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This vignette illustrates cloud-native access of across a range of common formats, including netcdf, Zarr, hdf5, hdf4, and COGs.
knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path="img/", message = FALSE, warning = FALSE )
(Right now these are somewhat generic examples, not necessarily based on NASA's EarthData sources and therefore not requiring authentication, but the workflow should be identical after calling edl_set_token()
)
library(stars) library(terra)
Cloud-read data from a public AWS S3 bucket, over https:
url <- paste0("https://era5-pds.s3.amazonaws.com", "/1979/01/data/air_pressure_at_mean_sea_level.nc") r <- terra::rast(url, vsi=TRUE) r
Cloud read of the same data, over S3 protocol:
Sys.setenv("AWS_NO_SIGN_REQUEST"=TRUE) s3uri <- "s3://era5-pds/1979/01/data/air_pressure_at_mean_sea_level.nc" r <- terra::rast(s3uri) Sys.unsetenv("AWS_NO_SIGN_REQUEST")
Cloud read of a 31 Terrabyte Zarr archive (S3, public https)
url <- "https://mur-sst.s3.us-west-2.amazonaws.com/zarr-v1" prefixes <- 'ZARR:\"/vsicurl/' slice <- '\":/analysed_sst:0"' addr <- paste0(prefixes, url, slice) y = terra::rast(addr)
library(tmap) data(World) india <-st_bbox( World$geometry[World$name == "India"] )
st_as_stars(y) |> st_crop(india) |> plot()
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