Utilizing Lidar to Predict Soil and Hydraulic Properties in a Georgia Piedmont Floodplain

A conference presentation at the Georgia Water Resources Conference explores the application of Lidar technology for predicting soil and hydraulic properties in a Georgia Piedmont floodplain. Learn how to develop detailed soil property maps using digital soil mapping (DSM) techniques and electromagnetic induction for improved water table fluctuation modeling. Discover the methodology involving Lidar imagery from NOAA, conditioned Latin Hyper Cube sampling design, and soil analysis across multiple depths at 50 locations. Examine the integration of ordinary kriging predictions with HYDRUS-1D modeling, incorporating measurements of bulk density, water retention, and infiltration rates. Follow the implementation of shallow wells and EM-31 electromagnetic conductivity monitoring to validate soil property predictions and understand the relationship between microtopography and soil evolution in a 50-acre crop field at the UGA Iron Horse Farm.