Crop type mapping in the central part of the North China Plain using Sentinel-2 time series and machine learning
Computers and Electronics in Agriculture(2023)
摘要
•A 10 m crop type map with an overall accuracy of 93% was created.•Phenological and textural features in spring are most informative.•RF classifier with 20 RF-selected features generated the optimal results.
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关键词
Crop mapping,Sentinel-2 time series,Feature selection,Machine learning
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