation models have also been published. A few years ago, the new generation Sentinel-2A remote sensing satellite was launched by the European Space Agency (ESA). The resulting satellite imagery has better spatial, temporal, spectral, and radiometric resolution than the previous generation imagery, which provides new hopes and challenges in creating an estimation model for rice production. Of all the advantages it has, it is hoped that the Sentinel-2A remote sensing satellite image can create a more accurate new model of rice production estimation with the previously published model.