Date of Award
2021-05-01
Degree Name
Master of Science
Department
Environmental Science and Engineering
Advisor(s)
Deana Pennington
Abstract
The project focuses on comparing land cover classification of traditional methods such as ArcGIS with newer ones such as Google Earth Engine (GEE) as well as discussing any potential tradeoffs. Two studies were performed in both platforms, the first involved analyzing land cover change in the Middle Rio Grande (MRG) region of southern New Mexico, far west Texas, and northern Chihuahua, Mexico. The MRG study focused on urban and agricultural change in the region using two different classification methods. The second study focused on creating a post-hurricane damage assessment (PDA) with the goal of developing an automated method of estimating the location and quantity of debris (focusing on trees). Overall, the research shows the pros and cons of each platform as well as which is better given user's overall standing in terms of equipment, prior experience, project size, and time constraints.
Language
en
Provenance
Received from ProQuest
Copyright Date
2021-05
File Size
61 p.
File Format
application/pdf
Rights Holder
Carlos Sebastian Reyes
Recommended Citation
Reyes, Carlos Sebastian, "How Does Land Cover Classification In Google Earth Engine Compare With Traditional Methods Of Land Cover Classification? What Are The Tradeoffs?" (2021). Open Access Theses & Dissertations. 3331.
https://scholarworks.utep.edu/open_etd/3331
Included in
Databases and Information Systems Commons, Environmental Sciences Commons, Geographic Information Sciences Commons