[Objective] This study aims to identify and quantify the long-term evolution characteristics of overbank flood processes in the lower Jingjiang River in the middle reaches of the Yangtze River (from 1966 to 2023) using high-temporal-resolution data, and to explore their relationships with climate change and upstream reservoir groups, thereby providing a scientific basis for riverbed evolution, river ecological assessment, and ecological restoration and flood management in the lower Jingjiang River. [Methods] Based on the flood element data from the Jianli hydrological station, overbank flood processes were identified using the bankfull discharge as the threshold. A hydrological indicator system was constructed from three dimensions: 1) temporal characteristics, including earliest start date, date of maximum flood, latest end date, and their decadal median values; 2) frequency and duration, including annual occurrence frequency, total annual duration, total annual rising-water duration, total annual falling-water duration, average duration, and maximum duration; and 3) intensity, including average discharge, maximum discharge, average flood volume, maximum flood volume, and total annual flood volume. For each indicator, the decadal median value and frequency distribution were calculated, and the interannual variation trends and phased differences were investigated. [Results] 1) In terms of occurrence timing, the earliest start dates mainly concentrated from late June to early July, showing phased variations. The decadal median value of latest end dates was gradually delayed from September 5 to October 5 during the 1960s-1980s. The largest overbank flood events mostly occurred from early to mid-July, showing an overall delayed trend. 2) In terms of frequency and duration, the annual occurrence frequency was mostly (69%) 2 to 5 times. Fluctuations decreased after the 1970s, dropping to approximately 2 times per year in the early 2020s. The median total annual duration increased from 23 days in the 1960s to 63 days in the 1980s, then decreased rapidly after the 1990s, and dropped to 29 days in the early 2020s. The total annual rising-water duration exhibited a relatively small variation, while the total annual falling-water duration changed consistently with the total duration and was more affected by upstream flood regulation. The average duration and maximum duration increased significantly from the 1960s to the 1990s and then showed minor fluctuations after the 2000s. 3) Regarding discharge and flood volume, average discharge and maximum discharge increased significantly from the 1960s to the 1980s (by approximately 8% and 21%, respectively), and then decreased significantly from the 1990s to the 2020s (by 12% and 36%, respectively). The average flood volume gradually increased from the 1960s to the 1990s (by 1.5 times), significantly decreased in the 2000s (by 33%), and then rebounded rapidly after the 2010s. However, the maximum flood volume did not rebound simultaneously in the 2010s, indicating the “peak-shaving” effect of reservoirs on large floods. The changes from the 1960s to the 1980s were highly consistent with the increase in precipitation. After the 1990s, the flood regulation effect of the upstream reservoir groups dominated the changes in most indicators, exerting significant impacts particularly on the falling-water duration, total annual duration, maximum discharge, and total annual flood volume. However, average duration, maximum duration of overbank flood events, and average flood volume still maintained a good response to precipitation changes and could serve as hydrological indicators of precipitation changes. [Conclusion] This study reveals that the overbank flood processes in the lower Jingjiang River from 1966 to 2023 underwent distinct phased evolution. Precipitation was the dominant driver before the 1980s, while reservoir regulation became the main influencing factor after the 1990s. The combined effects of these two drivers lead to differential responses among different indicators. Average duration, maximum duration, and average flood volume can serve as sensitive indicators for monitoring long-term precipitation changes and assessing climatic impacts. In contrast, total duration, falling-water duration, maximum discharge, and total annual flood volume are highly sensitive to upstream project operations and should be incorporated into the evaluation system for regional water resources and ecological management. Future research needs to further couple high-resolution meteorological precipitation data, river channel morphological evolution, and ecological response data to provide decision-making support for the design of flood regulation schemes with ecological priorities.