Spatial domain bridge transfer : An automated paddy rice mapping method with no training data required and decreased image inputs for the large cloudy area

• Published in: Computers and electronics in agriculture Vol. 181; p. 105978
• Main Authors: Zhang, Chengkang, Zhang, Hongyan, Zhang, Liangpei
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.02.2021; Elsevier BV
• Subjects: agriculture; Automation; Availability; electronics; food security; Machine Learning; Mapping; markets; Multi-temporal analysis; Paddy rice mapping; Phenological metrics; Phenology; Remote sensing; rough rice; Satellite imagery; satellites; time series analysis; Training; Phenological metrics; Paddy rice mapping; Multi-temporal analysis; Machine Learning

•We proposed a flexible operational framework to automatically map paddy rice.•Our experiments have revealed how many cloud-free images in cloudy regions were at least needed for automatic paddy rice mapping.•How to overcome the strong reliance on training data for machine learning-based methods for...