Soil organic carbon (SOC) is a key indicator of soil quality and an essential component of climate change mitigation strategies. However, long-term SOC monitoring based exclusively on field measurements is often limited by data scarcity, spatial heterogeneity and the high cost of repeated sampling. This study assesses the potential of combining field observations, remote sensing-derived proxies and process-based modelling to simulate SOC dynamics in the Guadiamar Green Corridor, Seville, Spain,