Active learning regularization increases clear sky retrieval rates for vegetation biophysical variables using Sentinel-2 data
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DOI: 10.1016/j.rse.2020.112241
Abstract: Abstract For typical cloud conditions, a clear sky retrieval rate (CSRR) >67% is required to meet the Global Climate Observing System temporal interval requirement of 10 days when mapping canopy biophysical variables (‘variables’). Physically based algorithms… read more here.
Keywords: sl2p; active learning; variables using; clear sky ... See more keywords