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Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression

Monitoring cropland phenology from optical satellite data remains a challenging task due to the influence of clouds and atmospheric artifacts. Therefore, measures need to be taken to overcome these challenges and gain better knowledge of crop dynamics. The arrival of cloud computing platforms such a...

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Detalhes bibliográficos
Publicado no:Remote Sens (Basel)
Main Authors: Salinero-Delgado, Matías, Estévez, José, Pipia, Luca, Belda, Santiago, Berger, Katja, Gómez, Vanessa Paredes, Verrelst, Jochem
Formato: Artigo
Idioma:Inglês
Publicado em: 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7613380/
https://ncbi.nlm.nih.gov/pubmed/36081813
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/rs14010146
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