Date of Award
Spring 5-5-2023
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Geography
First Advisor
Dr. Wenge Ni-Meister
Second Advisor
Dr. Sean Ahearn
Academic Program Adviser
Dr. Sean Ahearn
Abstract
Studies three sets of techniques for hyperspectral tree species classification at NEON science sites, aiming to work towards producing a general classification model.
Recommended Citation
Albanese, Anthony T., "Techniques for Tree Species Classification with Hyperspectral Imagery at NEON Science Sites" (2023). CUNY Academic Works.
https://academicworks.cuny.edu/hc_sas_etds/1068
Included in
Geographic Information Sciences Commons, Physical and Environmental Geography Commons, Remote Sensing Commons