Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics

Classification of remote sensing images using machine learning models requires a large amount of training data. Collecting this data is both labor-intensive and time-consuming. In this study, the effectiveness of using pre-existing reference data on land cover gathered as part of the Land Use–Land C...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Beata Hejmanowska, Piotr Kramarczyk
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/1/240