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Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data

The unprecedented availability of optical satellite data in cloud-based computing platforms, such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval models from the local to the planetary scale. Hybrid retrieval models are of interest to run in these platforms as t...

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Библиографические подробности
Опубликовано в: :Remote Sens Environ
Главные авторы: Estévez, José, Salinero-Delgado, Matías, Berger, Katja, Pipia, Luca, Rivera-Caicedo, Juan Pablo, Wocher, Matthias, Reyes-Muñoz, Pablo, Tagliabue, Giulia, Boschetti, Mirco, Verrelst, Jochem
Формат: Artigo
Язык:Inglês
Опубликовано: 2022
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7613387/
https://ncbi.nlm.nih.gov/pubmed/36081832
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.rse.2022.112958
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