Abstract: Reservoir resettlement constitutes a systematic project encompassing population relocation, resource allocation, ecological conservation and social governance. The precision and efficiency of its full-life-cycle management exert a direct bearing on the vital interests of resettled residents, regional ecological security, as well as social harmony and stability. Against the backdrop of the in-depth advancement of digital government construction and rapid iteration of digital and intelligent technologies, the traditional governance paradigm for reservoir resettlement is plagued by prominent bottlenecks, including inaccurate verification of basic data, high subjectivity in planning and decision-making, lagged supervision over implementation, inefficient acceptance inspection, and extensive post-resettlement support. Digital and intelligent empowerment has thus emerged as a pivotal pathway to advance the high-quality development of reservoir resettlement undertakings. Taking the full-life-cycle management of reservoir resettlement as the main thread, this paper systematically elaborates on the core connotation of empowering reservoir resettlement governance via digital and intelligent technologies, and scientifically delineates the scope boundaries and core tasks of three sequential phases of reservoir resettlement, namely resettlement planning, resettlement implementation and post-resettlement support. Within this analytical framework, the paper comprehensively sorts out the application scenarios and practical approaches of digital and intelligent technologies across distinct resettlement stages. On this basis, four evolutionary logics underlying digital-intelligent empowered reservoir resettlement governance are summarized and refined. Finally, prospects for future research are proposed from four dimensions: facilitating the full-scale connectivity, sharing and collaboration of multi-source data, strengthening the in-depth adaptation of core technologies and scenario-based innovation, improving the guarantee system for digital-intelligent applications, and deepening the integration of digital-intelligent empowerment and governance models. This study aims to offer references for advancing the standardized and intelligent development of reservoir resettlement administration.