A review of fusion framework using optical sensors and Synthetic Aperture Radar imagery to detect and map land degradation and sustainable land management in the semi-arid regions

AbstractThis paper examines a feature-level fusion framework for detecting and mapping land degradation (LD) and enabling sustainable land management (SLM) in semi-arid areas using optical sensors and Synthetic Aperture Radar (SAR) satellite data. The objectives of this review were to (i) determine...

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Bibliographic Details

Published in:	Geocarto International
Main Authors:	David Sengani, Abel Ramoelo, Emma Archer
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2023-12-01
Subjects:	Remote sensing Synthetic Aperture Radar Sentinel-1 Landsat 8. Land degradation sustainable land management
Online Access:	https://www.tandfonline.com/doi/10.1080/10106049.2023.2278325