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Journal Article

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

Authors
/persons/resource/kberger

Berger,  Katja
0 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Rivera Caicedo,  Juan Pablo
External Organizations;

Martino,  Luca
External Organizations;

Wocher,  Matthias
External Organizations;

Hank,  Tobias
External Organizations;

Verrelst,  Jochem
External Organizations;

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Citation

Berger, K., Rivera Caicedo, J. P., Martino, L., Wocher, M., Hank, T., Verrelst, J. (2021): A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. - Remote Sensing, 13, 2, 287.
https://doi.org/10.3390/rs13020287


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5026385
Abstract
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