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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Detalles Bibliográficos
Autores principales: Salinero-Delgado, Matías, Estévez, José, Pipia, Luca, Belda, Santiago, Berger, Katja, Gómez, Vanessa Paredes, Verrelst, Jochem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613380/
https://www.ncbi.nlm.nih.gov/pubmed/36081813
http://dx.doi.org/10.3390/rs14010146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613380/
https://www.ncbi.nlm.nih.gov/pubmed/36081813
http://dx.doi.org/10.3390/rs14010146

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