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- W2901318147 abstract "In this paper, we study the estimation of olive tree biophysical properties driven by Sentinel-2 (S2) image inversion. The latter is based on the forwardlbackward radiative transfer (RT) model. The forward step is done simulating DART on a realistic tree mock-up, whereas the backward is done based on a coupling between the Look UP Table (LUT) and the Markov Chain Monte Carlo (MCMC). The parameters Leaf area index (LAI), chlorophyll (Cab) water (Cw) contents and mesophyll structure (N) are derived. The results are promising, in particular LAI and Cab values are close to those found in litterature." @default.
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- W2901318147 date "2018-07-01" @default.
- W2901318147 modified "2023-09-26" @default.
- W2901318147 title "Olive Biophysical Property Estimation Based on Sentinel-2 Image Inversion" @default.
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- W2901318147 doi "https://doi.org/10.1109/igarss.2018.8519208" @default.
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