AI-Based Downscaling of MODIS LST Using SRDA-Net Model for High-Resolution Data Generation
Land surface temperature (LST) is a critical parameter in agricultural drought monitoring, crop growth analysis, and climate change research. However, the challenge of acquiring high-resolution LST data with both fine spatial and temporal scales remains a significant obstacle in remote sensing appli...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-10-01
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| coleção: | Remote Sensing |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2072-4292/17/21/3510 |
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