Peat swamp forests, naturally potent carbon sinks, face significant functional alterations due to human activities like drainage, degradation, and conversion to plantations/agriculture, leading to a shift from forest cover and reduced groundwater levels (GWL). This transformation diminishes carbon absorption capacity and triggers carbon emissions through peat decomposition. Furthermore, prolonged droughts exacerbate desiccation and combustion, releasing substantial carbon into the atmosphere. To counter peat degradation, this project explores the application of paludiculture—agriculture on wet/rewetted peatlands—a nature-based solution preserving peat. However, the success of paludiculture depends on effective, near-real-time monitoring of extensive peatland conditions. Therefore, this project proposes a remote sensing and IoT-based monitoring system integrating satellite imagery with field sensors and user-friendly interfaces to enhance climate resilience in paludiculture practices under changing climatic conditions that increase drought and fire risks. This system aims to facilitate sustainable peat swamp forest management, aligned with SDGs, by policymakers (particularly local government) and practitioners. Capacity building will disseminate open satellite data utilisation and IoT system implementation for improved local economic outcomes. Ultimately, these activities contribute to mitigating emissions from peat decomposition and peatland/forest fires.