In this study, sugar beet growth was evaluated using two satellite images taken during different years, alongside an analysis of in field factors in areas with relatively poor growth. The research was conducted in two lowland soil fields located in Shikaoi Town, Tokachi region, Hokkaido, Japan. The satellite images taken in early July when the rainfall from May to June was heavy (2016) and light (2020) were used. Sugar beet growth was assessed through the normalized difference vegetation index (NDVI). In field A, a significant positive correlation (p<0.01) was observed between the NDVIs of both years. This finding suggests that areas with poor growth were consistently affected by rainfall conditions, likely due to soil characteristics, such as the presence of ineffective soil layers. In contrast, field B showed low NDVI values only during wet years, indicating poor drainage in those areas. In other areas, a marked positive correlation (p<0.01) was found between NDVI values across both years. This consistent pattern indicates that soil characteristics in these areas, particularly the lack of effective soil layers, were the primary factors influencing growth. To validate these findings, soil profile surveys, interviews with local producers, and soil chemical analysis were conducted. The surveys revealed a gravel layer directly below the plow layer in areas that were assumed to lack effective soil layers. Furthermore, the areas with poor drainage were consistent with the interview survey results of the local producers. On comparing the soil chemistry in areas with insufficient effective soil layers or poor drainage with other areas, it was concluded that its influence on sugar beet growth was marginal.