Hedgerows Monitoring in Remote Sensing: A Comprehensive Review

Abstract

This comprehensive review delves into the importance of hedgerows in urban green spaces, emphasizing their significant role in sustainable development and providing ecological benefits. Accurate identification and characterization mapping of hedgerows are vital for effective land management, urban planning, and conservation efforts. The article explores the challenges associated with identifying hedgerows in urban environments and the complexities they present for automatic detection. It discusses the limitations of traditional methods and showcases the potential of advances in remote sensing technologies and artificial intelligence (AI) methods, such as deep learning algorithms. Results indicate that deep learning can generally achieve an accuracy of 75% for hedgerow identification. This review article sets out a vision for the future of hedgerow detection and monitoring.

Keywords

• Hedgerow
• remote sensing
• machine learning
• deep learning
• synthetic aperture radar
• LiDAR