Rule-based training sample generation using Sentinel-2 GCVI time series for winter wheat mapping
Timely and accurate winter wheat mapping is essential for agricultural monitoring and food security. However, efficiently acquiring high-quality training data for supervised classification remains a challenge. In this study, we developed a rule-based method to automatically generate training samples...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2026-06-01
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| Col·lecció: | Science of Remote Sensing |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2666017226000027 |
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