Erosion and Sediment Control

Poster Presentation

Using LIDAR Data to Optimize Placement of Edge of Field Monitoring Stations and Soil Moisture Sensors to study Conservation vs Conventional Tillage

Tuesday, February 13
1:30 PM - 3:30 PM


Level of Presentation: Beginner

This project demonstrates the use of the Geographic Information System, ArcGIS, to find optimal locations for soil moisture sensors and edge-of-field monitoring stations within a field. This project will aid upcoming research studies by predetermining most suitable edge-of-field monitoring station and soil moisture sensor locations for comparing water balances associated with conservation verses conventional tillage operations.

This project is to show how to utilize high-quality LIDAR data to optimize placement of edge of field monitoring stations and soil moisture sensors within a field. The premise of this project is to study conservation tillage and its effects on soil water infiltration compared to conventional tillage. To investigate the water infiltration under these conditions, a full water balance of the fields under study must be conducted. Evapotranspiration, surface water runoff, rainfall, any additional irrigation, and soil moisture readings must be recorded to give an accurate understanding of the water movement in the selected fields. This project used the Geographic Information System program, ArcGIS, which allowed the authors to create high-quality digital elevation models, concentrated flow paths and the approximate watersheds for each of the concentrated flow paths. For each watershed, the percentage of field coverage was calculated and used to optimize the location for the edge of field monitoring station(s). In addition to the digital elevation models, aerial photography and Web Soil Survey data from USDA was used to identify slope, boundary conditions, and soil types for use in determining potential soil moisture sensor locations. When the sensors and equipment are installed, researchers will have knowledge of the land area contributing runoff to the edge of field monitoring station(s), which will be used to extrapolate measurements over the entire field for the water balance portion of the future study. This project will aid upcoming research studies by predetermining most suitable edge-of-field monitoring station and soil moisture sensor locations for comparing water balances associated with conservation verses conventional tillage operations.

Learning Objectives:

Target Audience: Academic,Engineer,Government Agency,Other

Rachel Collier

Graduate Assistant
University of Georgia

Rachel is a first year masters student studying Agricultural Engineering at the University of Georgia.

Presentation(s):

Send Email for Rachel Collier


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Using LIDAR Data to Optimize Placement of Edge of Field Monitoring Stations and Soil Moisture Sensors to study Conservation vs Conventional Tillage

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