Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval of Leaf Area Index by Coupling Sentinel-2 and UAV Observations

Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval of Leaf Area Index by Coupling Sentinel-2 and UAV Observations

Leaf area index (LAI) estimates can inform decision-making in crop management. The European Space Agency’s Sentinel-2 satellite, with observations in the red-edge spectral region, can monitor crops globally at sub-field spatial resolutions (10–20 m). However, satellite LAI estimates require calibrat...

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Bibliographic Details
Main Authors: Andrew Revill, Anna Florence, Alasdair MacArthur, Stephen Hoad, Robert Rees, Mathew Williams
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
Sentinel-2
LAI retrieval
UAV multispectral data
winter wheat
Gaussian processes regression
Online Access:https://www.mdpi.com/2072-4292/12/11/1843

Internet

https://www.mdpi.com/2072-4292/12/11/1843

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