Machine Learning Approach to Wetland Delineation
Type of Proposal
Visual Presentation (Poster, Installation, Demonstration)
Faculty
Faculty of Science
Faculty Sponsor
Chris Houser
Proposal
Machine Learning Approach to Wetland Delineation Wetlands are a natural resource protected under federal law, and understanding their boundaries are necessary for management and protection. This study examines the variability of wetland boundary delineation. Wetland boundaries have multiple definitions and delineations can vary by evaluator. Specifically the background and training an individual or group has will determine where they define the wetland boundaries and delineate inter-wetland ecological regions. Diagnostic features such as soil type, vegetation, and hydrology are often used to define where a wetland begins or ends. This interactive presentation will highlight the uncertainty of wetland boundaries. Data will be collected during the presentation and included as part of the study. The complete data base will be used in a machine learning analysis to determine the diagnostic features and scales that evaluators are using to delineate wetlands.
Start Date
22-3-2018 2:30 PM
End Date
22-3-2018 4:30 PM
Location
Atrium
Grand Challenges
Healthy Great Lakes
Machine Learning Approach to Wetland Delineation
Atrium
Machine Learning Approach to Wetland Delineation Wetlands are a natural resource protected under federal law, and understanding their boundaries are necessary for management and protection. This study examines the variability of wetland boundary delineation. Wetland boundaries have multiple definitions and delineations can vary by evaluator. Specifically the background and training an individual or group has will determine where they define the wetland boundaries and delineate inter-wetland ecological regions. Diagnostic features such as soil type, vegetation, and hydrology are often used to define where a wetland begins or ends. This interactive presentation will highlight the uncertainty of wetland boundaries. Data will be collected during the presentation and included as part of the study. The complete data base will be used in a machine learning analysis to determine the diagnostic features and scales that evaluators are using to delineate wetlands.