Quantification of MODIS Land Surface Temperature Downscaled by Machine Learning Algorithms
Land Surface Temperature (LST) is essential for understanding the interactions between the land surface and the atmosphere. This study presents a comprehensive evaluation of machine learning (ML)-based downscaling algorithms to enhance the spatial resolution of MODIS LST data from 960 m to 30 m, lev...
Tallennettuna:
| Päätekijät: | , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | englanti |
| Julkaistu: |
MDPI AG
2025-07-01
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| Sarja: | Remote Sensing |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2072-4292/17/14/2350 |
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