Performance assessment of machine learning algorithms for mapping of land use/land cover using remote sensing data

The rapid increase in population accelerates the rate of change of Land use/Land cover (LULC) in various parts of the world. This phenomenon caused a huge strain for natural resources. Hence, continues monitoring of LULC changes gained a significant importance for management of natural resources and...

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Bibliographic Details

Published in:	Egyptian Journal of Remote Sensing and Space Sciences
Main Authors:	Zeeshan Zafar, Muhammad Zubair, Yuanyuan Zha, Shah Fahd, Adeel Ahmad Nadeem
Format:	Article
Language:	English
Published:	Elsevier 2024-06-01
Subjects:	Machine learning Remote sensing Land use/land cover
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110982324000231