Research at the Geospatial Laboratory for Soil Informatics (GLSI) focuses on the spatial and temporal variability of soil properties in response to changing environmental processes. By studying soil landscape dynamics, our goal is to understand how land has evolved over time and its future capacity to support sustainable agriculture, economic development, and resilient ecosystems.
Our work integrates geomorphology—the study of landform changes over time—with soil science to develop advanced soil erosion models and assess their impact on landscapes. Using data science, machine learning, and geospatial technologies like LiDAR and GIS, our team analyzes landscape change at high resolution and validates models with field-based soil measurements. This research enhances predictive capabilities for soil conservation, land management, and environmental sustainability.
Our research applies concepts of Physical Geography, Geographic Information Science, and Soil Science to address agricultural, environmental, and sustainability issues. The following links are to some of the products that have come out of our research.
Also, the analysis tools and GIS datasets created during our research may be of interest:
Finally, this website has a research news page that lists recent papers from across the discipline of soil geography.