Field crop mapping using machine learning and multi-sensor satellite fusion: toward dynamic agricultural monitoring

Monitoring crop dynamics with precision is vital for food security and sustainable agricultural management. Yet, conventional monitoring approaches often lack sufficient spatial resolution, revisit frequency, and scalability, particularly in heterogeneous and fragmented agricultural landscapes. This...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Nechama Z. Brickner, Lior Fine, Offer Rozenstein, Tarin Paz-Kagan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-12-01
Schriftenreihe:	Smart Agricultural Technology
Schlagworte:	Hierarchical classification Crop type mapping Sentinel-1 and sentinel-2 Random forest Phenology Crop rotation
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2772375525008810
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