Navigating Geospatial Data Science: From Digital Soil Mapping to Future Innovations

Joshua Minai, Postdoctoral Appointee, Environmental Science Division
Seminar
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Soil science, a discipline at the heart of understanding Earth's critical zone, explores the complex processes governing soil formation, structure, and function. These processes are fundamental to sustaining ecosystems, supporting agriculture, and mitigating the impacts of climate change. The complexity of soil systems arises from their dynamic interactions—biological, chemical, and physical—occurring at various spatial and temporal scales. Addressing global challenges such as food security, environmental degradation, and carbon sequestration demands a deep understanding of these intricacies. My research journey has focused on leveraging geospatial data science to decode the spatial and temporal variability of soil properties. For my dissertation, I employed digital soil mapping and advanced statistical models, integrating both quantitative data and local tacit knowledge to predict soil properties. This work aimed to provide farmers with timely, location-specific agronomic information through mobile networks, thereby enhancing agricultural productivity and sustainability. At Argonne National Laboratory, my research has expanded to quantifying and characterizing carbon and nitrogen stocks and their ratios in permafrost regions. By integrating legacy soil data with cutting-edge geospatial techniques, I have achieved more accurate predictions and gained a deeper insight into soil processes, particularly in the context of climate change. My passion for geospatial data science lies in its transformative potential to revolutionize soil science, offering precise and scalable solutions to complex environmental challenges. Looking forward, I am particularly excited about the potential of AI and underground sensor networks for real-time soil monitoring. These technologies promise to deepen our understanding of soil variability, driving informed land management practices and contributing to global sustainability goals. As I continue to explore innovative approaches in geospatial data science, I aim to apply these methods across different landscapes and disciplines, advancing our understanding of environmental systems and contributing to solutions for critical global issues.