Improving land surface temperature estimation in cloud cover scenarios using graph-based propagation

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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Bibliographic Details
Main Authors: Rolland, Iain, Selvakumaran, Sivasakthy, Shaikh Fairul Edros bin Ahmad Shaikh, Hamel, Perrine, Marinoni, Andrea
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2025
Subjects:
Earth and Environmental Sciences
Cloud cover
Graph propagation
Online Access:https://hdl.handle.net/10356/183712
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/183712

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