Coastal climate change is a complex emerging problem, and remote Indigenous communities face higher risks and inequitable support. Geographic information systems (GIS) provide technical capacity for spatial analyses, which can be paired with intentional methodologies and applications to produce invaluable support for internal management capacity. Through CRCNA funding, the Anindilyakwa Land Council (ALC) led research on their own Country and maintained full data-sovereignty. The results included models of sea level rise using high resolution LiDAR and a multi-criteria coastal erosion risk assessment. These models were developed during knowledge sharing sessions between the researcher and Traditional Owners and rangers, including a participatory mapping workshop. The final publications included a Story Map (hosted by ESRI) which includes contextual knowledge about climate change impacts, visually dynamic presentation of the maps and models, and integration with publicly available datasets of ecological and cultural significance (i.e., mangroves and access to Country). Under the increasing pressures of coastal climate change, this is an exemplar of locally contextualised risk knowledge, by examining the intersection of hazards (such as the geomorphological modelling) and values (spatially explicit ecological and cultural datasets). The overarching outcome is a working knowledge that is useful and accessible for ongoing internal decision-making.