Protocol for automating climatic data download from the cloud and generating biometeorological indicators for crop epidemiological monitoring

Climate variables data derived from satellite imagery or products available in the cloud have wide coverage in space and time, good accuracy, and are generally freely accessible. However, obtaining and downloading climate variables at different spatial and temporal scales is limited by the lack of s...

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Detalles Bibliográficos
Autores principales: Paccioretti, Pablo, Giannini-Kurina, Franca, Suarez, Franco, Scavuzzo, Marcelo, Balzarini , Mónica, Alemandri, Vanina, Gómez Montenegro, Brenda E.
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Ciencias Agropecuarias 2023
Materias:
Google Earth Engine
R software
ERA5
cloud computing
software R
computación en la nube
Acceso en línea:https://revistas.unc.edu.ar/index.php/agris/article/view/39619
Aporte de:
AgriScientia de Universidad Nacional de Córdoba

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