Fusion of sentinel-1 SAR and sentinel-2 MSI data for accurate Urban land use-land cover classification in Gondar City, Ethiopia

Fusion of sentinel-1 SAR and sentinel-2 MSI data for accurate Urban land use-land cover classification in Gondar City, Ethiopia

Abstract Effective urban planning and management rely on accurate land cover mapping, which can be achieved through the combination of remote sensing data and machine learning algorithms. This study aimed to explore and demonstrate the potential benefits of integrating Sentinel-1 SAR and Sentinel-2...

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Bibliographic Details
Main Authors: Shimelis Sishah Dagne, Hurgesa Hundera Hirpha, Addisu Teshome Tekoye, Yeshambel Barko Dessie, Adane Addis Endeshaw
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:Environmental Systems Research
Subjects:
Sentinel 2B MSI
Sentinel 1A SAR
Random forest
Support vector machine
Online Access:https://doi.org/10.1186/s40068-023-00324-5

Internet

https://doi.org/10.1186/s40068-023-00324-5

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