Model data of "Aerial imagery resolution optimization and machine learning model comparison for land cover classification"

Authors

• Jessica Suoja, Cal Poly HumboldtFollow

Document Type

Data

Publication Date

2026

Abstract

Downloadable zip file contents:

• 1MeterModel.csv (CSV file, 8.5 KB)
• 1MeterPrediction.csv (CSV file, 81.4 MB)
• 2MeterModel.csv (CSV file, 9.6 KB)
• 2MeterPrediction.csv (CSV file, 20.8 MB)
• 5MeterModel.csv (CSV file, 9.1 KB)
• 5MeterPrediction.csv (CSV file, 2.4 MB)
• 50CentimeterModel.csv (CSV file, 9.7 KB)
• 50CentimeterPrediction.csv (CSV file, 333.3 MB)
• 75CentimeterModel.csv (CSV file, 9.6 KB)
• 75CentimeterPrediction.csv (CSV file, 147.0 MB)
• 1125MeterModel.csv (CSV file, 9.0 KB)
• 1125MeterPrediction.csv (CSV file, 65.8 MB)
• 125MeterModel.csv (CSV file, 9.6 KB)
• 125MeterPrediction.csv (CSV file, 53.1 MB)
• 1375MeterModel.csv (CSV file, 9.5 KB)
• 1375MeterPrediction.csv (CSV file, 44.1 MB)
• 150MeterModel.csv (CSV file, 9.0 KB)
• 150MeterPrediction.csv (CSV file, 37.0 MB)
• 175MeterModel.csv (CSV file, 9.6 KB)
• 175MeterPrediction.csv (CSV file, 27.2 MB)
• ANOVAscript.R (R script, 3.8 KB)
• CARTscript.R (R script, 2.3 KB)
• RFscript.R (R script, 2.8 KB)
• SVMscript.R (R script, 2.6 KB)
• Rhistory (R history file, 0 B)

Recommended Citation

Suoja, Jessica, "Model data of "Aerial imagery resolution optimization and machine learning model comparison for land cover classification"" (2026). Research Data Sets. 6.
https://digitalcommons.humboldt.edu/data/6