Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features

The Leaf Area Index (LAI) is an essential parameter for assessing vegetation growth. LAI derived from optical data can suffer from gaps caused by cloud cover. Synthetic Aperture Radar (SAR) presents a solution with its all-weather observation capability. To address these issues, this study proposes...

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Principais autores:	Mingqi Li, Pengxin Wang, Kevin Tansey, Fengwei Guo, Ji Zhou
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2025-08-01
סדרה:	International Journal of Applied Earth Observations and Geoinformation
נושאים:	SAR data Optical data Spatiotemporal features LAI Deep learning Spatiotemporal fusion
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1569843225003929
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