A Decision Rule and Machine Learning-Based Hybrid Approach for Automated Land-Cover Type Local Climate Zones (LCZs) Mapping Using Multi-Source Remote Sensing Data
Md Didarul Islam,
Liping Di,
Chen Zhang
et al.
Abstract:This study presents a streamlined, automated classification method to map land-cover type Local Climate Zones (LCZs). Using a two-phase hybrid approach, we first generated training samples through universal decision rules and subsequently, a Machine Learning (ML) algorithm was trained on the generated samples to classify LCZs. The proposed model harnesses plant height data, combined with spectral bands and remote sensing indices, to accurately classify various land-cover types like dense forest, scattered tree… Show more
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