Resumo

PACCIORETTI, P. et al. Protocolo para automatizar la descarga de datos climáticos desde la nube y generar indicadores biometeorológicos para el monitoreo epidemiológico de cultivos. Agriscientia [online]. 2023, vol.40, n.1, pp.8-8. ISSN 1668-298X.  http://dx.doi.org/10.31047/1668.298x.v40.n1.39619.

Climate variables data derived from satellite imagery or producís 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 standardized computational procedures. The objective of this study was to develop a computational code to facilitate handling satellite images in order to derive climatic variables for a given spatiotemporal domain. The climate data was obtained from ERA5, a Copernicus Climate Change Service product. The protocol includes data download from the Google Earth Engine platform with a code developed in R language. The protocol developed includes statistical preprocessing of climatic data at fortnightly and/or monthly scale. By combining satellite-derived products with agronomic knowledge about a crop, climate data can be converted into biometeorological variables and used for spatiotemporal monitoring of crops. The process developed was validated by joint data from biometeorological variables at each site of an epidemiological study which has been monitoring two viruses for 15 years. The protocol may be applied to other satellite products using spatial data.

Palavras-chave : Google Earth Engine; R software; ERA5; cloud computing.

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