Improving land surface temperature estimation in cloud cover scenarios using graph-based propagation
Land surface temperature (LST) serves as an important climate variable which is relevant to a number of studies related to energy and water exchanges, vegetation growth and urban heat island effects. Although LST can be derived from satellite observations, these approaches rely on cloud-free acquisi...
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| Main Authors: | , , , , |
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| 格式: | Article |
| 語言: | English |
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2025
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| 在線閱讀: | https://hdl.handle.net/10356/183712 |
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