A sampling workflow based on unsupervised clusters and multi-temporal sample interpretation (UCMT) for cropland mapping
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DOI: 10.1080/2150704x.2018.1500045
Abstract: ABSTRACT Accurate cropland maps are important input for various proposes, such as ecosystem service and land cover change monitoring, and the representativeness of sample training samples influence the cropland mapping accuracy significantly. This study aims… read more here.
Keywords: cropland; multi temporal; training; sampling workflow ... See more keywords