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Fusing optical and SAR time series for LAI gap fillingwith multioutput Gaussian processes

The availability of satellite optical information is often hampered by the natural presence of clouds, which can be problematic for many applications. Persistent clouds over agricultural fields can mask key stages of crop growth, leading to unreliable yield predictions. Synthetic Aperture Radar (SAR...

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Bibliografski detalji
Izdano u:Remote Sens Environ
Glavni autori: Pipia, Luca, Muñoz-Marí, Jordi, Amin, Eatidal, Belda, Santiago, Camps-Valls, Gustau, Verrelst, Jochem
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7613333/
https://ncbi.nlm.nih.gov/pubmed/36082234
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.rse.2019.111452
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