Rice is the majority food in Asia area, which is widely planted in China especially in Sichuan province (southwest China), where the paddies can be classified into various categories. Remote sensing of paddy with synthetic aperture radar (SAR) has been an important component in rice monitoring and yield prediction during the past decades. Microwave remote sensing has the merits of penetrating cloud cover, being suitable for all kinds of weather conditions, and available day and night. Thus, it is taken into account. The backscattering coefficient from satellite SAR systems is interpreted for rice growth monitoring. The SAR data, ERS-1/2,1–2 JERS-1,3 RADARSAT-1/2,4,5 and ENVISAT ASAR,6,7 have been used to map and monitor rice growth in worldwide test areas. The temporal behavior was effectively reported in a number of studies based on these SAR data. Rice monitoring has been extensively researched in the world, especially in Asia, including in China;8,9 there is much research in India,10 Japan,11 and other southeast Asian countries.12,13 Many well-known techniques, such as SAR inteferometry, SAR polarimetry, multiparametric SAR data, and so on, are used for plant parameter retrieval such as plant height, plant density, crop biomass, crop moisture, and two-way attenuation through the canopy.14–17 Initial studies have shown that the backscattering coefficient of rice obtained with spaceborne and airborne sensors presents obvious temporal variations corresponding to the high growth rate of rice plants. This temporal change in rice growth stages is crucial to distinguish rice crops from other covering types. However, the aforementioned information is limited to certain incidence angles, partial polarization, and particular satellite images. A ground scatterometer has been used to measure and study the scattering characteristics of rice in different regions because of its full polarization responses of a paddy at different frequencies and various incidence angles.