Sabine Grunwald, PhD 

Scientific curiosity propels to discover new knowledge! My academic journey has taken me to many beautiful places conducting research in landscapes with diverse soils, terrain, and land use—Florida including the Greater Everglades, Wisconsin, Hawaii, Texas, the continental U.S., India, Brazil, Peru, Australia, and Kenia. 

​

Grunwald's research studies focus on the change of soil-ecosystems - agricultural, forest, terrestrial and aquatic systems - across a variety of temporal and spatial scales (field to global scale). 

​

Grunwald's specific research interests and expertise: 

• Artificial intelligence (AI): machine learning and deep learning algorithms in soil, water and ecosystem sciences. AI applied to agriculture management.

• GeoAI and Earth Observation (EO) geospatial modeling.

• Pedometrics, pedo-econometrics and digital soil mapping.

• Soil and terrestrial carbon modeling.

• Best management practices; conversation management; climate-smart agricultural management.

• Regenerative agriculture.

• Soil health, soil security, and soil processes and dynamics.

• Soil proximal sensing (visible-near-infrared and mid-infrared spectroscopy)

• Remote sensing and geospatial analysis.

• Understand the impact of environmental stressors (e.g., land use and global climate change) on soil and terrestrial carbon dynamics.

• Develop multi-scale predictive models of soil and environmental properties across various spatial and temporal scales.

​