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Ensemble Machine Learning on the Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use/Land Cover Mapping

In the United States, several land use and land cover (LULC) data sets are available based on satellite data, but these data sets often fail to accurately represent features on the ground. Alternatively, detailed mapping of heterogeneous landscapes for informed decision-making is possible using high...

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Principais autores: Mukti Ram Subedi, Carlos Portillo-Quintero, Nancy E. McIntyre, Samantha S. Kahl, Robert D. Cox, Gad Perry, Xiaopeng Song
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2024-07-01
סדרה:Remote Sensing
נושאים:
bagging
boosting
stacking
GEOBIA
autocorrelation
target-oriented cross-validation
גישה מקוונת:https://www.mdpi.com/2072-4292/16/15/2778
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