Using Landsat-5 for Accurate Historical LULC Classification: A Comparison of Machine Learning Models

Using Landsat-5 for Accurate Historical LULC Classification: A Comparison of Machine Learning Models

This study investigates the application of various machine learning models for land use and land cover (LULC) classification in the Kerch Peninsula. The study utilizes archival field data, cadastral data, and published scientific literature for model training and testing, using Landsat-5 imagery fro...

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Bibliographic Details
Main Authors: Denis Krivoguz, Sergei G. Chernyi, Elena Zinchenko, Artem Silkin, Anton Zinchenko
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Data
Subjects:
machine learning
LULC
Landsat
classification
Online Access:https://www.mdpi.com/2306-5729/8/9/138

Internet

https://www.mdpi.com/2306-5729/8/9/138

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