Radar remote sensing is appropriate for rice monitoring because the areas where this crop is cultivated are often cloudy and rainy. Especially, SyntheticAperture Radar (SAR) can acquire remote sensing information with a high temporal resolution in tropical and subtropical regions due to its all-weathercapability. This paper analyzes the relationships between backscattering coefficients of rice measured by RADARSAT-2 SAR and growth parametersduring a rice growth period. And we applied the relationships to crop monitoring of paddy rice in North Korea. As a result, plant height and Leaf AreaIndex (LAI) increased until Day Of Year (DOY) 234 and then decreased, while fresh weight and dry weight increased until DOY 253. Correlationcoefficients revealed that Horizontal transmit and Horizontal receive polarization (HH)-polarization backscattering coefficients were correlated highlywith plant height (r=0.95), fresh weight (r=0.92), vegetation water content (r=0.91), LAI (r=0.90), and dry weight (r=0.89). Based on the observedrelationships between backscattering coefficients and variables of cultivation, prediction equations were developed using the HH-polarizationbackscattering coefficients. Concerning the evaluation for the applicability of the LAI distribution from RADARSAT-2, the LAI statistic was evaluatedin comparison with LAI distribution from RapidEye image. And LAI distributions in Pyongyang were presented to show spatial variability forunaccessible areas.