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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Detalles Bibliográficos
Autores principales: Berger, Katja, Caicedo, Juan Pablo Rivera, Martino, Luca, Wocher, Matthias, Hank, Tobias, Verrelst, Jochem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613397/
https://www.ncbi.nlm.nih.gov/pubmed/36081683
http://dx.doi.org/10.3390/rs13020287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613397/
https://www.ncbi.nlm.nih.gov/pubmed/36081683
http://dx.doi.org/10.3390/rs13020287

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