In the aftermath of a large-scale nuclear emergency like Chernobyl (1989) and Fukushima (2011), selection and prioritization of affected farmland for remediation are key to return to normalcy in food production. Ranking and prioritization in this context becomes increasingly difficult with time and resource constraints and often conflicting criteria. In this MSc. thesis project, a hypothetical nuclear accident scenario with atmospheric release in the nuclear plant of Tihange will be studied. Using Stakeholder engagement (expert groups) and literature, criteria will be set for the multi-criteria decision analysis. More advanced MCDA techniques will be explored contributing to a better decision-making processes and management of uncertainty in a nuclear context. These criteria will be implemented in a spatially explicit MCDA workflow, for prioritization of remediation efforts after a nuclear disaster. The projects is part of coordinated research activities “Remediation of radioactive contaminated agricultural land” in collaboration with the IAEA.