Novel Measures of Feedlot Ammonia Emissions: Indirectly through Random Forest Regression on Spectral Data and Directly through Spectral Matched Filter
Individual author or multiple authors
Individual
Major
Geology (GEOL)
Category of Work
Comps
Additional Category of Work
None
Degree
Bachelor of Arts
Class Year
2025
Comps Adviser(s)
Haileab, Bereket
Student Project URL If Available
https://github.com/Gerrit-Hoving/Carleton-Comps-Ammonia-Emission-Covariates
Keywords
air pollution, imaging spectroscopy, remote sensing, random forest models
Academic Civic Engagement (ACE) Comps Designation
no
Format
application/pdf
Files Uploaded
Text (paper), Website
Rights Management
Student author/s retain copyright to this work. Through online submission process, author/s granted Carleton College the non-exclusive rights to preserve this work as part of Carleton's academic history and to use it for teaching purposes and/or institutional research and assessment.