This article, published on the ESS Open Archive, presents advanced research focused on refining the spatial mapping and understanding of soil organic carbon (SOC) distribution, utilizing an innovative probabilistic wetland representation to interpret complex cross-scale drivers. The study contributes significantly to global efforts in climate change mitigation and sustainable land management. Soil organic carbon is a vital component of soil health, playing a crucial role in soil fertility, structure, water retention, and microbial activity. Wetlands globally are recognized as substantial carbon sinks, storing a significant portion of terrestrial organic carbon, making their accurate representation in carbon accounting models and research essential for climate action. The methodology outlined in the research aims to enhance the precision of SOC predictions by considering various environmental and hydrological factors that influence carbon storage across different spatial scales. This improved understanding of SOC dynamics, particularly within diverse wetland ecosystems, can lead to the development of more effective strategies for carbon sequestration and ecosystem restoration worldwide. The ESS Open Archive, an initiative backed by the American Geophysical Union (AGU), serves as a reputable platform for disseminating early research outputs, including preprints, facilitating the rapid sharing of important scientific findings within the Earth and space science communities. For India, the implications of this research are particularly significant. The country's extensive agricultural sector heavily relies on healthy soils, yet Indian soils are increasingly challenged by organic carbon depletion due to intensive farming practices and widespread land degradation. Studies indicate that over 58% of Indian soils have low organic carbon content, which directly impacts agricultural productivity, water scarcity, and increases vulnerability to climate change impacts. Therefore, strategies aimed at enhancing and maintaining SOC, such as conservation agriculture, organic farming, and agroforestry, are crucial for India's food security and environmental resilience. Accurate mapping and interpretation of SOC distribution, as advanced by this research, can inform targeted policy interventions and management practices to address these critical challenges, thereby supporting sustainable agricultural development and climate action in India.