Author

Jari Mahler

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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. · 0 citations