High-level ecological management objectives are similar across large spatial and ecological scales, yet programs to monitor outcomes often use vastly different methods. This means that reporting on program-wide or landscape-scale outcomes across multiple programs is difficult. Additionally, advances in technology and method designs present opportunities to improve effectiveness but are difficult to implement against method inertia. The misalignment of survey methods and lack of method advancement reduces the ability to evaluate ecological processes at larger spatial or temporal scales. This subsequently reduces the cost-effectiveness of public funding for environmental monitoring and research. Alignment of survey methods at large scales and adopting new approaches can be extremely difficult, particularly when programs have been using different approaches for many years. We present a complex case study of vegetation monitoring on Murray River floodplains to demonstrate how alignment of survey methods and method refinement can be achieved across multiple programs to improve monitoring and research outcomes. Monitoring methods for trees, shrubs and understorey were identified as problematic in various ways. Over several years, we brought together program partners and managers from NRM and Government agencies to understand the problems, review existing approaches, and to develop and test solutions to improve evaluation and allow comparisons between massive datasets that were previously not possible. The outcome was a fully revised monitoring program incorporating standard methods across programs, the adoption of new approaches and technologies, and alignment of new and old data where needed. This standardisation will enable alignment of millions of dollars’ worth of monitoring data from the past to the future, improve ecological understanding and evaluation, and guide more effective investments.