Multi-annual sub-pixel land cover mapping with TESSERA latent embeddings
TESSERA latent embeddings are a well-suitable input to fraction mapping, performing slightly better than spectral-temporal-metrics-based models in many cases, but spline coefficients generally perform best when sufficient high-quality observations are available.
Franz Schug, David Klehr, Jari Mahler et al.
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