Employing sentinel-2 time-series and noisy data quality control enhance crop classification in arid environments: A comparison of machine learning and deep learning methods
Accurate and timely mapping of agricultural products is a crucial component in management and decision-making for promoting food security and sustainable development. The intricacy of differentiating diverse croplands due to the existence of small and winding agricultural fragments contributes to th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225003255 |
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