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A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

The current exponential increase of spatiotemporally explicit data streams from satellitebased Earth observation missions offers promising opportunities for global vegetation monitoring. Intelligent sampling through active learning (AL) heuristics provides a pathway for fast inference of essential v...

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Bibliographic Details
Published in:Remote Sens (Basel)
Main Authors: Berger, Katja, Caicedo, Juan Pablo Rivera, Martino, Luca, Wocher, Matthias, Hank, Tobias, Verrelst, Jochem
Format: Artigo
Language:Inglês
Published: 2021
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7613397/
https://ncbi.nlm.nih.gov/pubmed/36081683
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/rs13020287
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