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A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping

Precision AgricultureEnvironmental MonitoringEngineeringData ScienceLand UseSoil ClassificationGeographyMultiple DatasetsRemote SensingCover MappingLand CoverSample SelectionSocial SciencesLand Cover Map