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Validation and Comparison of Cropland Leaf Area Index Retrievals from Sentinel-2/MSI Data Using Sl2P Processor and Vegetation Indices Models

Abstract : Leaf area index (LAI) measurements acquired during the SMAP Validation Experiment 2016 in Manitoba (SMAPVEX16-MB) field campaign were used to validate LAI estimates from Sentinel-2/MSI data using The Simplified Level 2 Product Prototype Processor (SL2P) processor and LAI estimates obtained from locally calibrated vegetation indices (VI) models. Results showed that performances of LAI/SL2P estimates (RMSE = 0.98, bias = -0.37, slope = 0.70), when compared to in-situ data, are lower than performances of LAI/VI estimates (RMSE = 0.38, bias = 0.19, slope = 0.75) when compared to the same in-situ data.
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https://hal.inrae.fr/hal-02964936
Contributor : Nelly Lucas <>
Submitted on : Monday, October 12, 2020 - 6:09:28 PM
Last modification on : Tuesday, March 16, 2021 - 2:34:43 PM

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Najib Djamai, Richard Fernandes, Marie Weiss, Heather Mcnairn, Kalifa Goita. Validation and Comparison of Cropland Leaf Area Index Retrievals from Sentinel-2/MSI Data Using Sl2P Processor and Vegetation Indices Models. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.4595-4598, ⟨10.1109/IGARSS.2019.8900557⟩. ⟨hal-02964936⟩

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