ee_gcs_to_local: Move results from Google Cloud Storage to a local directory

In ryali93/rgee: R bindings for calling the Earth Engine API

Description

Move results of an EE task saved in Google Cloud Storage to a local directory.

Usage

ee_gcs_to_local(task, dsn, overwrite = TRUE, quiet = FALSE)

Arguments

task	List generated after finished correctly a EE task. See details.
dsn	Character. Output filename. If missing, a temporary file will be assigned.
overwrite	Logical. A boolean indicating whether the file should be overwritten.
quiet	Logical. Suppress info message

Details

The task argument needs "COMPLETED" task state to work, since the parameters necessaries to locate the file into google cloud storage are obtained from ee$batch$Export$*$toCloudStorage(...)$start()$status().

Value

filename character vector.

Examples

## Not run: 
library(rgee)
library(stars)
library(sf)

ee_users()
ee_reattach() # reattach ee as a reserved word
ee_Initialize(email = 'data.colec.fbf',gcs = TRUE)

# Define study area (local -> earth engine)
# Communal Reserve Amarakaeri - Peru
rlist <- list(xmin = -71.13, xmax = -70.95,ymin = -12.89, ymax = -12.73)
ROI <- c(rlist$xmin, rlist$ymin,
         rlist$xmax, rlist$ymin,
         rlist$xmax, rlist$ymax,
         rlist$xmin, rlist$ymax,
         rlist$xmin, rlist$ymin)
ee_ROI <- matrix(ROI, ncol = 2, byrow = TRUE) %>%
  list() %>%
  st_polygon() %>%
  st_sfc() %>%
  st_set_crs(4326) %>%
  sf_as_ee()


# Get the mean annual NDVI for 2011
cloudMaskL457 <- function(image) {
  qa <- image$select("pixel_qa")
  cloud <- qa$bitwiseAnd(32L)$
    And(qa$bitwiseAnd(128L))$
    Or(qa$bitwiseAnd(8L))
  mask2 <- image$mask()$reduce(ee$Reducer$min())
  image <- image$updateMask(cloud$Not())$updateMask(mask2)
  image$normalizedDifference(list("B4", "B3"))
}

ic_l5 <- ee$ImageCollection("LANDSAT/LT05/C01/T1_SR")$
  filterBounds(ee_ROI)$
  filterDate("2011-01-01", "2011-12-31")$
  map(cloudMaskL457)

# Create simple composite
mean_l5 <- ic_l5$mean()$rename("NDVI")
mean_l5 <- mean_l5$reproject(crs = "EPSG:4326", scale = 500)
mean_l5_Amarakaeri <- mean_l5$clip(ee_ROI)

# Move results from Earth Engine to Drive
task_img <- ee_image_to_gcs(
    image = mean_l5_Amarakaeri,
    bucket = "rgee_dev",
    fileFormat = "GEO_TIFF",
    region = ee_ROI$geometry(),
    fileNamePrefix = paste0("my_image", Sys.time())
)

task_img$start()
ee_monitoring(task_img)

# Move results from Drive to local
img <- ee_gcs_to_local(task = task_img)

## End(Not run)

ryali93/rgee documentation built on May 13, 2020, 4:34 a.m.