Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

Title
Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
Authors
Keywords
Gross primary productivity (GPP), Sentinel-2 (S2), Landsat 8, Machine learning (ML), Neural networks (NN), Radiative transfer modeling (RTM), Hybrid approach, Soil-canopy-observation of photosynthesis and the energy balance (SCOPE), C3 crops
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 225, Issue -, Pages 441-457
Publisher
Elsevier BV
Online
2019-04-01
DOI
10.1016/j.rse.2019.03.002

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