Monitoring of Paddy and Maize Fields Using Sentinel-1 SAR Data and NGB Images: A Case Study in Papua, Indonesia

This study addresses the question of how to evaluate growth stage food crops, for instance, paddy (Oryza sativa) and maize (Zea mays), from two different sensors in selected developed areas Papua Province Indonesia. Level-1 Ground Range Detected (L1 GRD) images Sentinel-1 Synthetic Aperture Radar (SAR) data were used investigate crops. An NGB camera was then obtain Green Normalized Difference Vegetation Index (GNDVI), Enhanced (ENDVI) as situ measurement. Afterwards, results analyzed based on (RVI) Vertical-Vertical (VV) Vertical Horizontal (VH) band backscatters at incidence angles 30.55°–45.88°, 30.59°–46.16° 2021 2022, respectively. The findings showed that Sigma0_VV_db sigma0_VH_db had a strong correlation (R2 above 0.900); however, polarization modification is required, specifically field. RVI calculated backscatter changes this comparable measurements, those fields, 2022. Even though not able prove values relative orbits (orbit31 orbit155) due angle incidences availability SAR set over area, division image each orbit adequately represents development crops our areas. significance expected support crop security implementation plans contribute local government’s goals settings.