Impact of Interseasonal Climate Variation on Crop Classification With Deep Learning and Sentinel-1 Data in Denmark
Accurate crop classification is essential for sustainable agriculture, providing detailed insights into crop distribution for supporting large-scale agricultural management. Deep learning methods, when combined with satellite remote sensing data, have emerged as powerful tools to deliver unprecedent...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2026-01-01
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| Edice: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| On-line přístup: | https://ieeexplore.ieee.org/document/11570055/ |
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